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Researcher (Computer Vision / Machine Learning)

Committed to People, Committed to the Future. The Toshiba Group is an ambitious and forward-thinking brand, which is recognised for its history of world leading manufacturing and design of advanced electronics and information systems. We develop reliable technologies in the area of social infrastructure, energy, electronic devices and digital solutions with the aim of achieving a sustainable tomorrow. The Cambridge Research Laboratory is a vital part of Toshiba’s worldwide research and development network, as it is responsible for a number of significant world-first developments, and the results of its research are already finding their way into new Toshiba products.

Our staff are our greatest asset. We are an equal opportunity employer, recruiting the most talented researchers and allow them to work in a well-resourced, multicultural and academic environment to promote independent thought and creativity. Publishing at major conferences and in top journals is our main objective, and you will be able to actively contribute to our collaborations with Oxford and Cambridge Universities (Associate Membership is also possible), and the Toshiba Corporate R&D Center in Japan.

Apply by 22nd March 2020

More info | Contact: Stephan Liwicki | Posted on: 2020-02-24

30 PhD positions open in digital media technology

30 PhD positions in Digitally-Enhanced Reality

Deadline: Rolling deadline, first call closing at 17.00 (Irish time) on Wednesday 18th March 2020.
Scholarship: Full payment of university fees and a tax-free stipend of €18,500 per annum for four years. In addition, a budget for conference travel, equipment, training, placement maintenance and publication costs is provided.
Positions: These 30 positions are being advertised as part of the Science Foundation Ireland-funded Centre for Research Training in Digitally-Enhanced Reality (D-REAL). Successful applicants will form a cohort-based doctoral programme involving five leading universities in Ireland –Dublin City University, NUI Galway, Trinity College Dublin, Technological University Dublin and University College Dublin. The programme has a supervision team of 100+ academics and there will be four cohorts over the lifetime of the project. We are currently recruiting for cohort 2.
About the programme: Multimodal digital media, across video, text, image, speech and Virtual/Augmented Reality (VR/AR) content, are rapidly reshaping our working and living environments. Seamlessly blending digital media and interaction within the physical world offers disruptive potential to enhance our effectiveness, efficiency and quality of engagement in everyday life. The D-REAL programme is an innovative, industry partnered, research training programme that equips PhD students with deep ICT knowledge and skills across Digital Platform Technology, Content and Media Technology and their application in Industry sectors. D-REAL postgraduate students will make research breakthroughs in areas such as multimodal interaction, multimodal digital assistants, multilingual speech processing, real-time multilingual translation and interaction, machine intelligence for video analytics and multimodal personalisation and agency.
Topics: The D-REAL website lists the 30 available projects, giving details on the supervision team and a brief descriptor of the scope of the PhD project. You can view the topics at this link: d-real.ie/d-real-2020-phd-topics/
Minimum requirements:
2.1 grade (or equivalent) in an undergraduate or postgraduate degree in computer science, maths, engineering or similar technical discipline. Other qualifications in disciplines related to listed PhD topics will also be considered.
Strong programming ability.
Non-native English speakers require at least IELTS 6.5 (with at least 6 in all components) or equivalent.
Application procedure: Applications are to be made using the form provided on our ‘Apply to D-REAL’ webpage. You will be asked for personal details, academic track record, a personal statement and to list your top three topic preferences.
Queries: For queries about the programme please contact the programme manager, Stephen.Carroll@d-real.ie. For queries about the projects themselves please contact the primary supervisor of the particular project.

More info | Contact: Stephen Carroll | Posted on: 2020-02-24

Post-doctoral Fellowships in Skin Mechanics and Translational Imaging

Two post-doctoral scholar positions are available at the Vanderbilt Dermatology Translational Research Clinic (VDTRC.org) and the Vanderbilt University School of Engineering to launch translational research careers. We invite motivated candidates to apply their backgrounds in engineering, physics, and/or computer science to medical problems facing oncology patients. The goal is to develop, commercialize, and deploy technologies in our ongoing multicenter trials to track disease progression and response to treatment following stem cell / bone marrow transplantation. Specific projects are:

1. SKIN MECHANICS. The scholar will develop and validate a novel handheld clinical device to mechanically measure cutaneous sclerosis. This project will involve signal processing of mechanical vibrations, validation with ultrasound tissue phantoms, and clinical measurement. Our prior results: https://www.nature.com/articles/s41409-018-0346-7

2. ANALYSIS OF RASH IMAGES from smartphone and hyperspectral cameras. The scholar will analyze existing 2D and 3D skin images and advise prospective collection from collaborating centers. Technical approaches may include image registration algorithms, traditional image processing, crowd sourcing, and artificial intelligence such as clustering algorithms and deep learning for segmentation and colorimetric analyses. Our prior results: https://www.nature.com/articles/s41409-018-0211-8

Selected candidates will take the lead on the funded project and also will be encouraged to formulate their own research ideas. They will be provided infrastructure and mentoring for independent funding. Scholars will interact with a broad range of collaborating experts in clinical medicine and technology as well as several innovative partners in industry. Trainees in this well-funded program will enjoy competitive benefits including NIH rate salary.

Environment:
Selected candidates will benefit from a personalized research program catered to their goals utilizing resources and mentoring within Dermatology (Eric Tkaczyk), Computer Science (Benoit Dawant), Bioinformatics (Daniel Fabbri), Biomedical Engineering (Brett Byram and Anita Mahadevan-Jansen), and the Vanderbilt-Ingram Cancer Center (Madan Jagasia). This environment brings together clinicians, basic scientists, engineers and statisticians in close collaboration due to its interdisciplinary research and close physical proximity of the School of Medicine to the School of Engineering (100-200 yards).

Qualifications:
Applicants must have a demonstrated record of rigorous & creative contributions and a capacity to communicate effectively with experts from a range of disciplines. Interviews are underway, with the first position to be filled by summer 2020. The Vanderbilt University Medical Center is an equal opportunities employer.

Application and contact:
Every applicant should send a CV, a one-page personal statement, and two letters of recommendation with reference phone numbers and email addresses to:

Eric Tkaczyk, M.D., Ph.D.
Director, VDTRC (vdtrc.org)
Vanderbilt Dermatology
One Hundred Oaks Suite 26300
719 Thompson Lane
Nashville, TN 37204
VCICrecruit@gmail.com

More info | Contact: Eric Tkaczyk | Posted on: 2020-02-24

Applied Scientist

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?

The Role:
We are a smart team of doers that work passionately to apply cutting-edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. The team is using computer vision, machine learning, sensor fusion, real-time and distributed systems to convert requirements into concrete deliverables. A Researcher on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.

In this role, you will work closely with other researchers in the team to research, design, and deliver science components powering computer vision and active learning algorithms to cost-effectively create very large-scale training datasets for various compute vision/robotics applications. You will have the unique opportunity to work on multiple popular Computer Vision tasks altogether, therefore, embrace the great potential to innovate more. You will also be working on developing new algorithms to improve deep learning models including reducing the sample complexity, improving generalization ability, boost model robustness, etc. You will be a critical science contributor and can create a significant business impact to the company. This opportunity requires excellent technical, problem-solving, and communication skills. An ideal candidate will have a high teamwork mentality coupled with a strong bias for action yet always insisting on the highest standards.

More info | Contact: CHENG-HAO KUO | Posted on: 2020-02-24

Research Scientist in Medical AI

Vingroup Big Data Institute (VinBDI) is looking for a Research Scientist to join our Medical Imaging Team. This position aims to build large-scale and high-precision medical imaging solutions to facilitate effective clinical workflows. We are passionate about applying Computer Vision (CV), Machine Learning (ML) and Deep Learning (DL) models to build computed-aided detection (CAD) and computer aided diagnosis (CADx) systems from very large-scale clinical datasets of multiple imaging modalities (X-ray, CT, MRI, etc). After building prototypes that demonstrate the promise of your work, you will collaborate with the software engineering team to integrate your work into products as well as publish the work on top-tier journal/conferences.

What You'll Be Doing

Design and implement CV/ML/DL approaches to solving particular medical imaging problems related to detection, segmentation and classification in medical imaging.

Construct and normalize large-scale medical datasets (X-ray, CT, MRI, etc).

Keep up with the latest ML/DL research.

Produce top tier technical/clinical publications and transfer ML/DL models into products.

What We Need To See

A Ph.D. in Electrical Engineering, Computer Science, or a related field with 5+ years of relevant work experience in Medical Imaging, CV/ML/DL.

Publication records on top CV/ML/DL journals/conference and/or significant product development.

Excellent prototyping skills in Python; knowledge and development experience of common deep learning frameworks and packages (PyTorch, TensorFlow, Keras, etc.).

Deep experience in application areas such as medical imaging and computer vision;

Knowledge of medical imaging visualisation and PACs is a big plus.

More info | Contact: Hieu H. Pham | Posted on: 2020-02-24

PhD on Deep Learning for 3D Shape Retrieval

We are seeking a PhD candidate to work at the ATHENA Research Center, in cooperation with the Department of Informatics & Telecommunications of the University of Athens, Greece. The PhD will be co-advised by Ioannis Emiris (https://www.imis.athena-innovation.gr/en/people/member/64) and Yannis Avrithis (https://avrithis.net/). The position is for three years, starting in 2020.

The PhD aims at investigating and designing deep learning models to embed 3D shapes in vector spaces, using novel, powerful architectures and weak supervision settings. In particular, it will investigate methods operating on 3D point clouds directly by generalizing convolution to 3D while maintaining a sparse representation, not necessarily on the input point set. It will also explore settings including self-supervised, semi-supervised, weakly supervised, few-shot and incremental learning, allowing the use of unlabeled 3D data. Tasks to be investigated include classification, detection, segmentation and metric learning for 3D shape retrieval.

The PhD position is in the framework of GRAPES: Learning, Processing and Optimising Shapes, a Marie Sklodowska-Curie European Network (http://grapes-network.eu/).

The candidate should ideally have a Master's degree in Computer Science, Mathematics or Engineering; solid mathematical background and programming skills; fluency in English language; preferably, prior experience in computer vision, machine learning and deep learning.

Application instructions can be found at http://grapes-network.eu/phd-positions/how-to-apply/. In particular, candidates should satisfy eligibility conditions including trans-national mobility and being Early Stage Researchers (ESR).

Candidates are requested to send an initial expression of interest to Ioannis Emiris (emiris@athena-innovation.gr) and Yannis Avrithis (ioannis.avrithis@inria.fr) by March 10, 2020. Applications are reviewed continuously until the position is filled. The target starting date is September 1, 2020.

More info | Contact: Yannis Avrithis | Posted on: 2020-02-24

Ph.D. in Artificial Intelligence / Deep Learning / Reinforcement Learning for Transportation Systems

Position Overview:
This is an interdisciplinary position at the intersection of artificial intelligence, deep learning, and transportation systems. The Ph.D. student will work on research projects focused on developing innovative machine learning solutions for optimizing the operations of an electric autonomous vehicle-based transit system such as inferring trip characteristics, modeling trip choices, placement of charging stations along with reinforcement learning for optimizing the choice of system parameters.

The student will primarily be admitted to the Department of Electrical and Computer Engineering. The project will be conducted jointly between the Manitoba Learning and Artificial Intelligence Research (MLAIR) lab in the Department of Electrical and Computer Engineering and the Transportation Systems Research Lab in the Department of Civil Engineering at The University of Manitoba in Winnipeg (MB), Canada.

SUMMARY OF JOB FUNCTIONS:
• Algorithm design and development for machine learning, and statistical modeling solutions.
• Design and Development of Artificial Intelligence and Deep Reinforcement Learning-driven Solutions for Transportation Systems.
• Perform necessary quality control procedures to ensure accuracy and completeness of the research data.
• Preparing scientific manuscripts and reports.

QUALIFICATIONS AND EDUCATION REQUIREMENTS
• Masters in Computer Science, Computer Engineering, Electrical Engineering or related fields.
• Strong background in machine (deep) learning and statistical analysis.
• Strong background in classical and deep reinforcement learning.
• Strong scientific programming skills with Python; Matlab and Fortran are an asset.
• Facility with deep learning frameworks such as PyTorch, Keras, and Tensorflow.
• Hands-on in virtual environments.
• Proven research-based publications in deep learning.
• Excellent technical writing for scientific publications.
• A minimum G.P.A. of 3.5/4.5 or equivalent in your last 60 credit hours of study is required.
• A minimum IELTS score of 7.0 is required.
• Excellent problem-solving skills.
• Ability to work well with a team and to use initiative in achieving goals.
• Experience with reinforcement learning for transportation systems, simulation of traffic flow is a plus. Candidates with excellent experiences in reinforcement learning for other domains are encouraged to apply.

DEPARTMENT DESCRIPTION
At the Manitoba Learning and Artificial Intelligence Research (MLAIR) lab, we conduct high impact research in developing novel artificial intelligence and deep learning architectures for multimodality data such as imaging, computer vision, robotics, machine learning and data driven discovery of radiogenomic markers of disease progression, hybrid neural architectures for multi-format, multi-source spatiotemporal imaging data.

Research at the Transportation Systems Research Lab focuses on establishing interdisciplinary and collaborative research related to traffic flow modeling and simulation, adaptive traffic control, modeling and analysis of public transportation systems and transportation network analysis.

Please email Ahmed.Ashraf@umanitoba.ca for more details.

MLAIR Lab: https://home.cc.umanitoba.ca/~ashrafa/

Job Post Link: https://home.cc.umanitoba.ca/~ashrafa/positions/Ph.D._DLRL.pdf

More info | Contact: Ahmed Ashraf | Posted on: 2020-02-24

Applied Research Scientist

The Applied Research and Technology team for Photoshop and Digital Imaging is looking for a passionate applied research engineer to do research and development on building imaging and photography experiences that delight customers. This individual will work with a very multifaceted customer-focused engineering team and will be responsible for productizing research ideas. The successful candidate will help define and build “Adobe magic” in digital imaging applications for multiple platforms.

What you will do
Research and develop deep learning models to tackle computer vision and imaging processing problems. Provide real-world imaging solutions from state-of-the-art research and drive efforts to productize the solutions.
Build complete pipelines combining traditional computer vision algorithms and techniques with machine learning models to address a wide range of use cases and customer needs.
Collaborate with researchers, team members, UI designers, product managers, quality engineers and customers to convert research projects into polished features with phenomenal user experiences
Develop end-to-end solutions from back-end algorithms to front-end user experience
Come up with new and innovative ideas to implement new imaging features that will work well across desktop, mobile and cloud environments.
Maintain, evolve and improve existing features in a large, complex codebase
Identify mature research ideas and prototype for proof of concept.
Write design and architectural specs.
Participate in formal and informal code and design reviews.
Serve as a customer advocate, champion quality.
Bring energy, flexibility, focus and perfection to all projects and assignments.
Take initiative, seek new challenges and acquire necessary knowledge and skills to get the job done.

What you need to succeed
PhD in Computer Science or related field, with computer vision or machine learning emphasis preferable.
2+ years of software development experience with proven track record of designing, implementing and delivering high quality software.
Good blend of research and engineering skills to solve complex problems for shippable solutions.
Experience with deep learning technologies and frameworks required.
Solid foundation in computer science fundamentals, object-oriented programming, design patterns and software engineering best practices.
Ability to write efficient, clean and reusable code in Python and C++.
Computer vision and image-processing knowledge and experience preferred
Working knowledge and experience developing for multiple platforms including desktop, iOS and Android preferred.
Dedication to excellent coding practices.
Outstanding problem-solving & analytical skills.
Accustomed to working with large and complex software systems.
Outstanding written and verbal communication skills.
Passion for building high quality applications users love.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.

If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.

More info | Contact: Smitha Vagicherla | Posted on: 2020-02-24

Post-Doctoral Research Assistants

Job Description:
PENSEES Research Institute in Beijing and Singapore invites suitably qualified persons for the above position. As a Post-Doctoral Research Assistant, your wish is to embark on a career as an AI Algorithm Scientist. You will be involved in the research and development of various fundamental and cutting-edge machine learning (“ML”), deep learning (“DL”), computer vision algorithms that advances facial recognition software as well as the development of algorithm libraries for platform deployment.

Job Responsibilities:
As a Post-Doctoral Research Assistant, you will be responsible to:
1) Design and implement ML/DL/Computer Vision Algorithm for various types of application data and business cases, which includes facial recognition, smart community and enterprise security;
2) Assist in the migration, optimisation, maintenance and testing of algorithm modules for real applications;
3) Contribute to the life cycle of models from proof-of-concept, to scaling the training, to inference deployment at scale, using Pensees novel hardware and working closely with AI scientists to drive systems from prototyping to production level;
4) Involve in the submission of papers, taking part in research conferences and competitions.

Job Requirement:
To be considered for this position, you will need to have:
• PhD Degree in the area of Machine Learning, Computer Vision or Pattern Recognition;
• 1 - 3+ years of experience in DL, ML algorithms and model development;
• Proficiency in the use of programming languages such as C/C++/Python/Java, familiar with data structures, familiar with Caffe/Tensorflow/MXnet/DarkNet, algorithm design and implementation, and experience in the full development cycle from algorithm research to modelling, data preparation, test, evaluation and implementation in live environments;
• Strong analytical and strategic thinking skills to handle both the big picture and crucial technical decisions;
• Strong desire to follow the latest technological developments to implement cutting-edge algorithms for business applications;
• Good communication skills, proactive attitude and passionate about new technologies and ideas;
• Priority will be given to those with publications and awards in international competitions and top tier conferences and journals for algorithms and ML/DL/computer vision research and development. Experience in facial recognition and Computer Vision is preferred.

How to Apply?
If this sounds like you and you are looking for a new and exciting challenge, apply today to: hr.sg@pensees.ai. Our Chief Scientist will also be at CVPR 2020 and you can send your CV and contact her at jane.shen@pensees.ai. Find out more about Pensees at www.pensees.ai

More info | Contact: Evelyn Tan | Posted on: 2020-02-24

Applied Scientist II - Computer Vision and AI

Amazon Go - Advanced Projects Group in Boston's Metro-West area

Amazon is building an Advanced Projects Group in the Boston Metro-West area. Come join an ambitious project developing new technologies that go well beyond the current state of the cart to address an enormous market that will impact the daily lives of tens of millions of people.

We are looking for world-class scientists and engineers to explore new ideas, invent new approaches, and develop new solutions.

BASIC QUALIFICATIONS
Master’s degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and five years of research or work experience in a related occupation as equivalent to the Master’s degree and one year of research or work experience. Must have one year of research or work experience in the following skill(s): programming with C, C++, or Python; utilizing computer vision and machine learning technologies (deep learning or related); and analyzing and developing vision-based systems for complex project projects in Artificial Intelligence.

PREFERRED QUALIFICATIONS
· PhD in computer vision, machine learning, or related discipline
· Depth and breadth in state-of-the-art computer vision and machine learning technologies
· Publications at top-tier peer-reviewed conferences or journals
· Proven track record of innovation in creating novel algorithms and advancing the state of the art
· Ability to develop practical solutions to complex problems
· Strong communication and collaboration skills
· Proficiency in C/C++ and/or python

More info | Contact: Sean Ma | Posted on: 2020-02-19

Deep Learning Software Engineer

Responsibilities:

Candidate is responsible to play a technical lead role for machine learning & deep learning products for various hardware (such as CPU, GPU, accelerators). This job is responsible to bring the best accuracy/performance as well as easy-of-use to customer as well as work with internal & external partners. The job scope may include:
• Innovate, architect, design, implement, productize
• Research on acceleration algorithm, model transformation and low precision representation of deep learning workload
• Performance analysis and optimizations
• Collaborate within own team, within Intel, as well as with external partners across multiple GEOs.
• Solve technical issues, review others work, share knowledge, present results

Qualifications:

The candidate should have proven track record of a leadership role in machine learning & deep learning demonstrated by patents, publications, product delivery or other means.
The candidate should have some of the following qualifications:
• Publication records on top machine learning, NLP or computer vision journals & conference.

• Experience in deep learning frameworks such as PyTorch, TensorFlow, MXNet etc.…
o Have improved performance for one of the frameworks is a plus
o Have implemented new model on one of the frameworks is a plus
o Have ported a model from one framework to another is a plus
o Have used existing model to improve state-of-art of empirical problem is a plus
• CPU / GPU / AI accelerators
• Tensor / graph compiler
• Performance optimization / tuning
• Familiar with deep learning algorithm as well as traditional data analyze algorithm such as SVM, PCA, K-mean, etc.
• MLPerf benchmark
• High performance computing
• Excellent written and oral communication skills and be able to clearly communicate technical details and concepts

More info | Contact: Xueting, Xia | Posted on: 2020-02-19

Tenured Assistant Professor in Computer Vision

Tenured Assistant Professor position in Computer Vision open for applications at the Department of Computer Science, University of Bristol. We are looking for rising stars to establish her/his academic career and complement our leading activity in action recognition (egocentric or otherwise). Deadline for applications: 7th of April. For informal inquiries: dima.damen@bristol.ac.uk. Details in the link

More info | Contact: Dima Damen | Posted on: 2020-02-19

Position Summary

Worker Type: Permanent
Contract Type: Full Time

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.
Role and Responsibilities

Purpose of the Role:

We are currently looking for exceptional Computer Vision and Machine Learning engineers to join our growing team in Staines-upon-Thames. This is a good opportunity to work on next generation mobile devices from Samsung.

The prospective engineer will investigate vision techniques for content creation and image manipulation, e.g. style transfer, and processing of live camera frames and images on PC and mobile environment. The prospective engineer will have an opportunity to work on production environments and solve industry relevant problems.

As an Computer Vision and Machine Learning Researcher you will:

Review state of the art computer vision research papers and develop prototype solutions.
Development of software and algorithms for computer vision, image processing and deep learning models
Have technical responsibility for one or more significant sections of the assigned project
Translate complex functional and technical requirements into detailed design

Skills and Qualifications

Skills and attributes:

Required Skills

Masters, Ph.D., or equivalent experience in Computer Vision or Machine Learning (Computer Science, Mathematics, Engineering, etc.)
Programming proficiency one or more of programming language and APIs like OpenCV, Matlab, C++/Java/Python
Computer vision, machine/deep learning or related fields
Excellent communication, team work and a results-oriented attitude
Proficiency in problem solving and debugging
Desirable Skills

Content creation and image manipulation, e.g. style transfer
Computational photography, image segmentation and 3-D vision
Experience of using Deep Learning libraries like Caffe, Torch and/or TensorFlow
Experience of Android application development

More info | Contact: Albert Saa | Posted on: 2020-02-19

Researcher Image Processing/Computer Vision/Deep-learning

We at DeepCamera group (RISE Ltd.) are hiring. DeepCamera research group is focusing on developing innovative Imaging/Video pipeline and Computer Vision deep learning based applications to transfer smart capabilities to existing cameras.
In particular, will undertake the investigation for the improvement of all the aspects of the modern imaging/video pipeline, i.e., acquisition, storage, manipulation and visualization, as well as its applications, investigation of innovative computer vision applications to real-world problems, as well as the integration of the above techniques into embedded system (e.g. Jetson Nvidia).
The successful candidate will have the opportunity to conduct applied research in the aforementioned areas. The position holders will also participate in the preparation of research proposals for funding, project reports and deliverables, and travel abroad for dissemination activities. Furthermore, position holders should publish/present their research results in prestigious international conferences and journals and contribute to the research centre’s key performance indicators. The successful candidate will work under the supervision of the Team Leader of the DeepCamera group Dr Alessandro Artusi.

Qualifications:
• Bachelor's degree and postgraduate degree in a relevant field (e.g. Computer Science, Information Technology, Computer Engineering, Image Processing, Computer Vision, Computer Graphics) from an accredited institution
• Strong computer programming skills (e.g. C/C++, Pyhton, Matlab) is a must
• Knowledge of Deep-learning and usage of one of the existing Deep-learning environments (e.g. Keras, Tensorflow, Pytorch etc.) is a must
• High-impact research publications on relevant topics (a must for PhD holders/an advantage for non-PhD holders)
• Previous experience with embedded systems, i.e., Jetson Nvidia module, is considered an advantage
• Previous grant-writing experience is considered an advantage
• Previous relevant industrial experience will be considered an advantage
• Excellent knowledge of English language
• For non-EU applicants a work permit will be required.

Benefits: A very attractive remuneration package will be offered to successful candidate according to qualifications and experience.

Follow the link (More info) for the detailed submission process of your application.

More info | Contact: Dr. Alessandro Artusi | Posted on: 2020-02-19

Applied Scientist - Computer Vision

**Please visit Zillow Careers or email Hannah Moats, Zillow Recruiter, to apply**

About the Team

Are you interested in innovating new computer vision and deep learning technologies to power immersive experiences that change how people experience and envision their next home? Zillow’s Rich Media Experiences (RMX) team employs computer vision, 3D, and deep learning to invent the technology that enables Zillow's customers to make sense of a homes information in order to find their dream home. Using groundbreaking technologies, our team works across product, research, engineering, and business to enable people to walk through a home. You'll be offered a rare chance to create new state-of-the-art technologies that deliver unrivaled information and visual experiences to our customers. You can be a part of empowering the next-generation of home shopping.

About the Role

The RMX Team is looking for an Applied Scientist to help us advance Zillow's mission by developing outstanding and highly engaging user experiences. This is a new space, and the team wants to add a curious and intuitive scientist to help advance this initiative. The team is staffed with researchers, engineers, and designers building spatial understanding algorithms and deep learning models that power immersive media experiences for buyers and renters.

As an Applied Scientist, you will work to improve the efficiency and effectiveness of our team’s technical and research work and position them to thrive. You will be encouraged to think outside the box and challenge established assumptions and expectations, not by building on what we already have, but coming up with new ideas that spark innovation and creativity. Our solutions will ingest large volumes of data (imagery and metadata), and process it to build the exciting and immersive experiences that can be explored on zillow.com .

Who You Are

As an Applied Scientist, you are a roll-up-the-sleeves and get it done researcher in machine learning with exposure to computer vision. This is a new space, and we are looking for someone who has:

- A Ph.D. in Computer Science or Engineering, Machine Learning, Computer Vision, or related domain

- Exposure to computer vision research, building models & algorithms

- Proficiency (academic is acceptable) with a high-level programming language (Python and/or C++)

- Experience training machine learning models in frameworks like Tensorflow and PyTorch

- Strong record of academic collaboration with a publishing record

- Practical knowledge of Deep Learning (academic coursework is acceptable)

- The communication skills to work collaboratively to prototype, develop and implement new technologies

- The tenacity to embrace and solve challenging problems

More info | Contact: Hannah Moats | Posted on: 2020-02-19

Senior Computer Vision Engineer

Deep North is a computer vision company focused on delivering AI to the physical world. Deep North’s end-to-end software and hardware solutions combine artificial intelligence with computer vision enabling blue-chip retailers and enterprises to analyze human behavioral metrics in the physical world while preserving the privacy and integrity of each individual at the highest possible standards of anonymization.

You will:
• Research and develop cutting-edge perception algorithms: detection, segmentation, tracking, classification, and re-identification.
• Optimize our solution for production and edge deployment.

We are looking for:
• MS or Ph.D. in Computer Science or related fields.
• 2+ Years of industry experience developing Deep Learning and/or Computer Vision algorithms.
• Expert computer vision and deep learning background.
• Strong Python and C++ programming
• Experience in one or more of the following libraries: PyTorch, Tensorflow/Keras, CUDA, TensorRT.
• Able to communicate with a diverse team composed of experts and novices, in technical and non-technical roles.

Our ideal candidate is an expert Deep Learning and Computer Vision, has the experience required to transform research ideas into production. If interested, please send us an email with your CV/Resume.

More info | Contact: Abner Ayala | Posted on: 2020-02-19

Computer Vision Engineer

Deep North is a computer vision company focused on delivering AI to the physical world. Deep North’s end-to-end software and hardware solutions combine artificial intelligence with computer vision enabling blue-chip retailers and enterprises to analyze human behavioral metrics in the physical world while preserving the privacy and integrity of each individual at the highest possible standards of anonymization.

You will:
• Research and develop cutting-edge perception algorithms: detection, segmentation, tracking, classification, and re-identification.
• Optimize our solution for production and edge deployment.

We are looking for:
• MS or Ph.D. in Computer Science or related fields.
• Strong computer vision and deep learning background
• Strong Python and C++ programming
• Experience in one or more of the following libraries: PyTorch, Tensorflow/Keras, CUDA, TensorRT.
• Able to communicate with a diverse team composed of experts and novices, in technical and non-technical roles.

Our ideal candidate is an expert Deep Learning and Computer Vision, has the experience required to transform research ideas into production. If interested, please send us an email with your CV/Resume.

More info | Contact: Abner Ayala | Posted on: 2020-02-19

Senior Research Engineer – Image/video enhancement

Job purpose

As a senior research engineer at OPPO US Research Center, you will be working on developing image/video enhancement algorithms for mobile devices.

Duties and responsibilities

• Work in a collaborative environment to develop cutting-edge deep learning algorithms for image/video enhancement.
• Work in designing, training, evaluating, optimizing, and deploying deep learning models for mobile use cases.

Qualifications

Requirements:
• PhD degree in Computer Science, Computer Engineering, Electrical Engineering or master’s degree with 3~5 years of professional experience.
• Strong mathematical foundation in machine learning and deep learning.
• Track record of developing demanding deep learning algorithms and applications.
• Experience in developing deep learning algorithms for image/video enhancement, such as image/video denoising, image/video super-resolution, image/video HDR, image/video deblurring, etc.
• Experience in digital image/video processing, feature extraction, feature matching, and motion estimation.
• Experience with at least one of the deep learning frameworks such as TensorFlow, PyTorch, Caffe, and MXNet.
• Strong programming skills in Python, C/C++, Java, etc.

Preferred Qualifications:
• Experience in deploying deep learning algorithms on mobile platforms
• Experience in quantization for deep learning models.
• Strong background in smartphone architecture.
• Strong track record of Android development.
• Publications in top tier international conferences and journals, such as CVPR/ECCV/ICCV/NeurIPS/ICLR/PAMI/IJCV, etc.

More details can be found at: https://apply.workable.com/innopeaktech/j/7AC8250BF0/

More info | Contact: Zibo Meng | Posted on: 2020-02-19

Computer Vision and Deep Learning Researcher

ABOUT US:
Every single weekend, there are billions of fans cheering for their teams, and millions of players giving their best on the field. Sports connect people in a way that only a shared passion can achieve; it unites families; it creates friendships; it brings joy into the world. At Metrica Sports, we live to contribute to that passion.

We are on a mission to provide state-of-the-art performance analysis tools to clubs and media organizations at all levels of the game. If you share our mission and passion and you think you are up to the challenge, we want to hear from you!

ABOUT THE POSITION:
Our R&D team is focused on applying cutting-edge computer vision technology to extract knowledge and insight from video. We use a variety of techniques and approaches, ranging from well-known problems in computer vision such as object tracking or camera calibration to most recent challenges such as video scene understanding. At Metrica Sports you will:
-Work as applied research designing deep learning architectures to solve complex real problems in sports
-Improve algorithms in our current automatic systems for player and ball tracking, field detection, event recognition, scene understanding, among others.
-Be part of a small highly skilled team focused on researching and developing computer vision solutions for sports data analysis.

TO APPLY
In order to apply, please use this link: https://apply.workable.com/metrica-sports/j/B3B48C3035/apply/
We do not accept solicitations by recruiters, recruiting agencies, headhunters and/or outsourcing organisation

WHO WE ARE LOOKING FOR:
-You are crazy about sports.
-You have a startup spirit and are eager to leave your own mark in the sports you love.
-You are intrinsically curious, like to research new technologies and constantly want to learn and improve.
-You are highly collaborative, love to share your knowledge and want to work in a small and dynamic team.

YOU ARE A GOOD FIT IF:
-You are B.S or M.S (PhD is a plus) in Computer Science, Mathematics, Statistics, Machine learning or related fields.
-You have 3+ years of research experience in Computer Vision/Deep Learning projects
-You are able to apply scientific methodology in an industry setting.
-You are proficiency on Python and C++
-You have experience in object tracking problems
-You have knowledge about 2D-3D geometry view in computer vision problems
-You have proven knowledge and practical experience with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) applied to real problems (you should know at least one of the following deep learning frameworks: TensorFlow, Keras, PyTorch, MxNet, CNTK)
-You have experience with mathematics/science/engineering python tools such as: Scikit, Scipy, Pandas,etc.
-You have experience/knowledge in image captioning and scene understanding on video sequence
-You are self-driven and value autonomy
-Fluent in written and spoken English.

WE WOULD VALUE:
-Experience with camera calibration, reconstruction problems, structure from motion, etc
-Experience/knowledge in reinforcement learning and deep reinforcement learning
-Experience in optimization problems
-Experience in Natural Language Processing (NLP) problems
-Experience in Machine Learning for recommendation system

BENEFIT
-Be a part of the sports you love.
-Work in a company whose product is used by teams, coaches and analysts at all levels of the games. From Champions League winners to your local team.
-You will be working in a young but fast-growing startup. Possibilities to make an impact are everywhere.
-Remote position (UTC-4 to UTC+2)
-Annual salary between 40k - 65k plus equity. To be discussed depending on experience and location. Exceptions can be made for outstanding candidates.

https://apply.workable.com/metrica-sports/j/B3B48C3035/

More info | Contact: Metrica Sports | Posted on: 2020-02-19

Computer Vision and Deep Learning Engineer

ABOUT US:
Every single weekend, there are billions of fans cheering for their teams, and millions of players giving their best on the field. Sports connect people in a way that only a shared passion can achieve; it unites families; it creates friendships; it brings joy into the world. At Metrica Sports, we live to contribute to that passion.
We are on a mission to provide state-of-the-art performance analysis tools to clubs and media organizations at all levels of the game. If you share our mission and passion and you think you are up to the challenge, we want to hear from you!

ABOUT THE POSITION:
Our R&D team is focused on applying cutting-edge computer vision technology to extract knowledge and insight from video. We use a variety of techniques and approaches, ranging from well-known problems in computer vision such as object tracking or camera calibration to most recent challenges such as video scene understanding. At Metrica Sports you will:
-Be the nexus between the RnD and engineering department. Helping translate new discoveries into product features.
-Work as deep learning engineer training/testing/deploying models to solve real problems in sports
-Improve algorithms in our current automatic systems for player and ball tracking, field detection, event recognition, scene understanding, among others.
-Be part of a small highly skilled team focused on researching and developing computer vision solutions for sports data analysis.
TO APPLY:
In order to apply, please use this link: https://apply.workable.com/metrica-sports/j/CEBE3D0C7D/apply/
We do not accept solicitations by recruiters, recruiting agencies, headhunters and/or outsourcing organisation

WHO WE ARE LOOKING FOR:
-You are crazy about sports.
-You have a startup spirit and are eager to leave your own mark in the sports you love.
-You are intrinsically curious, like to research new technologies and constantly want to learn and improve.
-You are highly collaborative, love to share your knowledge and want to work in a small and dynamic team.

YOU ARE A GOOD FIT IF:
-You are B.S in Computer Science, Mathematics, Statistics, Machine learning or related fields.
-You have 3+ years as Computer Vision/Deep Learning Engineer
-You have experience applying deep learning models to real problems
-You work with and create GPU enabled containerized processes (Dockers).
-You are proficiency on Python and C++
-You have experience in object tracking problems
-You have knowledge about 2D-3D geometry view in computer vision problems
-You have proven knowledge and practical experience with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) applied to real problems (you should know at least one of the following deep learning frameworks: TensorFlow, Keras, PyTorch, MxNet, CNTK)
-You are self-driven and value autonomy
-Fluent in written and spoken English.

WE WOULD VALUE:
-Experience deploying deep learning models on cloud (AWS)
-Interact with a RESTful API using either Python or NodeJS HTTP libraries.
-Create bindings for NodeJS native modules.
-Experience/knowledge in image captioning and scene understanding on video sequence
-Experience with camera calibration, reconstruction problems, structure from motion, et

BENEFITS
-Be a part of the sports you love.
-Work in a company whose product is used by teams, coaches and analysts at all levels of the games. From Champions League winners to your local team.
-You will be working in a young but fast-growing startup. Possibilities to make an impact are everywhere.
-Remote position (UTC-4 to UTC+2)
-Annual salary between 40k - 65k plus equity. To be discussed depending on experience and location. Exceptions can be made for outstanding candidates.

https://apply.workable.com/metrica-sports/j/CEBE3D0C7D/

More info | Contact: Metrica Sports | Posted on: 2020-02-19

Computer Vision and Deep Learning Researcher

ABOUT US:
Every single weekend, there are billions of fans cheering for their teams, and millions of players giving their best on the field. Sports connect people in a way that only a shared passion can achieve; it unites families; it creates friendships; it brings joy into the world. At Metrica Sports, we live to contribute to that passion.

We are on a mission to provide state-of-the-art performance analysis tools to clubs and media organizations at all levels of the game. If you share our mission and passion and you think you are up to the challenge, we want to hear from you!

ABOUT THE POSITION:
Our R&D team is focused on applying cutting-edge computer vision technology to extract knowledge and insight from video. We use a variety of techniques and approaches, ranging from well-known problems in computer vision such as object tracking or camera calibration to most recent challenges such as video scene understanding. At Metrica Sports you will:

-Work as applied research designing deep learning architectures to solve complex real problems in sports
-Improve algorithms in our current automatic systems for player and ball tracking, field detection, event recognition, scene understanding, among others.
-Be part of a small highly skilled team focused on researching and developing computer vision solutions for sports data analysis.
TO APPLY
In order to apply, please use this link: https://apply.workable.com/metrica-sports/j/B3B48C3035/apply/
We do not accept solicitations by recruiters, recruiting agencies, headhunters and/or outsourcing organisation

WHO WE ARE LOOKING FOR:
-You are crazy about sports.
-You have a startup spirit and are eager to leave your own mark in the sports you love.
-You are intrinsically curious, like to research new technologies and constantly want to learn and improve.
-You are highly collaborative, love to share your knowledge and want to work in a small and dynamic team.

YOU ARE A GOOD FIT IF:
-You are B.S or M.S (PhD is a plus) in Computer Science, Mathematics, Statistics, Machine learning or related fields.
-You have 3+ years of research experience in Computer Vision/Deep Learning projects
-You are able to apply scientific methodology in an industry setting.
-You are proficiency on Python and C++
-You have experience in object tracking problems
-You have knowledge about 2D-3D geometry view in computer vision problems
-You have proven knowledge and practical experience with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) applied to real problems (you should know at least one of the following deep learning frameworks: TensorFlow, Keras, PyTorch, MxNet, CNTK)
-You have experience with mathematics/science/engineering python tools such as: Scikit, Scipy, Pandas,etc.
-You have experience/knowledge in image captioning and scene understanding on video sequence
-You are self-driven and value autonomy
-Fluent in written and spoken English.

WE WOULD VALUE:
-Experience with camera calibration, reconstruction problems, structure from motion, etc
-Experience/knowledge in reinforcement learning and deep reinforcement learning
-Experience in optimization problems
-Experience in Natural Language Processing (NLP) problems
-Experience in Machine Learning for recommendation system
-Benefits
-Be a part of the sports you love.
-Work in a company whose product is used by teams, coaches and analysts at all levels of the games. From Champions League winners to your local team.
-You will be working in a young but fast-growing startup. Possibilities to make an impact are everywhere.
-Remote position (UTC-4 to UTC+2)
-Annual salary between 40k - 65k plus equity. To be discussed depending on experience and location. Exceptions can be made for outstanding candidates.

https://apply.workable.com/metrica-sports/j/B3B48C3035/

More info | Contact: Metrica Sports | Posted on: 2020-02-19

Fully-funded PhD studentship in deep learning/computer vision

The University of Lincoln is seeking to appoint a motivated, inquisitive PhD candidate to join a diverse team of researchers in the School of Computer Science. You will have a masters (ideally) or bachelor’s degree (2:1 or above, with honours) or equivalent in computer science, engineering, bioinformatics, or a related discipline.

Your project will focus on the development of computer vision/machine learning techniques to monitor the behaviour of mice in the "home cage", with a view towards developing a general-purpose open-source framework for the animal research community. Unsupervised deep learning techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), and combinations thereof, offer great promise for the detection of anomalies in both image and video data. You will develop techniques along these lines using hundreds of hours of video footage acquired of mice via an infrared camera. This project will provide you with ample opportunity to explore a wide range of techniques for the detection and localisation of group-level abnormal behavioural events using real-world data.

You will join our diverse team of academics, postdocs and postgraduate students led by Prof Nigel Allinson MBE (Distinguished Chair of Image Engineering, College Director of Research). Your project will be undertaken under the supervision of Dr James Brown (Senior Lecturer/Assistant Professor in Imaging/Vision) and Prof Xujiong Ye (Professor of Medical Imaging & Computer Vision, School Director of Research). You will also have the opportunity to collaborate and visit with leading researchers in mammalian genetics at the Mary Lyon Centre, MRC Harwell Institute (Oxfordshire). They will provide invaluable insight, guidance, and data in support of this project for its duration.

This 3-year PhD studentship is funded by the NC3Rs, which is an independent scientific organisation that legally operates under the umbrella of the Medical Research Council (MRC). The annual stipend will be as set by the MRC. Tuition fees, consumables and travel expenses are included. This funding is only available to UK/EU candidates ordinarily resident in the UK for at least three years prior to the start of the studentship. This excludes those residing in the UK wholly or mainly for the purpose of full-time education. For more information, please refer to the UKRI guidance: https://www.ukri.org/files/funding/ukri-training-grant-terms-and-condit….

The University of Lincoln is committed to fostering a culture and environment where individual differences are appreciated and respected, ensuring equitable and fair treatment for all. Applicants will be considered without regard for age, disability, gender, marital status, pregnancy/maternity, race, religion, sex, or sexual orientation.

More info | Contact: Dr James Brown | Posted on: 2020-02-19

Multiple Postdoctoral Fellowship Machine Learning and Artificial Intelligence: Spatiotemporal

Application deadline: Thursday, 20th February 2020, AEST 11:59pm

CSIRO’s Data61 is seeking to appoint two CSIRO Postdoctoral Fellows for their Machine Learning and Artificial Intelligence: Spatiotemporal.

As the Postdoc Fellow, you will sit within the Spatiotemporal Activity (group) and work closely with leading machine learning and artificial intelligence experts in Data61 CSIRO. You will work in collaboration with other CSIRO Business units to develop fundamental and transformative spatiotemporal machine learning/artificial intelligence algorithms and workflows for complex systems (e.g, agricultural, environmental, mineral, biosecurity, robotics). Since manual annotation of large, multimodal, high-dimensional spatiotemporal data is challenging, approaches to use large collections of unlabelled data to learn generic representations are important. Your research will focus on spatiotemporal encoding to ensure generalisation and transferability and algorithms that combine multiple sources of data with domain knowledge and constraints. This will be done within national and international settings, and as part of a diverse multidisciplinary team.

How to Apply

Please apply on-line and provide a response to criteria and CV that best demonstrate your motivation and ability to meet the requirements of this role.

More info | Contact: Peyman Moghadam | Posted on: 2020-02-19

PhD in Perception and Forecasting, Computer Vision and Machine Learning

The newly founded Perception and Intelligence Lab (PINLab) is seeking exceptional and highly-motivated full-time Ph.D. students to research on one or a combination of these topics:
- Forecasting the future motion of people, vehicles and other objects
- Detection, recognition and re-identification with RGB and novel event-cameras
- Learning to learn (meta learning) and to generalize (domain adaptation)

The research work would leverage and define novel state-of-the-art models based on Deep Neural Networks and Spike Neural Networks, addressing the network memory, learning, reasoning and adaptation capabilities.
Initial work would stand on most recent achievements from our team, published at the TOP conference (CVPR) and journal (TPAMI) in the field:
- B Munjal, S Amin, F Tombari, F Galasso. Query-guided End-to-End Person Search. CVPR'19. (https://arxiv.org/abs/1905.01203)
- I Hasan, F Setti, T Tsesmelis, V Belagiannis, S Amin, A Del Bue, M Cristani, F Galasso. Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets. TPAMI'19 (https://arxiv.org/abs/1901.02000)
- I Hasan, F Setti, T Tsesmelis, A Del Bue, F Galasso, M Cristani. MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses. CVPR'18 (https://arxiv.org/abs/1805.00652)

The PhD student would collaborate with scientists at the Dept. of Computer Science at Sapienza (https://www.di.uniroma1.it/en), a department of Excellence in Italy: #1 in Computer Science and in the top 1% among all other Italian departments. The student would be given the opportunity to collaborate with international academic partners and companies, to experience research and innovation transfer.

We provide equal opportunities to all applicants and favour diversity. Any expertise or prior knowledge in computer vision and machine learning is welcome. Prior publication at international conferences is an advantage. Ability to program in Python/C/C++ is desirable, as well as prior experience with Pytorch and TensorFlow. Other programming languages, communication skills and team play will also be welcome.

Submit your expression of interest by 15 March 2020
Direct your submission to Prof. Fabio Galasso (galasso@di.uniroma1.it), head of the PINLab.
Include your CV, cover letter, publication list and contact details of 2 referees.

Eligibility: the Ph.D. call would be funded by Sapienza and reserved to foreign candidates (non-Italian and not having resided in Italian for more than 6 months in the previous 3 years).

More info | Contact: Fabio Galasso | Posted on: 2020-02-19

Data Scientist - Wearables focus

Alto Neuroscience is a private company headquartered in the San Francisco Bay Area. Alto is developing a new generation of neural biomarker-based diagnostic tests and personalized treatments for use in psychiatry, based on a platform built from data aggregated at scale and proprietary artificial intelligence analysis tools. The team combines world-leading neuroscientists and business executives with experience commercializing products for the brain.

There currently is no objective way to diagnose psychiatric illness, nor to identify which treatment is best for an individual patient. Treatment selection is presently done by trial-and-error as there are no reliable blood tests nor objective brain measures, for example, that can inform these decisions. This results in clinical care that is highly inefficient and costly. Alto is focused on addressing this need through finding novel brain biomarkers that can define actionable subtypes of psychiatric illnesses, or inform the development and deployment of new treatments. To that end, we are building a platform capable of identifying a pipeline of new brain-based candidate biomarkers that can underpin new product opportunities. As part of this pipeline we are exploring the role of wearable device signals relevant to brain function.

ROLE SUMMARY - DATA SCIENTIST
Under direct supervision of the chief technology and medical officers, the Data Scientist will oversee and perform analysis of wearables datasets. They will work closely with the clinical team to understand the context of the data and their implications, and with the data science team to align analytics with the other projects at Alto. Work will include help with the design and analysis of wearables data, primarily in MATLAB and/or python, for the following tasks:
- Development of processing analytic pipelines for wearables data, including a focus on time series analyses
- Relating brain and wearables signals with clinical information using various analytics including machine learning
- Work closely with Alto’s data science and medical teams to deliver novel diagnostic and therapeutic solutions for brain health

ROLES AND RESPONSIBILITIES
- Build and deploy analysis models
- Develop visualization tools to interpret results
- Daily responsibilities will include algorithmic design and implementation, data analysis,
coding/debugging, troubleshooting, health monitoring/alerting.

QUALIFICATIONS AND EDUCATION REQUIREMENTS
- Degree in Statistics, Bioinformatics, Computer Science, Neuroscience, Engineering, or other quantitative fields
- 2+ years of Python or MATLAB programming/development experience
- Machine learning experience desired
- Be a team player while being able to work independently
- Share a desire to improve mental healthcare delivery
- Coding experience in linux/CentOS environment

If interested, please email info@altoneuroscience.com and let us know why you think you would be a good fit for the role.

More info | Contact: Jillian Autea | Posted on: 2020-02-19