Job Board

The Group for Vision and Intelligent Systems (GVIS: http://gvis.unileon.es) at the University of León is looking for PhD candidates interested in a fully funded position to do her/his PhD thesis in Deep Learning applied to Fake News detection, which will include Computer Vision or Natural Language Processing. GVIS group collaborate with INCIBE (Spanish National Cybersecurity Institute, https://www.incibe.es/en) in developing tools to fight against cybercrime. INCIBE is the leading cybersecurity institute in Spain and this research position will be focused on providing new solutions to detect fake news in social media and the Internet. New algorithms developed will be integrated into INCIBE tools.

We are looking for candidates with a strong academic record and an M.Sc. degree in computer science or very close fields, preferably with expertise in machine learning, computer vision or natural language processing. Good programming skills in Python and experience with deep learning frameworks as well as publications in top conferences or journals are a bonus.

We offer a competitive salary and to work in a flexible and international research environment with close interaction with industry, what will provide the possibility of both filing patents and publishing papers in relevant journals when obtaining your PhD.

The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is having openings for PhD positions in computer vision and image processing. Topics of interest include fundamental topics in AI like multi-task learning, complex and hypercomplex neural networks, self-supervised learning, and their applications in diverse areas like healthcare, multimedia processing, and remote sensing. A master's degree in computer vision, image processing, or a related field is required. Successful candidates are expected to have published in leading computer vision conferences and/or journals.

SLAMcore is a London-based startup founded by visual SLAM algorithm pioneers and specialists. With generous funding from top venture companies, we are developing breakthrough Spatial AI solutions for next generation robots and other smart devices by harnessing computer vision, sensor fusion and machine learning. Our aim is to greatly reduce the time and cost for companies to deploy advanced robotic solutions whilst delivering performance they could never achieve on their own.

We are looking for an intern to work on the next generation of Spatial AI systems that combine deep learning and SLAM to overcome some of the limitations of more standard approaches. You will be exploring new deep learning methods to learn how to fuse depth and semantics into volumetric data structures that will be used for robot planning and navigation. There will be opportunities to publish your research into relevant scientific conferences and potentially fill a patent.

The length of the internship will be 4 months and the work will be carried out in our offices in central London with flexibility to work some days from home. The ideal starting date will be July 2020.

Please check more information in the link below:
https://careers.slamcore.com/jobs/874411-deep-learning-and-slam-researc…

SmartMore is a fast-growing AI company founded by a world-class research and development team, and is also backed by top-tier international institutional investors. With its blood in deep learning and computer vision, SmartMore sets its overarching mission as empowering enterprises and individuals with smart, affordable and ever-evolving AI technologies and services from day one. We cannot be more excited about this fascinating and transformative journey.

www.smartmore.com

Responsibilities

- Analyze and improve performance of advanced algorithms and research in Computer Vision Pattern Recognition, Image Processing, and Computational Imaging, both with traditional algorithms and Deep Learning approaches

- Implement the cutting-edge algorithms and evaluate them with real-life data and challenges

- Develop solutions that can be applied in Intelligent Manufacturing and Ultra HD Video Apps

Qualifications

- Currently has or is in the process of obtaining Ph.D./Master degree in Computer Science, Information Automation, Electrical Engineering, Applied Mathematics and other related majors

- Relevant work in Computer Vision & Machine Learning companies or as a researcher in a lab. Extensive and deep research experience in, and familiarity with, the literature and the state-of-the-art research/practice in related areas

- Papers published in top-tier conferences or journals (CVPR, ICCV, ECCV, NIPS, ICML, AAAI, TPAMI, IJCV, etc.)

- Rich experience on ACM or other coding competitions, or has open source code on GitHub which has a good impact.

If you are the person with passion, creativity and commitment, come and join us!

To apply, please email your CV to recruit@smartmore.com

More info www.smartmore.com

Who we are:

We are Dataminr. We are a mission-driven company committed to the power of AI, public data, and real-time information as a force for good in the world. Over the last decade, our team has established and refined the leading AI platform for real-time event and risk detection. We surface the earliest signals of unfolding events and emerging risks within an increasingly diverse and complex landscape of publicly available information, enabling more effective risk mitigation strategies, faster response, and better crisis management. Dataminr serves thousands of professionals in 70+ countries by delivering timely, relevant, and actionable alerts to public and private sector organizations around the world.

We’ve grown to over 500 talented employees across seven global offices and raised $392 million in funding in our most recent investment round. Our culture promotes cross-team interaction, work-life balance and the sharing of information and ideas because it enables us to do our best work together, make a meaningful contribution, and have fun. Join us and help the world manage risk in real time.

Who you are:

You’re a research scientist who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator.

Responsibilities:

- Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: image and video classification, object recognition, event detection, forensics, caption generation, etc.
- Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
- Contribute to the research community via publications in top tier venues, participation in program committees, etc.
- Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
- Senior candidates are expected to lead technical areas and/or people.

Minimum qualifications:

- Ph.D. in Computer Science or related fields.
- Experience in one or several of the following topics above, with an emphasis on real time and scalability.
- Outstanding publication record (CVPR, ICCV, NIPS, ICML, etc.).
- Experience in Java, Scala, Python, or similar languages.
- Demonstrated ability to work independently, set up experiments and demonstrate progress through principled used of metrics.
- Familiarity with machine learning and deep learning tools (TensorFlow, PyTorch, Scikit-learn, etc)
Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships).

Why you should work here:

We recognize and reward hard work with:

- competitive compensation package including company equity.
- paid benefits for employees and their dependents, including medical, dental, vision, disability and life insurance.
- 401(k) savings plan with company matching.
- flexible spending account for out-of-pocket medical, transit, parking and dependent care expenses.

We want you to be your best, authentic self by supporting you with:

- a diverse, driven, and passionate team of coworkers who want you to succeed.
- opportunities to own and drive important critical projects.
- individual Learning and Development fund and professional training.
- generous leave and flexible hours.
- daily catered lunch and a fully stocked kitchen.
- And more!

Note: For this role, only candidates with Ph.D.s in the areas above will be considered. If you do not meet that requirement please consider either the Data Scientist or other positions.

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

We are looking for postdoctoral researcher in the areas of medical image analysis and translational cancer research to join a newly established research lab (https://sites.google.com/view/wuanderson/home). The research themes are center on 1) develop innovative quantitative imaging biomarkers to characterize cancer phenotypes; 2) integrate image with multi-omics data across multiple scales to decipher cancer mechanisms; 3) validate and translate imaging biomarkers to guide clinical practice.

We are looking for candidates who are enthusiastic in cancer research, self-motivated, and determined to improving cancer patient treatment. Candidates from a diverse background are encouraged to apply. This position requires skills of advanced image analysis, e.g., image segmentation, image registration, and image-based feature extraction. Top applicants are required to have training in machine learning/deep learning, and proficiency in Python and MATLAB. The candidates must be fluent in written/spoken English and good at presenting research accomplishments.

We will offer meaningful projects at the forefront of cancer research, where the successful candidates will work in a highly collaborative and diverse, multidisciplinary team. They will have the opportunity to closely interact with world-class radiologists, medical physicists, oncologists, biostatisticians, and scientists. We are dedicated to maintaining a pleasant working environment, mentoring young trainees, and ensuring your career success.

Candidates should submit the following materials electronically to Dr. Jia Wu. Please email JWu11@mdanderson.org the following:
1. A current curriculum vitae.
2. Two publications.
3. The name and contact information for two references who are familiar with your work.

Review of applications will begin immediately and continue until the position is filled. This is an initially 1-year position that is extendable to 3 years, conditional on performance. The salary will be set according to the NIH postdoctoral stipend guidelines.

Malong Technologies (码隆科技) is an award-winning AI company focusing on computer vision research on product recognition and related technologies, with applications to retail industry for improving efficiency. Founded in 2014, and now with some of the world’s leading retailers as its customers, Malong is at the forefront of the frictionless shopping revolution by merging the science and real-world applications together, both physically in-store and virtually online. VC-backed by Softbank China, Accenture and other leading investors, Malong is fast-growing, well-funded, with 150+ employees hailing from top R&D orgs such as Microsoft Research, Oxford VGG, Tsinghua University, Chinese Academy of Sciences, etc., and in collaboration with the research community, including Microsoft Research Asia, Google Research, and top university labs. The company is actively hiring research scientists, research engineers and interns, strongly supporting researchers to publish papers in top CV conferences and journals, and looking to make a big impact to both the scientific community and industry. More information about Malong research：https://www.malong.com/en/research.html

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Requirements:
• Track record in academia and/or industry that demonstrates deep learning and computer vision expertise.
• Experience optimizing and benchmarking algorithms.
• Rigorous evaluation:
• Experience working with large-scale data sets on image classification, object detection, video object tracking, model compression, edge computing-related applications or video-related tasks.
• Excellent candidates have publications in top conferences/journals (e.g., CVPR, ICCV, ECCV, NIPS, etc. / TPAMI and IJCV.), notable open source contributions, and/or high ranks in national/international competitions.
• Proficient using Python and/or C++.

The Advanced Center for Electrical and Electronic Engineering (AC3E) is offering postdoctoral fellowships, in any of the following lines of research of the Center: Control and Automation, Renewable Energy and Power Conversion, Robotics, Electrical Systems, Data Analytics and Computational Intelligence, and Biomedical Systems.

The AC3E is part of Universidad Técnica Federico Santa María (USM), one of the most prestigious universities in Chile and Latin America, being ranked #1 in Latin America in Electronic & Electrical Engineering and in Automation & Control, according to the ARWU Shanghai Ranking by Subject 2019. Created in 2014, AC3E groups individual research efforts into multi- and inter-disciplinary teams and focus research towards industry related problems to spark innovation.

Required Documents
1. Cover letter stating your motivation to join AC3E.

2. Curriculum Vitae, including a list of publications.

3. Documentation providing evidence of the possession of a PhD.

4. Contact details of at least two referees (recent supervisor is encouraged), that may be contacted for a reference letter.

Important Information
· The postdoctoral fellowships are initially for two years (evaluated on a yearly basis).

· Required documents should be provided in English in a single PDF file.

· AC3E is located at UTFSM main campus in Valparaiso, Chile.

· Selected candidates are expected to join AC3E no later than December 2020.

· AC3E is committed to gender diversity and inclusion.

· English proficiency accreditation is welcomed.

· Deadline for application submissions is May 31, 2020, but call will remain open until fulfilling positions.

· Applications should be sent to ac3e@usm.cl with subject POSTDOC POSITIONS 2020-1

· Additional information can be found at www.ac3e.usm.cl and at www.usm.cl

· Further enquiries can be addressed to ac3e@usm.cl

Our main business is in the design, development, and sales of LCD main boards, Intelligent Interactive Panel, Medical devices and related Intelligent hardware. CVTE Research is the fundamental and applied research department of CVTE, aiming at supporting the company’s technology novelty and development.******* At CVTE Research, the algorithm is usually combined with the scene, and achievements can often be used in the actual product to directly see the industrial value brought by your results, e.g. Face Recognition, Action Recognition, Computational Photography, Multiple View Geometry, Tomography used in our core products. We offer adequate learning growth opportunities and high-end living welfare.

SRI International creates world-changing solutions to make people safer, healthier, and more productive. SRI’s Center for Vision Technologies (CVT) at Princeton, NJ offers end-to-end vision solutions that translate into real-world applications. Our center is a leader in computer vision solutions for defense, security, robotics, and the training marketplace. Our scientists pioneered real-time, real-world computer vision with the early development of pyramid/wavelet processing that enabled analysis with unprecedented speed and precision. They continue today with a broad array of advances in visual navigation, 3D scene modeling, and object and activity recognition.

The Vision & Robotics Lab in CVT is currently searching for a Computer Scientist to work on projects that aim to create next generation scene understanding and navigation technologies, with applications to autonomous robots and augmented reality. You will also help develop algorithms, software and applications in areas such as Multi-Modal Target Detection or Classification, Visual Localization, and Geo-Search and Registration.

Additional Responsibilities of the position include:
• Ability to provide innovative algorithms with high-quality implementation skills.
• Work effectively in a team to achieve the goals of projects and deliver software and systems to external clients.

Qualifications:
• PhD or Masters in Computer Science, Electrical Engineering, or related fields.
• Experience with implementing Deep Learning algorithms for computer vision or robotics applications is required.
• Experience in at least one of the following areas: Multi-Modal Fusion, Deep Reinforcement Learning, Lifelong Learning, Object Detection and Classification, Semantic Segmentation, Depth Estimation, 3D Mapping and Modeling, and Motion Estimation.
• Experience with real-time systems is considered a plus.

Please email your resume to han-pang.chiu@sri.com if you are interested.

Applications are invited for a fully funded PhD position at the ETS, Montreal, Canada. ETS is the fastest-growing and largest engineering school in Quebec, with an expanding team of highly qualified young researchers in image analysis, computer vision and deep learning, some of the priority areas of the school.

The position is available after the candidate passes ETS application requirements and the candidate will start at her/his convenience (latest at winter 2021). Financial support is available for 4 years. This project will explore learning strategies for unsupervisedly out-of-distribution detection in dense prediction tasks, such as image segmentation. The main application domain of the devised models will be on neonatal brain multi-modal imaging, even though we will investigate their use in other medical applications, as well as in other computer vision problems. The successful candidate will work under the supervision of Prof. Jose Dolz and Prof. Christian Desrosiers. Furthermore, the selected student is expected to work in close collaboration with pediatric clinicians and publish her/his research on top medical image computing and computer vision journals (MedIA, IEEE TMI, IJCV) and conferences (MICCAI, IPMI, CVPR, ECCV,etc).

Prospective applicants should have:
Strong academic record with an excellent M.Sc. degree in computer science, applied mathematics, or electrical/biomedical engineering, preferably with expertise in more than one of the following areas: medical image analysis, machine learning, computer vision, pattern recognition, semi/weakly supervised learning and/or optimization;
Experience with a deep learning framework (preferrably PyTorch, or Tensorflow).
Knowledge of unsupervised models for deep learning such as VAE or related models will be highly regarded.
Publications in a peer-reviewed journal or conference in a related topic are a bonus.

For consideration, please send a CV, a cover letter, names and contact details of two references, transcripts for graduate studies, and a link to a M.Sc. thesis (as well as relevant publications if any) to:

jose.dolz@etsmtl.ca

We’re Cruise, the self-driving ride-hailing service.

We are building the world’s most advanced, all-electric, self-driving cars to safely connect people to the places, things, and experiences they care about. We believe self-driving cars will help save lives, reimagine cities, redefine time in transit, and restore freedom of movement for many.

At Cruise, our engineers have opportunities to grow and develop while learning from leaders at the cutting-edge of their fields. With a culture of internal mobility, there's opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world starting in our cities, join us.

About the role:

This candidate will be fully responsible for aspects of the AV engineering team’s critical-path deliverables, including deployment and optimization of AV software, designing the architecture of our software stack to be able to run as efficiently as possible, and designing systems to monitor for regressions. Our engineers' career development and productivity are critical. The Engineering Manager will lead the growth and organization of the team, mentor engineers and support career development, work with other Engineering Managers and Technical Leads on design decisions and code review, and communicate team status and objectives with senior management across Cruise.

Day-to-day responsibilities include:
-- Lead and grow a team of engineers within the Autonomous Vehicle Engineering organization
-- Ensure high-functioning, high-output team delivers high quality engineering architecture and design along with fast, reliable, testable production code
-- Work with teams across Cruise to foster a collaborative culture of testing, safety, and documentation
-- Serve as an embodiment of our values
-- Invest heavily in recruiting, identifying opportunities for external engagement to improve the Cruise engineering brand
-- Help define, build, and embody Cruise engineering culture and principles
-- Embody Cruise behaviors: Stay Safe, Own It, Stay Focused, Seek Truth, Work Together, Be Humble

You should apply for this role if you have the following qualifications:
-- Prior experience hiring, leading, and growing teams
-- Proven track record of shipping production quality software for mission-critical or complex software products
-- Previous (4+ years) experience as a software engineer delivering results within large-scale, Machine Leaning environments
-- Experience managing a team and initiatives in a mission-critical and fast-paced Machine Learning engineering organization
-- Self motivation and passion to lead your teams, encourage best practices, and constantly improve

Bonus points:
-- Experience working with robotics, and in particular Lidar Point Clouds
-- Experience writing C++ in a production environment
-- Worked on high-speed feedback loops
-- Experience in code optimization or high performance computing
-- Strategic, collaborative and execution-focused

Perks of being a Cruiser

While doing meaningful work is rewarding in itself, we also offer the following programs and benefits to support the extraordinary humans who serve as the backbone in making our self-driving cars go:
-- Competitive salary and benefits including 401(k) Cruise matching program to help you meet your long-term financial goals
-- Medical / dental / vision, AD+D and Life
-- Flexible vacation and company paid holidays
-- Healthy lunch, snacks, dinner
-- Paid parental leave & family expansion stipend
-- Monthly gym stipend
-- Quarterly offsites & working retreats
-- On-site massages
-- State-of-the-art equipment for your work station

Learn more about Life at Cruise through the lens of a Cruiser on our LinkedIn Page.

Cruise LLC provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, Cruise LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Pursuant to applicable laws, we will consider for employment qualified applicants with arrest and conviction records. And if you believe that you will need any type of accommodation, please let us know.

We’re Cruise, the self-driving ride-hailing service.

We are building the world’s most advanced, all-electric, self-driving cars to safely connect people to the places, things, and experiences they care about. We believe self-driving cars will help save lives, reimagine cities, redefine time in transit, and restore freedom of movement for many.

At Cruise, our engineers have opportunities to grow and develop while learning from leaders at the cutting-edge of their fields. With a culture of internal mobility, there's opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world starting in our cities, join us.

About the role:

The ML Engineer is a versatile role in Perception that drives a wide spectrum of applied ML research and development that tackle challenges on urban roads. On the research end, the ML engineer explores, prototypes, validates, and iterates new algorithms; on the development end, the ML engineer optimizes, productionizes, and monitors / refines on-road performance for their models.

You should apply for this role if you have the following qualifications:
-- BS, MS, or higher degree, in CS/CE/EE, or equivalent in industry experience
-- 2+ years of experience in the field of machine learning
-- Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
-- Experience with machine learning and classification
-- Strong programming skills in Python or C++
-- Excellent mathematical reasoning skills, especially with probability
-- Passionate about self driving car technology and its impact on the world

Bonus points!
-- PhD in machine learning or computer science
-- Experience with ROS, OpenCV, Gazebo, or PCL
-- Experience with CUDA
-- Experience in deploying perception algorithms into real world environments

Perks of being a Cruiser

While doing meaningful work is rewarding in itself, we also offer the following programs and benefits to support the extraordinary humans who serve as the backbone in making our self-driving cars go:
-- Competitive salary and benefits including 401(k) Cruise matching program to help you meet your long-term financial goals
-- Medical / dental / vision, AD+D and Life
-- Flexible vacation and company paid holidays
-- Healthy lunch, snacks, dinner
-- Paid parental leave & family expansion stipend
-- Monthly gym stipend
-- Quarterly offsites & working retreats
-- On-site massages
-- State-of-the-art equipment for your work station

Learn more about Life at Cruise through the lens of a Cruiser on our LinkedIn Page.

Cruise LLC provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, Cruise LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Pursuant to applicable laws, we will consider for employment qualified applicants with arrest and conviction records. And if you believe that you will need any type of accommodation, please let us know.

We’re Cruise, the self-driving ride-hailing service.

We are building the world’s most advanced, all-electric, self-driving cars to safely connect people to the places, things, and experiences they care about. We believe self-driving cars will help save lives, reimagine cities, redefine time in transit, and restore freedom of movement for many.

Role & Day-to-day Duties

As an Applied Research Scientist - Computer Vision, you drive the research projects that address the everyday challenges that happen on urban roads, ones that do not have standard solutions available. On a day-to-day basis, you will:
-- Formulate problems
-- Propose, prototype, evaluate, and iterate solutions
-- Support productizing and deploying solutions to robot cars
-- Initiate and lead new projects

You should apply for this role if you have the following qualifications:
-- PhD / MS degree in computer vision, machine learning or a related field with multiple research publications in top conferences or journals; alternatively 5+ years of industry experience solving CV problems which do not have readily-available solutions
-- Expertise in at least one of these specific areas: 2D/3D object detection, semantic / instance segmentation, fine-grained attribute understanding, human pose / gesture recognition, image sequence / semantics understanding, image embedding, visual/LIDAR-based tracking, multi-object tracking, and vision-based behavior prediction
-- Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
-- Strong programming skills in Python and/or C++
-- Strong verbal and written communication skills

Bonus points!
-- PhD in machine learning, computer vision, or robotics vision
-- Experience using deep-learning frameworks, e.g., TensorFlow, PyTorch, etc
-- Experience as a Tech Lead
-- Experience in deploying perception algorithms and models into real-world environments

Perks of being a Cruiser

While doing meaningful work is rewarding in itself, we also offer the following programs and benefits to support the extraordinary humans who serve as the backbone in making our self-driving cars go:
-- Competitive salary and benefits including 401(k) Cruise matching program to help you meet your long-term financial goals
-- Medical / dental / vision, AD+D and Life
-- Flexible vacation and paid company holidays
-- Healthy lunch, snacks, dinner
-- Paid parental leave & family expansion stipend
-- Monthly gym stipend
-- Quarterly offsites & working retreats
-- On-site massages
-- State-of-the-art equipment for your work station

Learn more about Life at Cruise through the lens of a Cruiser on our LinkedIn Page.

Cruise LLC provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, Cruise LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Pursuant to applicable laws, we will consider for employment qualified applicants with arrest and conviction records. And if you believe that you will need any type of accommodation, please let us know.

MACHINE LEARNING ENGINEER

POSITION PURPOSE
• Dedicated to delivering Machine Learning projects within the CHEP Supply Chain.
• Dedicated to driving industry and market exploration into Machine Learning capabilities, assessing, leading feasibility study and applications of how it can be used in CHEP to further enhance our platform inspection capability across all CHEP platforms.

MAJOR / KEY ACCOUNTABILITIES
• Delivery of at least 2 Machine Learning projects per year for CHEP business across all platforms
• Demonstrate an ongoing understanding of Machine Learning technologies in current marketplace and how they can be applied to the CHEP business
• Research and on-board of technology suppliers for machine learning development and those that work in Machine Learning applications.
• Manage and lead Machine Learning development capital initiatives to support the technology development
• Facilitate and lead data gathering efforts and support testing during validation process

MEASURES
• Delivery of Machine Learning projects based on strategy and business need.

SCOPE
• Countries: Global to all CHEP Pallet business units
• Suppliers: Minimum of 2

AUTHORITY / DECISION MAKING
• Deliver value added machine vision projects corporately.
• Plan and deliver capital projects in excess of $100K in company assets.

CHALLENGES
• Utilizing existing hardware and images in addition to new image data gathering techniques to produce innovative image analysis models and algorithms.
• Development of ML approaches that improve the speed and accuracy of image algorithm development for inspection and quality control methods.

KEY CONTACTS
Process Engineering, including existing machine vision development team, Operations and Quality team

External:
External Technology Development and Data Annotation Suppliers

QUALIFICATIONS
• MS or PhD in Computer Science, Engineering, Mathematics or Statistics, with specialization in machine learning
• Proficient in Python or C/C++
• Proficiency in CV/ML libraries (OpenCV, Scikit-learn, Numpy, Pandas)
• Proficiency in Deep Learning frameworks (Tensorflow and Keras)
• Proficiency in implementing deep learning architectures for Image classification, Object detection and Object segmentation
• Demonstrated experience in scientific research related to Computer vision and Deep learning
• Scientific thinking and the ability to invent, implement, and lead technology developments in the field of computer vision and machine learning.
• Solid software development experience.
• Excellent written and spoken communication skills.

EXPERIENCE
• Minimum of 3 years of industrial experience in developing Computer Vision and Deep Learning applications in Python
• Experience in multi-facility, international organizations desired
• Experience in a diverse multi-cultural corporate environment desired
• Successful delivery of machine learning applications to internal or external customers

SKILLS AND KNOWLEDGES
• Strong Python/C++ programming capabilities
• Scientific understanding of Computer Vision algorithms and Deep learning architectures
• Ability to read scientific publications, understand and implement proposed solution
• Project Management
• Leadership: Ability to operate with little supervision and can make presentations at leadership level.
• Self-driven and strong problem-solving skills
• Team work
• Strong analytical skills and process focus

Desirable:
• Publications in top CV conferences and Journals (CVPR, ICCV, ECCV, NIPS, ICML, PAMI, etc.)
• Proficiency in Activity recognition and Object tracking
• 3D image algorithms experience
• Ability to work in a Matrix Organization

LANGUAGES
English
Desirable: Spanish

A multi-disciplinary team at the University of Texas at San Antonio (UTSA) is seeking a highly talented and motivated postdoctoral fellow skilled in machine learning for a multi-year, NNSA-funded position. The collaborative project involves UTSA Departments of Engineering (ECE and ME), Computer Science, and Physics, as well as external partnerships with the University of Las Vegas Nevada, St. Mary’s University, Argonne National Labs, and Los Alamos National Labs.

My client is an independent research lab that has been acquired by a global-leading retail company. They are offering a unique opportunity to work in an entrepreneurial research group, on high-impact indoor reconstruction and photorealistic augmented reality research that will soon be used by hundreds of millions of people across the globe. If knowing that your work is being used by hundreds of millions of people globally isn’t exciting enough, you will also publish novel research, participate in conferences, and collaborate with partners in academia.

In addition to a world-class research team (including PhD and research experience from leading institutes and research groups), my client also boasts a world-class leadership team. Including a CEO who has taken several previous ventures through to IPO and a VP that was previously CTO of a publicly listed eCommerce giant.

I am looking for a 3D reconstruction/3D geometric vision expert, who also has experience across either Structure-from-Motion, Multi-View Stereo, SLAM or Visual Odometry. In addition to being a world-class researcher, you will also possess advanced algorithm development skills and count C++ as your expert language.

If this sounds like you then please do send your resume across to d.bennie@westbourne-partners.com. I will be able to disclose full details over an introductory call.

Vision-CAIR group at KAUST (https://cemse.kaust.edu.sa/vision-cair) is inviting top postdoctoral researchers with experience with computer vision/ AI/ machine learning starting Fall 2020/Spring 2021. Posdoc researchers at the Vision-CAIR group are expected to develop principled understanding and computational approaches in the following research themes: A) learning efficiency /computational creativity (zero/few-shot/long-tail learning of visual tasks. This also includes efficient generative models that are capable of generating and understanding unseen art/fashion/3d design ) B) continual learning (e.g. alleviating catastrophic forgetting in various learning settings including recognition RL), C) vision and language (this overlaps with the former themes as we integrate 2D/3D vision with language in most of the work different these themes). This is a video, about imagination inspired AI where I describe what is Imagination Inspired AI which relates to A and C themes, part of the research we do at Vision-CAIR group among other topics https://www.youtube.com/watch?v=Z1dytXfbFkM. This is also a presentation that covers continual learning (theme: B) methods that we have worked on https://www.dropbox.com/s/sdtbmptu7a2chks/deepcontinuallearning.pdf.

Scope
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* You will be part of the Visual Computing Center at KAUST, according to csranking.org among the top world-wide in Computer Vision & Graphics.
* Excellent total compensation, including accommodation, family health benefits, moving expenses, and a substantial tax-free annual salary. Tuition fees, travel to conferences, and research equipment will be covered.
Mentoring and collaborating with KAUST grad students and visiting students/researchers
* You will have access to world-class compute equipment of close to a thousand GPU.
* Housing Expenses is completely or at least partially covered till a limit.
* KAUST community is diverse with more than 100 nationalities from all over the globe and school is located in the beautiful city of Thuwal on the shores of the red sea.

Requirements
-------------

* a PhD degree with excellent academic credentials
* relevant research skills and experience in computer vision, machine/deep learning, or optimization, demonstrated by high quality publications
* good verbal communication (for daily interaction)
* good written communication (for daily interaction)
* clarity of thought / systematic thinking
* attention to detail
* good professional writing skills (e.g., able to write a reasonable abstract or a paper draft)
* reliability / accountability
* good coding skills

If you are interested, please feel free to send me an email with your CV with your full list of publications (mohamed.elhoseiny@kaust.edu.sa , mohamed.elhoseiny@gmail.com)

Best,

Mohamed Elhoseiny

Assistant Professor of Computer Science, KAUST
Visiting Faculty, Stanford University, Computer Science Department.
http://www.mohamed-elhoseiny.com/ (personal website)
https://cemse.kaust.edu.sa/vision-cair (group website)

PS: References to give you an idea about work & like at KAUST below if interested

Life at KAUST:
https://www.youtube.com/watch?v=qW3iq9JFvHA
https://www.youtube.com/watch?v=upeqaqk_g7s
Work at KAUST,
https://www.facebook.com/watch/?v=677142586133571&external_log_id=7eb3a…

Job purpose
As a Senior Research Engineer at OPPO US Research Center Technology, you will be working on developing video understanding algorithms for mobile/cloud edges.

Duties and responsibilities
• Develop traditional and deep learning algorithms for video understanding on mobile/embedded devices, especially video summarization, event detection, and related topics.
• Partner with software engineering experts to build shipping industrial-strength codes

Required qualifications:
• Ph.D./MS degree in Computer Science, Electrical Engineering, Computer Engineering, or related field
• Track record of developing demanding deep learning algorithms and applications.
• Experience in developing deep learning algorithms for video understanding, event detection, and related topics.
• Experience in digital video processing, feature extraction, feature matching, and motion estimation.
• Familiarity with common deep learning frameworks such as TensorFlow and PyTorch.
• Ability to quickly adapt to new situations, learn new technologies, collaborate and communicate effectively

Preferred qualifications:
• Experience in deploying traditional and/or deep learning algorithms on mobile platforms
• Publication in top-tier conferences such as CVPR/ECCV/ICCV/NeurIPS/ICML/AAAI etc.
• Bilingual in both English and Chinese

More details can be found at https://apply.workable.com/innopeaktech/j/63F50E661F/

Amazon is building an Amazon Go 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
Position Requirements

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

Amazon is building an Amazon Go 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 art 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.

If you have expertise in in Computer Vision, with a Ph.D. and 10+ years of industry or postdoctorate experience, or an MS and 12+ years of industry experience and have:
· the ability to think big and conceive of new ideas and novel solutions;
· the insight to correctly identify those worth exploring;
· the hands-on skills to quickly develop proofs-of-concept;
· the rigor to conduct careful experimental evaluations;
· the discipline to fast-fail when data refutes theory;
· and the fortitude to continue exploring until your solution is found
come join us invent the future and change the world.

This job is not easy, but it’s exciting and a lot of fun. If it sounds like what you’re looking for, we want to talk with you.

BASIC QUALIFICATIONS
· MS or PhD required in computer vision, machine learning, or related discipline, 10-12+ years of professional experience
·
· Depth and breadth in state-of-the-art computer vision and machine learning technologies
·
· Strong record of patents and innovation or publications in 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++, python, and/or matlab

PREFERRED QUALIFICATIONS
· Experience optimizing for short term execution while planning for long term technical capabilities. Ability and willingness to multi-task and learn new technologies quickly.
·
· Experience with designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture).
·
· Understanding of Software Development Life Cycle (SDLC) and project planning/execution skills including estimating and scheduling.

Amazon Device software team is looking for an exceptional, motivated Applied Scientist to implement inference of Deep learning models on the Edge. This is an ambitious undertaking to create a new device category from ground up and is replete with technical challenges. You will take an exciting and challenging role on a team and work with world-class engineers, business leaders, and other talented engineering teams while you design, architect, and code for our Deep learning inference platform for the edge.

You will be an owner for features, including design, development, testing, and operations. You'll also work closely with engineers from other Amazon teams. This is a great opportunity for you to develop new algorithms and to innovate in this space.

This position requires the ability to work on inference scheduling and concurrency on resource constrained computing platforms on the edge, analyze performance of inference implementations, knowledge of GPU/accelerator architecture and pit falls, minimal working knowledge of GPU programming (CUDA or OpenCL).

From a soft skills standpoint, you will collaborate across Amazon to influence and be influenced regarding best practices for machine learning inference. Additionally, you'll need to possess a passion for artificial intelligence and computer vision, with knowledge of latest developments in DL and AI.

Basic Qualification:
• Software development experience in at least two relevant technical areas: high performance computing, machine learning, computer vision, embedded systems, distributed systems
• Relevant experience in building production-scale machine learning or deep learning models and systems
• Experience specifically with deep learning (e.g., CNN, RNN, LSTM)
• Familiar with Python or other programing languages used in ML/DL
• Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe/Caffe2, Keras, PyTorch/Torch and Theano
• Experience in building and productizing Machine Learning models.
• Experience with embedded devices

Preferred Qualification:
• PHd/Master’s or advanced degree in Computer Science, Computer Engineering or related technical discipline.
• Familiar with interdisciplinary developments that involve hardware, software, and algorithm co-design.
• Familiar with end-to-end ML/DL inference optimization approaches, especially on the edge
• Experience turning cutting edge science into mature products
• Experience in programming GPUs
• Experience with multimedia streaming technologies, such as video encoding/decoding/trans-coding, video compression, GStreamer, etc.
• Experience with signal processing or image processing

Title: Two Tenure Track Positions in AI and Data Science at Pusan National University, South Korea

The Department of Computer Science and Engineering at Pusan National University, South Korea, has two tenure-track faculty positions in Artificial Intelligence and Data Science.
We are looking for candidates with outstanding scientific qualifications in the above-mentioned fields of research. Applicants for these positions are expected to have an active research program and a commitment to teaching excellence.

Please apply online via https://ppes.pusan.ac.kr no later than 13 April 2020, 18:00 Korea Standard Time

For more information, please contact:
Dr. Heung-Seok Chae
Email: hschae@pusan.ac.kr

We're looking for a highly motivated, exceptional PhD student to join our lab at the University of Edinburgh. The topic of the PhD will be in video understanding, in particular on learning representations that jointly contain motion and semantic information. The expected period of study is 3.5 years, and will include the opportunity for collaboration with several researchers at Google in Cambridge, MA and Mountain View, CA, USA, including Deqing Sun, Varun Jampani and Ming-Hsuan Yang.

The requirements are:
-- Masters level education is desired
-- Strong programming skills (C++/python, pyTorch/TensorFlow)
-- Previous experience in computer vision research
-- Understanding of current video classification, optical flow estimation and segmentation methods
-- High motivation and independence

To apply, please send your CV, academic transcripts and a research statement to laura.sevilla.lara@gmail.com, with the subject: PhD application on semantics and motion.

Applications will be processed on a rolling basis, so interested applicants are encouraged to apply as soon as possible.

I am looking for a highly motivated Postdoctoral Research Associate in Computer Vision and Computer Graphics to join my team in Bath to work on the future of VR using dynamic scene reconstruction from multi-view video!

The main focus of this job is to research and develop novel algorithms for reconstructing the 3D geometry of the environments from the captured imagery by extending multi-view geometry/photogrammetry techniques to handle dynamic 360° environments. Extending image-based rendering to 360° environments will then enable 6-DoF motion within a photorealistic 360° environment with high visual fidelity, and will result in detailed 360° environments covering all possible viewing directions.

You will join the vibrant Visual Computing group at Bath, which comprises 30 doctoral students, 5 post-doctoral researchers, 2 research software engineers and 11 academics, and presents many opportunities for collaborative work and shared publications.