Job Board

We have a vacancy for a Post Doctoral Researcher position in deep learning in the project “Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction”. The project focuses on applying artificial intelligence and 3D reconstruction to facilitate better pathology detection through wireless capsule endoscopy video stream and thereby simplify the screening and planning task performed by gastroenterologists.

Deadline: 20th May 2021

Latent AI is building edge AI services for the millions of smart IOT devices. We have been recognized as CB Insights AI top 100, IOT World 2020 Startup of the Year, Gartner 2020 Top Innovators in Edge AI, and STL Top 60 Edge Computing Companies to Watch.
 

Working alongside our highly accomplished, deeply technical and close-knit AI/ML team, you will revolutionize AI/ML infrastructures, tools, and applications that are ultra efficient and adaptive. We are looking for someone who is passionate about their work, collaborates effectively on a team, and thrives in a fast-paced, highly fluid environment.
 
Key Qualifications

• Strong software development skills, with proficiency in relevant languages and AI/ML frameworks.
• Technical skills and experience in distributed systems and web services in a production setting.
• Highly motivated, strong communicator, with experience driving projects from inception to production.
• Strong background in AI/ML model optimization (eg. quantization, pruning, NAS).
• Solid domain known (e.g. computer vision, audio, speech, NLP).
• PhD in computer science, electrical engineering degree or related experience desirable.
• Excellent verbal and written communication skills.

The IMAG2 project, recently funded by the IHU Imagine and the Hôpital Necker – Enfants Malades, aims at developing 3D applications for pediatric surgical care. By exploiting patients imaging records, the team recently developed artificial intelligence methods for the representation of the 3D patient anatomy for pediatric abdominal tumors and malformations cases. In the context of an acceleration project aiming at going beyond the proof of concept phase and deploying image analysis tools for a routine clinical usage of patients’ digital twins, IMAG2 is hiring a research engineer for the development and fast prototyping of image segmentation algorithms.

Responsibilities:
Under the supervision of the team leaders, the main objectives will be to:
- Design and develop state-of-the-art and cutting-edge algorithms for medical imaging segmentation;
- Build a system for an accessible usage of 3D modeling techniques by surgeons and clinicians;
- Document, maintain and provide user support in pre- per- and post-op for 3D modeling exploitation.
- Define a strategy for the integration of 3D models in mini-invasive surgical consoles.

Qualifications
- Master or engineering degree in Computer Science, with some knowledge and experience in medical imaging, or PhD;
- Relevant work experience, e.g. full time industry experience or research experience in a lab. Demonstrated experience applying data science methods to real-world data problems;
- Demonstrated expertise in computer vision, medical image analysis, machine learning, deep learning. Demonstrated ability developing and troubleshooting state-of-the-art computer vision algorithms;
- Strong programming skills; Proven knowledge of algorithm design using Python in industry or academia. C# and/or C++ knowledge preferred;
- Experience using Python and ML/DL frameworks (e.g. TensorFlow, PyTorch, scikit-learn) demonstrated via previous work experience, contributions to open source projects, competitions;
- Ability to think critically and adapt in a fast-paced environment.

Nice to have
- Knowledge of C/C++, Unity3D and other languages is a strong plus;
- Proficiency with Git workflow within a collaborative environment, development with best coding practices. Experience in deploying software to production using Docker;
- Strong learning capacity, adaptation and communication skills. Passionate and curious about medical applications for surgical care.

The application, comprising of a motivation letter, a summary of previous achievements, and a curriculum vitae, must be sent, in pdf format, to:
sabine.sarnacki@aphp.fr isabelle.bloch@sorbonne-universite.fr alessandro.delmonte@institutimagine.org

Dr. Aytekin Oto Professor and Chair of Radiology, and Director of the Grossman Center for Prostate Cancer Imaging, Dr. Michael Maire (Assistant Professor in Computer Science) and Dr. Aritrick Chatterjee (Research Assistant Professor of Radiology) have an opening for a postdoctoral scholar who will focus on developing computer vision tools for improving prostate cancer diagnosis using Magnetic Resonance Imaging (MRI). The research focuses on development of new image analysis methods using deep neural networks, curating datasets, and training and validating analysis systems. Join us in our commitment to improve the quality of care for patients with an aim to take novel research technology from the bench side to the beside. You will work with a multidisciplinary team of talented radiologists, surgeons, pathologists, oncologists, medical physicists, computer scientists, data scientists, statisticians, engineers, and researchers to leverage unique healthcare data.

High performance computing through UChicago’s Research computing center is available to the investigators. MRI instrumentation available to the investigators consists of 2 Philips 3T (Achieva and Ingenia) whole-body MRI systems, and a Bruker 9.4T, 30 cm bore system with multi-nuclear capability. In addition, 5 clinical scanners including a multi-transmit 3T scanner are available for research on a part-time basis.

Applicants must have a strong understanding of machine learning, with particular expertise in deep neural networks and computer vision. Programming skills in MATLAB, Java, C, Python, and familiarity with PyTorch and/or TensorFlow are desired. Strong analytical and problem-solving skills are needed. This position requires a Ph.D. in Computer Science, Physics, Medical Physics, Electrical Engineering, or Bioengineering. Experience with computer vision or medical imaging is required. Experience with MR images is desirable but not required.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or status as an individual with disability. The University of Chicago is an Affirmative Action / Equal Opportunity / Disabled / Veterans Employer.

If you have questions, or want to apply, please send a curriculum vita to either Dr. Michael Maire (mmaire@uchicago.edu) or Dr. Aritrick Chatterjee (aritrick@uchicago.edu).

Description
The Research Scientist role sits within our internal R&D Team, who work on a number of exciting projects in the field of computer vision, deep learning and face biometrics. Some of the work the team is doing includes, developing our state-of-the-art age estimation AI model. You could find more information regarding Yoti Age Scan here

Requirements
Essential skills & experience

• PhD in the areas of computer vision, machine learning or image processing.
• Strong knowledge of DNN theory and practical experience of applying DNN in computer vision.
• Strong knowledge of deep learning frameworks such as Tensorflow/Theano/PyTorch etc.
• Good Python coding skills.
• Experience working with Git inside a team
• Ability to write clean and well maintained code.
• Attention to detail.
• Strong analytical and problem solving skills with the capability of implementing academic papers into functional prototypes.

Desirable skills & experience

• First author publications in top tier journals or conferences (e.g. TPAMI, IJCV, ICCV, ECCV, CVPR).
• Experience working with applications in facial data analysis (e.g. face recognition/verification, pose estimation, face alignment, face behaviour analysis).

Benefits

What’s in it for you?

• Private Medical Insurance
• Life Insurance
• Pension
• 25 days holiday (plus bank holidays)
• Yoti Life (internal communication platform and access to great discounts and vouchers)
• 5 'Selfie' Days - for your own personal development; volunteering, charity events, etc
• Learning opportunities (LinkedIn Learning, conferences, events, courses )
• Team Events
• Flexible working
• Yoti Links

Deadline in 1 week:
We are looking for good candidates for the position as Assistant Professor (tenure track) in Computer Vision with focus on Machine Learning.

Application deadline May 11.

Note that Swedish universities leave all IPR with the employee, which gives unique opportunities for entrepreneurship!

The Visual Computing Group (https://vcg.seas.harvard.edu/) in the School of Engineering and Applied Sciences (SEAS) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning. We are working on a wide range of exciting research areas, including image enhancement, video understanding, visual question answering, and biomedical image analysis. In addition to working closely with graduate students and collaborators on research projects, the candidate is expected to actively participate in writing grant proposals.

Basic Qualifications: Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning.

Additional Qualifications: Candidates should have a substantial publication history in top computer vision/machine learning venues and good teamwork and communication skills.

Special Instructions: A complete application must include a cover letter, curriculum vitae, and three letters of reference.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy, and pregnancy-related conditions or any other characteristic protected by law.

Wayve is building artificial intelligence capable of complex driving using end-to-end deep learning; one which is data-driven at every layer and can scale across diverse urban environments. We learn to drive with computer vision by both observing human driving, and by using reinforcement learning.

Some of the things you might be working on are domain adaptation, world modelling, model-based reinforcement learning, multitask learning or unsupervised learning.

Where you’ll have an impact:
You'll be able to attack one of the world’s hardest problems in new ways. You'll design and implement algorithms using large datasets and real-world robots. You have the potential to contribute to academic publications for top-tier conferences like CVPR, ICRA, ICLR etc. working in a world class team to achieve this. 

What you’ll bring:
- Thorough knowledge of and 3+ years applied experience in computer vision, deep learning, reinforcement learning or robotics. 
- Ability to deliver high quality code and familiarity with deep learning frameworks (Python and Pytorch preferred) 
- Industrial and / or academic experience in deep learning, software engineering, automotive or robotics
- Ability to understand, author and critique cutting-edge research papers
- Familiarity with code-reviewing, C++, Linux, Git is a plus
- PhD in a relevant area and / or track records of delivering value through Machine Learning are a big plus

Wayve is built on people and their differences gives us strength. We are proud to be an equal opportunities workplace and encourage people from all walks of life to join our journey, growing and expanding with us. We don't just embrace diversity, we encourage it.

Kinetica Labs, Inc. is an exciting Ann Arbor-based early-stage technology company that has developed a software application to assess ergonomic injury risks in the workplace. We leverage computer vision and machine learning to analyze videos of workers performing tasks in an industrial setting. The video can be taken with an ordinary camera, and the worker does not have to wear markers or sensors.

We launched a new product suite in July 2020 that is available for the Web, Android and iOS and is integrated into commonly used ergonomic assessment tools. Additionally, our technology is integrated into an industry-leading ergonomic management software platform.

Kinetica Labs has enjoyed tremendous success, and we are looking for a talented Computer Vision Scientist to help us extend the impact our technology can have on workplace safety. You will be working with award-winning leaders in the industry: Dr. SangHyun Lee and Dr. Meiyin Liu. Visit us at www.kineticalabs.com.

Responsibilities / Role
• Design and implement disruptive human motion analysis algorithms to solve complex use cases in traditional industrial scenarios
• Iterate existing and developed algorithms by error cases review and analysis
• Test, evaluate and refine the complete pipelines regarding accuracy and efficiency
• Collaborate with end-user and product owners to understand, break down and prioritize research tasks
Requirements
• PhD specializing in Computer Vision. REQUIRED
• Strong academic and research background, with experience contributing to research projects via literature review, framework development, etc. REQUIRED
• Experience with designing, training, fine-tuning, and modifying CV models using popular deep learning frameworks (PyTorch, Tensorflow, Caffe2)
• Solid understanding and experience with visual recognition tasks, preferably human pose estimation; others like gesture recognition, 3D reconstruction and action recognition would also apply
• Solid foundation in 2D & 3D geometry, linear algebra, calculus and machine learning algorithms
• Strong problem-solving and communication skills
Other Beneficial Experience
• Publication record in top computer vision-related conferences (e.g., CVPR)
• Proven knowledge in specific domains within machine learning such as few-shot earning, transfer learning and self-supervised learning
• Experience in photogrammetry and/or data science

If interested, send resume and cover letter to hr@kineticalabs.com

Motion2AI provides warehouse fleet orchestration services for forklifts, carts, and robots. We're looking for engineers who can bring efficiency and safety to warehouse fleet by developing intelligent and scalable softwares in perception, localization, mapping, and routing. As a machine learning engineer/researcher, you are expected to process massive sensor and logistics data from warehouse mobilities and have opportunities to work closely with product team with our fast-paced business grow.

============================
Minimum qualifications:
============================
- Master or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
- Experience with one or more of the following : computer vision, slam, routing, or other machine learning projects
- Familiar with the state-of-the-art methods and fast prototyping
- Experience with one or more of the following : Tensorflow, PyTorch, MXNet, Caffe2

============================
Preferred qualifications
============================
- Experience in embedded system development
- Experience in distributed computing

============================
Perks
============================
- Highly competitive salary
- Competitive medical / dental / vision coverages
- Free lunch & snack
- Stock option

Applications are invited for a funded PhD position in Efficient Deep Learning on embedded devices. The candidate will work under the supervision of Prof. Marco Peedersoli at the Laboratory of imaging, vision and artificial intelligence (LIVIA), ETS Montreal (University of Québec). The position is fully-funded and available as of September 2021 for a duration of 4 years.

I am looking for a highly motivated doctoral student to join my lab. He will perform cutting-edge research in efficient machine learning algorithms, with a particular focus on deep learning architectures (e.g, convolutional and recurrent neural network, transformer etc.), adaptive and weakly-supervised learning.

Prospective applicants should have:
• strong academic record with an excellent MSc degree in computer science, applied
mathematics, or electrical engineering, preferably with expertise in one or more of
the following areas: machine learning, image analysis, artificial intelligence, computer vision;
• a good mathematical background and familiarity with machine learning and probabilistic models;
• good programming skills in Python as well as knowledge of deep learning frameworks (e.g. pytorch).
• Excellent written and verbal communication skills
• Previous publications would be an asset

Application process:
For consideration, please send your CV, research statement, names
and contact details of two references, transcripts, a link to a MSc thesis, as well as relevant publications to: marco.pedersoli@etsmtl.ca.

One position is available for a postdoctoral fellow with computer science, electrical engineering, biomedical engineering, or medical physics degree with strong background in developing computer vision and machine learning techniques in the Department of Medical Physics. This is an excellent opportunity for a computational scientist interested in advancing their medical image analysis skills while working on real problems to treat cancer with a multi-disciplinary group of computer scientists, MRI physicists, and clinicians treating cancer patients.

The position is for two years and will focus on the development of deep learning methods on the new magnetic resonance (MR) guided linear accelerator system used for real-time imaging and treatment of cancers. In this project, the candidate will develop advanced deep learning methods to track tumors and organs to facilitate adaptation of treatment plans for prostate cancer treatments.

Ideal candidates must have strong programming background (Python) and working knowledge of deep learning libraries such as Tensorflow/Pytorch and expertise in implementing these methods for image analysis. Prior expertise in developing and applying deep learning/computer vision methods is required. Knowledge of image-based tracking methods is highly desirable. Knowledge and experience with estimation techniques such as Kalman and Particle filtering methods is a plus. Candidates are expected to have excellent written and oral communication skills for writing manuscripts and presenting to multi-disciplinary audiences. Successful execution of the project is expected to result in high impact technical and clinical publications, and prototype development for MR guided adaptive cancer treatment.

Memorial Sloan Kettering Cancer Center is located on the Upper East Side of Manhattan, and is recognized as a world leader in clinical cancer care and research. Interested candidates should send a resume and list of three references via e-mail to:
Harini Veeraraghavan, Ph.D.
Assistant attending computer scientist
Department of Medical Physics
Memorial Sloan Kettering Cancer Center
1275 York Ave.
New York, NY 10065
e-mail: veerarah at mskcc.org

Description
Our goal at Quantivly is to empower Radiology to make data-driven decisions.
Today, MRI scanners in the US are idle, not taking images more than 60% of the day, wasting $10B+ in potential revenues annually and delaying patient care. Unfortunately, improving the process of acquiring medical images is widely overlooked, largely because the data needed to drive productivity is simply inaccessible. Quantivly, a spin-off from Boston Children’s Hospital, has developed a platform that analyzes MRI images metadata on-the-fly to unlock operational data and radically transform the way MRI operation is managed.
We are looking for a AI developer who can help take our startup to the next level. You will be the lead AI developer. You will be expected to take end-to-end ownership of key ML/AI features on our roadmap and execute to deliver solutions that revolutionize imaging operations in radiology and delight customers.
We are passionate about making a difference in health care by bringing data science tools to Radiology. This is your chance to build your career at a company that is at the forefront of changing its industry. We need brains, ambition, and passion to continue driving this change — join Quantivly!

Compensation
Salary: $100-120k, Equity: 0.25%-1.0%

Education
Ph.D. in computer science or similar practical experience in an industrial or research setting.

Responsibilities
• Assist with data collection efforts, de-identification and data lake construction.
• Design, implement and evaluate machine learning and deep learning solutions on 3-D/4-D image data and/or image metadata
• Conduct machine learning tests and experiments, understand results to refine models and/or pre-processing to optimize performance
• Deploy solutions for production on the Quantivly platform
• Publish and disseminate methods and findings
• Keep up-to-date with the latest advancements in ML/AI

Required
• 3+ years’ experience designing, developing, and implementing ML / AI algorithms
• Strong programming skills in python, including fundamental software engineering principles and machine learning design patterns.
• Experience with at least one Deep Learning framework such as TensorFlow, PyTorch, or Keras, or ML framework such as Scikit-learn
• Demonstrated understanding in AI/ML algorithms, learning models, graphical models, overfitting, regularization, etc.
• Experience in building ML pipelines for processing large datasets.
• Understanding of state-of-the-art approaches to computer vision
• Experience in working with medical images (MRI/CT/X-Ray, etc…)
• Refereed publications in premiere computer vision and/or bioinformatics venues.
• Deep knowledge of math (linear algebra), probability, statistics and algorithms
• Outstanding analytical and problem-solving skills
• Work well with in a fast moving, small team environment

Bonus qualifications
• Knowledge of DICOM and HL7 standards
• Solid experience in Linux/Unix, shell scripting, git, docker.
• Knowledge of GANs and ML techniques for generating synthetic data, NLP, ...
• Knowledge of SQL. Experience with SQL server-side machine learning (eg PL/Python)
• Experience with the MONAI framework

Who you are
• You are highly motivated and have a passion for creating and supporting great products.
• You're curious, love to learn and to dig into new technologies, and can pick them up quickly
• You're a go-getter and seek ownership of projects with the demonstrated ability to deliver results.
• You thrive on collaboration, working side by side with people of all backgrounds and disciplines, and you have very strong verbal and written communication skills.
• You are great at solving problems, debugging, troubleshooting, designing, and implementing solutions to complex technical issues.
• You strive to excel, innovate and take pride in your work

Our tech stack
• Python3, Java, C/C++, Docker
• Postgres 13, GraphQL, Flyway, Redis, Elasticsearch,
• Slurm, dcm4che, Websocket, WAMP/crossbar, ...

Working locations & additional information
• Must be authorized to work in the United States
• Somerville, MA (remote option)
• Travel: Infrequent
• Employment Status: Full-Time Employee with benefits (Medical, Dental, Vision)

Equal Opportunity/Affirmative Action Statement
At Quantivly we celebrate difference. We are committed to ensuring an environment of mutual respect for every employee and proud to be an equal employment opportunity employer who does not discriminate against any person because of race, color, creed, religion, gender, gender identity, gender expression, national origin, citizenship, age, sex, sexual orientation, pregnancy, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. We believe a diverse and inclusive workplace is central to our success and actively seek to recruit, develop and retain the most talented people from a diverse pool of candidates.

Tallinn University seeks to hire two Research Fellows in Cultural Data Analytics, particularly in (1) Audiovisual Machine Learning, and (2) Cultural Dynamics, to work on ambitious, high-impact research at the CUDAN ERA Chair (chair holder Prof. Dr. Maximilian Schich). Start of the employment contract: 01.07.- 01.09.2021, duration of the contract is up to 31.12.2023. Deadline of submitting the application documents is 31st May, 2021.

One of the positions is in the Baltic Film, Media, and Arts School and the other is in the School of Digital Technologies.
General description of the field: Cultural Data Analytics
Successful candidates will join the CUDAN ERA Chair project in Cultural Data Analytics, which is funded by the European Commission in the Horizon 2020 research and innovation program with 2.5 million Euro (Grant no. 810961). The selected fellows will complement a highly multidisciplinary research group, currently consisting of 4 faculty, 4 senior fellows, and 5 PhD Students. Current expertise includes art history, algorithmic curation, cultural history, cultural semiotics, computational linguistics, computer science, computational social science, creative industry studies, digital education, evolutionary economics, generative art, machine learning, media innovation, media policy, and network science. Bridging three university schools, the research group collaborates with high-profile academic partners that are spread across the globe, while cooperating with several public and private stakeholders. These include libraries, museums, media institutions, and open data providers. The research group activity forms the core of the CUDAN Open Lab, performing research while simultaneously functioning as a forum for intellectual exchange and meaningful academic mixing. Together, our aim is to systematically deepen our understanding of cultural interaction and dynamics from deep history to the present. We harness a rare high-risk/high-gain opportunity of combining cutting-edge computation, quantification, qualitative inquiry, critical and creative aesthetics, in close collaboration and co-authorship. Our core mission is to produce and publish exemplary proofs of concepts in high-impact papers and to act as an incubator for follow-up projects and applications, while cross-fertilizing knowledge and methods across disciplines and with external stakeholders. Successful candidates will be provided with data-science-grade laptops, conference travel funds, and opportunities to collaborate with international partners. The lab environment provides ergonomic co-working spaces with individual adjustable desks and secondary screens, large blackboards, state-of-the-art projection, video conferencing and HPC equipment. The working language of the CUDAN research group is English. For more information regarding our mission, group members, and ongoing events see https://cudan.tlu.ee.

Requirements for the candidate (incl professional experience)

The candidate must fulfil the requirements for the position of a research fellow stipulated in Annex 5 and respectively in Annex 9 and 10 to the Employment Relations Rules.

• A doctoral degree in a computational or quantitative area, such as computer science, information science, network science, physics, or mathematics, while demonstrating understanding or meaningful interest in socio-cultural phenomena. Alternatively, a PhD in a cultural research area, such as art history, computational linguistics, digital humanities, with a strong track record in computation or quantification.
• Demonstrated ability to produce (potentially) high-impact research and work with large-scale (socio-cultural) data, including corpora of visual and audiovisual materials, or capturing the structure and dynamics of multidimensional spaces of (cultural) meaning.
• Either strong skills in audiovisual machine learning, in at least one of the following areas: Computer vision, deep learning, or pattern recognition; image segmentation & feature classification regarding objects, scenes, faces, poses, textures, etc. (aka iconography); 2vec or embed-everything approaches; latent-space cartography; multidimensional data analysis & visualization (manifold learning, diffusion maps, etc.); or another meaningful state-of-the-art application of machine learning that can be useful to make sense of large-scale visual or audiovisual data or strong quantitative and computational skills, in at least one of the following areas: Data science, information science, or computational social science; socio-physics or reality mining; complexity science or network science; multilayer and temporal network analysis; higher-order graphs or topological data analysis; mathematical modeling (including ecology or socio-cultural dynamics); matrix cluster analysis (as found in network neuroscience, DNA microarray-analysis, or systems biology); multidimensional flow analysis or fluid dynamics; or another meaningful state-of-the-art application of computation and quantification that can be useful for making sense of cultural dynamics.

Desired skills

• Experience in the acquisition and processing of large (cultural) datasets, including familiarity with data dumps, APIs, scraping, streaming, knowledge graph queries, and data integration.
• Advanced programming skills in at least one widely used language (e.g. Python, R, Julia, Processing, Javascript/D3, C++, or equivalent), including proficiency with libraries for data manipulation and analysis, machine learning, etc.
• Strong visual literacy and data visualization skills. Ability to read and produce high-quality scientific figures as found in multidisciplinary journals. Designing dynamic visualizations and interactive experiences is a plus.
• Preference will be for candidates who possess multidisciplinary competence and the necessary open-mindedness to bridge the so-called two worlds, where understanding implies qualification of specific complications and quantification of emerging complexity.
  The CUDAN ERA Chair project and Tallinn University is committed to gender, age, cultural, geographic, and disciplinary diversity.

Job responsibilities

In accordance with Annexes 1 and 5 to the Employment Relations Rules.

• Performing research in co-authorship with CUDAN research group members and external partners under the supervision of the CUDAN ERA Chair holder, with typical activities including research design, data acquisition, data preparation, data analysis, visualization, and the composition of figures and manuscripts.
• Publishing and assessing research results, ideally aiming for high-profile multidisciplinary journals and conferences.
• Participation in CUDAN Open Lab activities, including discussions with students, faculty, and external stakeholders, mutually building and sharing expertise, developing novel research ideas, and supporting the application for additional funding.
• Co-supervising and teaching CUDAN students.
• Openness and readiness to engage in multidisciplinary translation, within a diverse and international research group.

Language skills: English C1, Estonian is not required; if staying longer in Estonia, the candidate would need to acquire Estonian as a working language within 3 years in order to be able to participate in administrative tasks.

Start of the employment contract: 01.07.- 01.09.2021, duration of the contract is up to 31.12.2023. The exact date of start of the employment and other terms of the employment contract will be agreed with the winner of the competition.
Load: 1,0. The duties are approximately divided in (1) research (90%), (2) teaching (5%) and (3) internal and external service (5%).
Salary: to be agreed, but internationally competitive.
Location: Tallinn, Estonia.

The candidates are expected to submit the required applications documents (preferably in PDF-format) by May 31st, 2021 (incl) to Personnel Office of Tallinn University (Narva mnt 25, room T-218, 10120, Tallinn, or digitally signed to konkurss@tlu.ee) with the title “Academic competition”:

• a signed application-motivation letter addressed to the Rector, in which the candidate provides an overview of the aims that they will seek to realise in developing the field of research and teaching for the following five years of employment, incl. a brief statement of research experience and interests;
• the CV, incl. a list of research publications;
• copies of a document certifying the qualification required from the position, and its annexes;
• a link to or, if that is impossible, a file with the full text of one representative research publication;
• two letters of recommendation sent separately by the writers to konkurss@tlu.ee by 31st May 2021.

Application documents shall be submitted in English.
Time-schedule of the competition and the selection procedure
Additional information: Please refer your administrative questions to konkurss@tlu.ee and questions on content to CUDAN ERA chair holder Maximilian Schich, mxs@tlu.ee & CUDAN project coordinator Mariliis Niinemägi, mariliis.niinemagi@tlu.ee.

Redefine mobile photography with AI+Sensor！
We are SenseBrain!
http://www.sensebrain.ai

We work closely with major image sensor manufacturers and smartphone makers on AI camera system integration. Through our R&D capabilities that span customized ISP designs, 3D imaging, and system-level joint optics-electronics-algorithm optimization, our computational photography solutions can allow users to capture professional-grade photos using a smartphone easily.

Our parent company, SenseTime, as one of the world’s leading AI companies, has served over 700 well-known companies, including Honda, Qualcomm, China Mobile, UnionPay, Huawei, Xiaomi, OPPO, Vivo, and Weibo.

We are looking for extraordinary Engineers to work on the image/video quality enhancement on mobile phones. The ideal candidates should have hands-on experience with camera designs, ISPs and software algorithms, image processing, computer vision and computational photography. Experiences in researching implementing and analyzing complex multi-system problems, and deep data-based analysis will be greatly appreciated. Candidates should be able to create prototype solutions using machine learning tools and evaluate trade-offs. Background in optics is a plus.

What you will achieve:
● Developing cutting-edge AI algorithms on mobile devices to enhance camera image quality that will impact millions of smartphone users.
● Becoming part of the whole eco-system of the AI technologies, including deep learning network training, model compression, model acceleration, and model deployment on the edge.
● R&D of the latest computational photography technologies.
● Collaborating with top-notch academia (MIT, Stanford) to lead the frontier of deep learning in computer vision.

Responsibility:
● Working with researchers to design, develop and implement innovative algorithms and solutions for new challenges in 3D computer vision, deep learning, and computational photography/imaging.
● Building prototypes and demos on mobile platforms with innovative technical solutions.
●Jointly optimizing and benchmark the algorithms according to product requirements.
●Publishing and presenting original research at conferences and events.

Requirements:
● MS or Ph.D. in CS/EE/Optics or related areas.
● Solid knowledge in 3D computer vision, deep learning, or computational photography/imaging.
● Strong programming skills in Python and/or C++.
● Experiences of mainstream machine learning frameworks (e.g., PyTorch, TensorFlow, Caffe) and common computer vision libraries (e.g., OpenCV).
● Strong communication and interpersonal skills.
● Publication in top-tier conferences and journals, such as CVPR, ICCV, ICCP, or NIPS preferred.

How to Apply:
● Submit your cover letter and resume at https://www.sensebrain.ai/#openings

Redefine mobile photography with AI+Sensor！
We are SenseBrain!
http://www.sensebrain.ai

We work closely with major image sensor manufacturers and smartphone makers on AI camera system integration. Through our R&D capabilities that span customized ISP designs, 3D imaging, and system-level joint optics-electronics-algorithm optimization, our computational photography solutions can allow users to capture professional-grade photos using a smartphone easily.

Our parent company, SenseTime, as one of the world’s leading AI companies, has served over 700 well-known companies, including Honda, Qualcomm, China Mobile, UnionPay, Huawei, Xiaomi, OPPO, Vivo, and Weibo.

We are looking for motivated interns to work on the image/video quality enhancement on mobile phones. You will work on core camera/ISP algorithm development and deployment. You will also have the opportunity to work with the world's top-tier mobile phone OEMs to define the next generation of photo/video capture experience.

What you will achieve:
● Crafting cutting-edge AI-powered computational photography algorithms on mobile devices to unleash the creativity of millions of smartphone photographers.
● Rooting yourself in the core ecosystem of the AI technologies, including deep learning model development, compression, acceleration, and deployment on the edge.
● Collaborating with top-notch researchers in academia and industry to lead the frontier of deep learning-powered computational photography
● Publishing your original research and present the work at conferences and events.

Responsibility:
● Working with scientists and engineers to design and develop innovative algorithms and solutions for new challenges in 3D computer vision, deep learning, and computational photography/imaging.
● Assisting scientists and engineers in building physical proof-of-concept imaging systems or demos on mobile platforms.

Requirements:
● Currently enrolled B.S./M.S./Ph.D. student in CS/EE/Optics or related areas.
● Fluent in C++/Python.
● Familiar with mainstream deep learning framework (e.g., PyTorch, Caffe, or TensorFlow) and conventional computer vision framework (e.g., OpenCV).
● Strong teamwork and interpersonal skills.

How to Apply:
● Submit your cover letter and resume at https://www.sensebrain.ai/#openings

Redefine mobile photography with AI+Sensor！
We are SenseBrain!
http://www.sensebrain.ai

We work closely with major image sensor manufacturers and smartphone makers on AI camera system integration. Through our R&D capabilities that span customized ISP designs, 3D imaging, and system-level joint optics-electronics-algorithm optimization, our computational photography solutions can allow users to capture professional-grade photos using a smartphone easily.

Our parent company, SenseTime, as one of the world’s leading AI companies, has served over 700 well-known companies, including Honda, Qualcomm, China Mobile, UnionPay, Huawei, Xiaomi, OPPO, Vivo, and Weibo.

We are looking for extraordinary scientists to work on image/video quality enhancement on mobile phones. You will work on core camera/ISP algorithm development and deployment. You will also have the opportunity to work with top-tier mobile phone makers worldwide to define the next-generation of photo/video capture experience.

The team is dynamic, fast-paced, and requires a self-motivated attitude. All levels are available.

What you will achieve:
● Crafting cutting-edge AI-powered computational photography algorithms on mobile devices to unleash the creativity of millions of smartphone photographers.
● Rooting yourself in the core ecosystem of AI technologies, including deep learning model development, compression, acceleration, and deployment on the edge.
● Collaborating with top-notch researchers in academia and industry to lead the frontier of deep learning-powered computational photography .
● Publishing your original research and present the work at conferences and events.

Responsibility:
● Designing and develop innovative algorithms and solutions for new challenges in 3D computer vision, deep learning, and computational photography/imaging.
● Staying up to date with the latest research frontier in 3D deep learning, computer vision, and computational photography/imaging.
● Building physical proof-of-concept imaging system or demos on mobile platforms.
● Transferring your new technologies to product teams by jointly optimizing the algorithms according to product requirements.

Requirements:
● Ph.D. in CS/EE/Optics or related areas.
● 5+ years of research experience in computational photography, image processing, computer vision, and/or deep learning.
● Solid publication records on top-tier computer vision and optics venues, such as CVPR, ICCP, SIGGRAPH, TPAMI, and Optics Express.
● Fluent in C++/Python.
● Familiar with mainstream deep learning framework (e.g., PyTorch, Caffe, or TensorFlow) and conventional computer vision framework (e.g., OpenCV).
● Strong teamwork and interpersonal skills.

How to Apply:
● Submit your cover letter and resume at https://www.sensebrain.ai/#openings

Context

The UCL Department of Computer Science is the leading computer science research department in the UK, ranked #1 in the most recent Research Excellence Framework. It carries out research, undergraduate, and postgraduate teaching across all areas of theoretical and applied computer science. Together with our partners at the Great Ormond Street Hospital (GOSH) we are building the next generation of Artificial Intelligence (AI) assisted optical microscopy which will accelerate haematology research, clinical diagnosis and treatment selection. Analysis of blood films under a light microscope at high magnification is essential to diagnosis, especially in assessing leukemias and their sub types. The level of detail needed to distinguish cell features specific to such blood pathologies obtained with high magnification objective lenses comes at the expense of a limited Field of View (FoV) and a limited Depth of Focus (DOF). Specimens mostly present agglomerations of overlapping cells and thin areas with distorted cells. As a result, only specific regions of the film, containing spatially separated blood cells at a suitable number density, are useful for morphological and textural analysis. Finding these clinically relevant regions requires visual inspection and manual operation of both the microscope x-y stage and focus, a process which is time consuming and requires the availability of a trained microscopist.

Main purpose of the job

The candidate will develop a robust and generalizable state-of-the art Deep Reinforcement Learning (DRL) approach to automatically control a motorised microscope system in a way which mimics the cognitive steps of a human microscopist. More precisely, they will build a DRL able to automatically position the optimal regions of the samples under the objective, control the focus of the microscope and trigger stack acquisition. This will enable high throughput imaging essential to expedite patient diagnosis and treatment selection. The post-holder will have the opportunity to use our next generation programable microscopy platform for data acquisition and validation. The final objective is to build an “online” DRL prototype embedded in the control of the motorized stage of the digital microscope. The research fellow will equally interact with our clinical partners to validate the approach and UCL Business to explore patenting and commercialization opportunities. The position is available for one year in a first instance.

If you have any queries regarding the vacancy or the application process, please contact Professor Delmiro Fernandez-Reyes (delmiro.fernandez-reyes@ucl.ac.uk) or Dr. Petru Manescu (p.manescu@ucl.ac.uk).

• We are a dynamic and exciting research group in the Department of Radiology at the University of Wisconsin. We are looking for a post doctoral research associate who is interested in medical imaging applications, focused on image reconstruction methods in medical images (MRI, PET) using deep learning or other advanced reconstruction methods. Additional interests include motion-robust reconstruction approaches.
• Expertise and experience in medical imaging reconstruction is required. Significant interest or prior expertise in machine and deep learning is requested.
• Funding is available for up to two years.
• Learn more about our research group here: https://go.wisc.edu/mimrtl
• Madison, Wisconsin is a great place to work, live, and play: https://www.wisc.edu/about/

Kitware is seeking high caliber 3D vision researchers to join our team. We work on exciting problems at the intersection of 3D vision, remote sensing, autonomous vehicles and state of the art deep learning methods. We build practical, working 3D vision systems based on the latest academic research.

Job Description

Primary responsibilities are research and development of state-of-the-art algorithms for 3D reconstruction from imagery and supporting development of open source software packages to make those tools widely accessible. Current 3D projects have an emphasis on aerial and satellite imagery sources, but capabilities are often adapted to other problem domains. There are also opportunities to combine 3D vision with broader computer vision topics including content-based indexing and retrieval, object detection and tracking, video event and activity recognition, functional object recognition, social media understanding, video compression, and super resolution.

We partner with premier government R&D agencies such as DARPA, IARPA, and AFRL including prime contracts, SBIRs and STTRs, as well as commercial efforts with leading technology companies. By joining our team, you will be contributing your expertise to develop robust solutions for real-world problems, in the areas of 3D reconstruction, object-based change detection, feature detection, and motion pattern learning and anomaly detection among others. Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Researchers and developers also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV); and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities in the past five years and maintains active involvement in major vision conferences.

*Required Qualifications*
-PhD in Computer Science or related field
-Experience using multiview geometry to develop algorithms for building 3D point clouds or meshes from imagery or video
-Experience with deep learning methods is desirable, but not required
-Proficiency in C++ and/or Python and experienced in good software development practices
-Experience with geospatial coordinates systems and transformation is desirable, but not required
-Strong publication record in top-tier research publications and conferences
-Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
-Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
-Candidates should include a detailed list of publications as part of their resume/CV
-Due to contractual restrictions, only candidates that are US Persons (citizens, permanent residents, asylees or refugees) will be considered for this position.

About Us

Iris Automation Inc is building an AI-based air safety system that helps unpiloted aircraft see the world how pilots do. By ensuring that autonomous aircraft are able to fly safely when other systems fail, the company's technology is the critical missing piece that enables the widespread use of commercial drones, urban air mobility and more. Iris Automation is based in San Francisco and is led by a team with experience at NASA, Boeing, and Nvidia, including PhDs in computer vision. The company has secured 2 patents with 3 additional applications in review, and was recognized by the Association of Unmanned Vehicle Systems International as the most important innovator for its 2020 XCELLENCE award.

The Role:

As a Computer Vision Engineer you will be at the center of our core mission, building state of the art technologies. You will be researching new and innovative 3D computer vision solutions to perception problems in autonomous drones.

What You’ll Do:

Craft, implement and test computer vision algorithms for tasks such as object tracking, multi-view geometry estimation, image enhancement, visual SLAM
Generate innovative ideas and build them into systems delivered to customers
Investigate, prioritize, and implement methods for evaluating different parts of our core computer vision system

Qualifications and Skills:

Masters degree in a related field (CS, Physics, Computer Vision) or related
Ability to quickly iterate real-world solutions based on theoretical understanding
At least one year of professional experience working on Computer Vision problems using C++
Solid understanding of 3D Computer Vision

Desirable Skills:

PhD or 3 years of professional hands-on experience working on Computer Vision problems in at least two of the following subjects:
Image Enhancement
Image Filtering
Object Tracking
3D Estimation
3D Reconstruction
SfM
SLAM
Familiarity with real time development in C++.
Experience with drones, cameras, or mobile robotics.

We are an equal opportunity employer that values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity and/or expression, sexual orientation, age, marital status, veteran status, or disability status.

What we do
=========
We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.

What you’ll do
===========
As a Sr Computer Vision Engineer in the Advanced Analytics Division at SAS, you will research and develop image processing methodologies. Our team’s mission is this: we seek to inspire and empower the world through SAS image analytics software. To do that, we design, develop, and document basic as well as advanced extensions to SAS Platforms that process image data at scale, including both photographic and medical imagery. You will be joining an innovative, agile, and dynamic team to expand SAS’s artificial intelligence portfolio.

If you like hard problems, this is the team for you. If you synthesize data structures and novel algorithms while mowing the lawn, this may be the right team for you. If you get excited by problem solving and have a roll-up-your-sleeves mentality, welcome to the team.

You are a developer AND a researcher (possessing strong analytical and research chops). You are someone that is comfortable dissecting research papers, and at the same time, working heavily on production-quality software that will make it into the hands of our customers.

What we’re looking for
=================
- You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
- You have a bachelor’s degree in Computer Science or a related quantitative field.
- 8+ years of experience in commercial software development.
- Demonstrated background in Computer Science fundamentals, including data structures and algorithms.
- Experience with image or video processing.
- Some background in artificial intelligence, machine learning, or deep learning.
- Experience developing in C or C++.
- Strong communication skills, both verbal and written.

The nice to haves
=============
- You have a master’s degree or higher (PhD preferred) in Computer Science or a related quantitative field.
- Experience with:
- Python programming;
- Image processing libraries such as OpenCV and ITK;
- Building systems that process large volumes of data;
- Distributed computing environments;
- Using TensorFlow, Caffe, PyTorch or similar deep learning library;
- Practicing DevOps philosophies, including Continuous Integration;
- Containerization and container orchestration;
- Test Driven Development.
- Agile software development.

Other knowledge, skills, and abilities
===========================
Ability to work independently as well as with a team.

Why SAS
=======
We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference.

Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it - and we can’t wait to see what you’ll bring.

What we do
=========
We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.

What you’ll do
===========
As a Computer Vision Engineer in the Advanced Analytics Division at SAS, you will research and develop image processing methodologies. Our team’s mission is this: we seek to inspire and empower the world through SAS image analytics software. To do that, we design, develop, and document basic as well as advanced extensions to SAS Platforms that process image data at scale, including both photographic and medical imagery. You will be joining an innovative, agile, and dynamic team to expand SAS’s artificial intelligence portfolio.

If you like hard problems, this is the team for you. If you synthesize data structures and novel algorithms while mowing the lawn, this may be the right team for you. If you get excited by problem solving and have a roll-up-your-sleeves mentality, welcome to the team.

You are a developer AND a researcher (possessing strong analytical and research chops). You are someone that is comfortable dissecting research papers, and at the same time, working heavily on production-quality software that will make it into the hands of our customers.

What we’re looking for
=================
- You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.
- You have a bachelor's degree or higher in Computer Science or a related quantitative field.
- 5+ years of experience in commercial software development.
- Demonstrated background in Computer Science fundamentals, including data structures and algorithms.
- Experience with image or video processing.
- Some background in artificial intelligence, machine learning, or deep learning.
- Experience developing in C or C++.
- Strong communication skills, both verbal and written.

The nice to haves
=============
- Master's degree.
- Experience with:
- Python programming;
- Image processing libraries such as OpenCV and ITK;
- Building systems that process large volumes of data;
- Distributed computing environments;
- Using TensorFlow, Caffe, PyTorch or similar deep learning library;
- Practicing DevOps philosophies, including Continuous Integration;
- Containerization and container orchestration;
- Test Driven Development.
- Agile software development.

Other knowledge, skills, and abilities
===========================
- Ability to work independently as well as with a team.

Why SAS
=======
We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference.

Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it - and we can’t wait to see what you’ll bring.

Postdoctoral Research Fellow - Computer vision, AI, machine learning
The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR) group of Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is looking for a postdoctoral researcher in the area of computer vision, AI, and machine learning. The Research Vision-CAIR group performs research and develops computational approaches in the following research themes:

(a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating and understanding unseen art and fashion in 2D and 3D). We are also interested in Affective AI; check out our recent work.

(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 2D and 3D vision is often integrated with language).

Key requirements include good communication (verbal, writing, etc) and excellent publication record in high-quality journals and/or conference proceedings such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, Nature, TPAMI, AAAI. It is an opportunity to develop core algorithmic advances and aim at publishing them at these top venues. More details about the position can be found here.

Apply here: https://apply.interfolio.com/86108

Next cut-off date: June 30, 2021

About Yembo

We are building technology that revolutionizes the way people shop for home services – moving, property insurance, remodeling, and beyond. Using computer vision, we pack the expertise of an on-site estimator into a smartphone. We’re building a world where getting a quote for home services is as easy and interactive as shopping for products online. Our computer vision technology for the moving industry has analyzed over 1 million customer videos in just the past year, and we are now expanding our reach to the property insurance industry.

You will be part of the team building the core computer vision stack and creating the product that will ship to millions of customers. This is an exciting opportunity to be a core contributor to an early-stage company that is using computer vision to disrupt an industry that hasn’t changed in decades!

About You

• You are driven by the same set of core values that we strive to embody at Yembo
• You have a strong foundation in 3D computer vision
• You have experience with 3D reconstruction algorithms (e.g. SFM, MVS, SLAM, etc.) and various 3D representations (e.g. pointcloud, meshes, implicit functions, neural representations, etc.)
• You have experience with deep learning techniques for geometry estimation
• You have experience fusing different sources of 3D data into cohesive models
• You are proficient with Python and/or C++
• You have graduate-level training (MS/PhD) in computer vision
• You have a passion for developing novel solutions to research problems constrained by product requirements
• You are a resourceful scientist, a team player, and a good communicator
• You have a track record of taking ownership of improvements and delivering excellence
• BONUS: You have an established publication record at well-known computer vision and machine learning conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, etc.)
• BONUS: You have experience building production computer vision models for deployment in the cloud
• BONUS: You have experience working with Docker and Kubernetes

About the Role

• You will be responsible for fusing together multiple components of the computer vision stack to produce geometrically accurate 3D models
• You will develop and implement novel geometric solutions for 3D reconstruction tasks
• You will bridge the gap between traditional computer vision and deep learning
• You will help drive peak performance and fast execution for our algorithms
• You will join a tight-knit team building the core technology underpinning our product
• You will work with the product and engineering teams to push your innovations to production

Why work with us?

• Join a fantastic team at a magical time: our moving customers love the product and we have just closed a Series A to drive our expansion into insurance
• Watch your research transform the lives of millions of people
• Meaningfully shape our future products
• Be part of a company where everyone loves what they're doing
• Competitive base salary + equity options
• Medical, dental and vision plans
• Generous PTO, holidays, and parental leave policies
• We are able to sponsor visas and green cards for exceptional candidates
• We are headquartered in San Diego, but this position can be fully remote within the US based on the team member's needs