Image, Video and Multidimensional Signal Processing

• In this project we will develop new AI systems that allow bringing the reasoning closer to how a human learns and reasons about the world. More specifically, we will target the following key characteristics where humans perform better at than traditional AI systems: 
  - humans can cope much better with hierarchical information structure;
  - humans are able to learn much faster and better from limited data, often exploiting previous knowledge;
  - humans are able to perform much more complex reasoning and go beyond simple pattern matching.
• We are looking for a Master in Mathematics, Computer Science or Engineering with expertise or interest in image processing and machine learning in particular. Coding skills are required.
• Interested candidates should submit a cover letter detailing background and interest in this position, a full C.V. and information about grades during each Bachelor and Master year via email to Ann.Dooms@vub.be before 1st of November 2019.

Algorithms for Event-Driven Camera Analysis

School of Computing, Engineering and Mathematics

Scholarship code: 2019-089

https://www.westernsydney.edu.au/graduate_research_school/graduate_research_school/scholarships/current_scholarships/current_scholarships/scem_algorithms_for_event-driven_camera_analysis

About the project

Event-driven cameras are exciting technology that do not acquire full images like traditional cameras, but record only intensity changes when they occur. The International Centre for Neuromorphic Systems at Western Sydney University has been adapting them to perform Neuromorphic space imaging.

This PhD scholarship builds on this work to help develop the correct abstraction and a theory so as to improve knowledge extraction algorithms. It goes from modelling to algorithm testing using real data, working together with a world-class team.

What does the scholarship provide?

• Domestic candidates will receive a tax-free stipend of $30,000(AUD) per annum for up to 3 years to support living costs, supported by the Research Training Program (RTP) Fee Offset.
• International candidates will receive a tax-free stipend of $30,000(AUD) per annum for up to 3 years to support living costs. Those with a strong track record will be eligible for a tuition fee waiver.
• Support for conference attendance, fieldwork and additional costs as approved by the School.

International candidates are required to hold an Overseas Student Health Care (OSHC)(opens in new window)insurance policy for the duration their study in Australia. This cost is not covered by the scholarship.

Eligibility criteria

The successful applicant should:

• hold qualifications and experience equal to a Masters in the fields of Data Science, Computer Science, Applied Mathematics, Electrical Engineering or similar fields.
• have programming experience (ideally Python)
• be knowledgeable in topics such as signal processing, algorithms, probability and statistics.
• have the ability to think abstractly and deeply.
• have the ability to work in a team of highly motivated engineers, computer and data scientists, and applied mathematicians.
• be highly motivated to tackle challenging problems, with a desire to learn and grow.

Ph.D. positions with full financial support are now available in Dr. Ying Liu’s group in the Department of Computer Science and Engineering at Santa Clara University (SCU). Dr. Liu is looking for self-motivated PhD students to work on image/video processing, machine learning and deep learning. Visiting scholars and students are also welcome.

Dr. Ying Liu is an Assistant Professor in the Department of Computer Science and Engineering at Santa Clara University. Her research focuses on image and video processing, deep learning, high-dimensional data, and compressed sensing. She is an IEEE member and an SPIE member. Her research articles are published in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Multimedia (TMM), Multimedia Tools and Applications, SPIE Journal of Electronic Imaging (JEI), and prestigious conferences such as ICASSP, ICIP, SPIE DCS, and IEEE Asilomar conference. She serves as a reviewer of many top-ranked journals and also serves as the technical program committee member of multiple international conferences.

Requirements:

• M.S. degree (or about to graduate) in Computer Science/Engineering, Electrical Engineering, or related majors.
• Solid mathematical background and strong programming skills in Python, Matlab and C++.
• Experience in image processing, video coding, deep learning, machine learning, or computer vision is a plus.
• GRE score.
• TOEFL/IELTS scores for international students.
• Strong motivation in cutting-edge research and paper publication.
• PhD program starts from: Fall 2019/Winter2020/Spring2020/Fall 2020

Contact: yliu15@scu.edu

Website: http://www.cse.scu.edu/~yliu1/

Admission requirements: https://www.scu.edu/engineering/graduate/admissions-requirements/

University website: https://www.scu.edu

University Introduction: Santa Clara University is a private Jesuit university in Santa Clara, California. It is located in the Silicon Valley town of Santa Clara, California, about an hour from San Francisco. Founded in 1851, Santa Clara University is the oldest operating institution of higher learning in California and the west coast of the United States. In U.S. News & World Report's rankings of master's universities (West) for 2019, Santa Clara University ranks 1st overall. In 2018 Forbes ranked Santa Clara University 76th out of 660 rated private and public colleges and universities in America.

The Brain Image Analysis Unit at the Center for Brain Science (CBS), RIKEN, Japan, seeks highly motivated individuals who will contribute to the development and implementation of image processing and image analysis techniques with a focus on brain image data.

The work will be done in a highly interdisciplinary research group consisting of scientists from the neural-scientific and medical research fields.  The Brain Image Analysis Unit integrates deep learning techniques into new algorithms to improve state-of-the-art processing and analysis of brain imaging data. Emphasis is placed on developing methods for image registration, image stitching, tracking of neurons and axon fiber bundles, detection, and segmentation of structures and denoising, enhancement, and visualization of images.

CBS website: https://cbs.riken.jp/en/faculty/bia/
Lab website: http://bia.riken.jp/

About the unit and the project

The Brain Image Analysis Unit develops new algorithms for the processing and analysis of multi-modal brain imaging data such as two-photon, bright-field microscopy images, and MRI.
We are in close collaboration with scientists from the neural-scientific and medical research fields. As a member of the Brain/MINDS project, the unit analyzes image data of the brain of the common marmoset monkey to help better understand the structure and function of the primate brain.

Artificial intelligence plays an important role in contemporary image analysis. In particular, machine learning techniques such as deep learning are indispensable for the automated analysis of large image data-sets. The Brain Image Analysis Unit contributes to this exciting new field by integrating deep learning techniques into new algorithms to improve state-of-the-art processing and analysis of brain imaging data. Emphasis is placed on developing methods for image registration, image stitching, tracking of neurons and axon fiber bundles, detection, and segmentation of structures and denoising, enhancement, and visualization of images.

Job description

The selected candidate will join the interdisciplinary Brain/MINDS project, and as a member of the unit will contribute to the development and implementation of image processing and image analysis techniques with a focus on (marmoset) brain image data. The work will be done in a highly interdisciplinary research group consisting of scientists from the neural-scientific and medical research fields.
The emphasis is on developing cutting-edge technologies that improve current state-of-the-art and publishing high impact work in top-tier journals in order to build a substantial resume and strong international collaborations.

Experiences in biomedical image analysis is an advantage but not a requirement. This job may be a great opportunity to apply knowledge and expertise from the computer vision and/or image processing field to new problems in the biomedical field. 

Location

Wako-City (Kanto district, 2-1 Hirosawa, Wako, Saitama 351-0198). RIKEN is located in very close proximity to the northern part of Tokyo. http://www.riken.jp/en/access/wako-map/.

The RIKEN campus is quite large and offers cafeterias, coffee shops, and a convenient store. From the nearest train station, it is only a 12 min train ride to the Ikebukuro-Station (Tokyo). The  Ikebukuro-Station is a hub which connects many famous places in Tokyo, including Shinjuku (9 min train ride), Shibuya (18 min train ride) or Akihabara (19 min train ride). Many people prefer to avoid crowded streets and trains in their daily life and are living in close proximity to RIKEN. However, those who prefer living close to the nightlife and entertainment spots in Tokyo benefit from commuting out of the city in the morning, and returning in the evening (significantly less crowded than the other way around).

Qualifications

The candidate should have or be expecting to receive a Ph.D., by the time of employment, in related fields and 
have relevant research skills and experience in developing algorithms for the analysis/processing of biological/medical/neural images, computer vision, machine learning, deep learning, optimization, simulation, or similar fields, demonstrated by high-quality publications
good English communication skills 
proficiency in a programming language (such as C++/Python/JS)
good communication skills and ability to cooperate

Application & Employment

Start: October, 2019 (negotiable). A renewable one-year fixed-term employment contract to a maximum of the end of fiscal year 2023 (March 31, 2024), with annual evaluation. For further details, please refer to the job posting URL
https://cbs.riken.jp/en/careers/20190530_w19047_bia_r.html

PhD Position : Image Analysis of dynamic MRI data to study musculoskeletal disorders 

Lab

Research at IMT Atlantique involves nearly 800 people, including 290 teachers and researchers and 300 PhD students, and is on digital technology, energy and environment. It covers all disciplines (from the physical sciences to humanities and social sciences through those of information and knowledge) and covers all fields of science and information and communications technology.

The thesis will take place in the laboratory LaTIM (INSERM U1101), at Brest campus under the supervision of François Rousseau and Douraied Ben Salem.

Starting date: October 2019

Funding : IMT Atlantique - Philips

Project description

Musculoskeletal disorders have a debilitating impact on quality of life as well as on healthcare costs. Accurate clinical diagnosis and patient specific treatment are the key areas that play utmost important role in the management of musculoskeletal disorders. Individuals with musculoskeletal disorders often exhibit joint or pain and/or weakness for simple daily tasks or motions. Although using such pain-inducing tasks could be a good strategy to collect dynamic MRI data, a quick and non-repetitive technique to acquire dynamic data is most important. The causative relationship of many disorders spanning almost all human joints have not yet fully understood, and imaging efforts are mostly focused on static diagnosis and treatment follow-ups. Thus, dynamic MRI based evaluation of musculoskeletal disorders could have huge impact in not only understanding the joint pathomechanics but also guiding surgical or rehabilitation therapy [1].

To this extent, we have developed dynamic MRI sequences on the current 3.0T Philips MRI scanner. Both these sequences are real-time sequences with one based on Fast Field Echo (FFE) and another on balanced-FFE. We have also developed a post-processing technique to convert the low-resolution dynamic MRI images to high resolution images using a log-euclidean polyrigid framework. 

This PhD thesis is focused on developing a framework to analyze the joint mechanics. It will benefit from the development already done on the ankle joint in children and will focus on resolving challenges faced in image acquisition, and processing. Following specific aims are sought within the scope of this Project: 

1) Development of image processing algorithms for specific joint and acquisition (3D+t image reconstruction [2] and segmentation), 

2) Application of the developed algorithms on targeted musculoskeletal disorders [3] (ankle joint development in cerebral palsy (see figure below)),

3) Study the complementary between MRI sequences and the potential of diffusion MRI for musculoskeletal system study.

Profile

• Master degree in image processing or applied mathematics
• Required skills:  machine learning, image processing, programming (C++ & Python).

Net income/month : ~1500€

Contact

François Rousseau

email : francois.rousseau@imt-atlantique.fr

www :  http://perso.telecom-bretagne.eu/francoisrousseau

How to apply 

Candidates are invited to email (to François Rousseau) a motivation letter and CV detailing in full your academic background, including all modules taken and grades assigned.

Bibliography

1. B. Borotikar, M. Lempereur, M. Lelievre, V. Burdin, D. Ben Salem, S. Brochard. Dynamic MRI to quantify musculoskeletal motion: A systematic review of concurrent validity and reliability, and perspectives for evaluation of musculoskeletal disorders. Plos One 12(12), 2017.
2. K. Makki, B. Borotikar, M. Garetier, S. Brochard, D. Ben Salem, F. Rousseau. In vivo ankle joint kinematics from dynamic magnetic resonance imaging using a registration-based framework. Journal of Biomechanics, 86, 193-203, 2019.
3. K. Makki, B. Borotikar, M. Garetier, O. Acosta, S. Brochard, D. Ben Salem, F. Rousseau. 4D in vivo quantification of ankle joint space width using dynamic MRI. IEEE EMBC, 2019.

The Signal Processing research group at the Universität Hamburg (http://uhh.de/inf-sp) is hiring a postdoctoral researcher for 33 months for the project "Crossmodal Processing of Audio-Visual Signals".

Please find the full job announcement with all details here.
https://www.inf.uni-hamburg.de/en/inst/ab/sp/job-offer.html

Position description: The department of Electrical Engineering at the Technion - Israel Institute of Technology invites researchers for a postdoctoral position in the area of machine learning for healthcare Medical Imaging and automotive radar. The selected candidate will work with Prof. Yonina Eldar at the SAMPL lab in collaboration with clinicians in Israel and USA.

Qualifications: Applicants should have a Ph.D. (or they are about to graduate) in electrical engineering, computer science, or applied mathematics. A strong background in signal processing or computing is required. Excellent English writing skills are an advantage.

Compensation: This is a full-time, one-year, non-tenure-track appointment with possibility of extension subject to satisfactory performance. Funds for conference travel and research expenses will also be provided. Starting date is flexible.

For more details please visit Prof. Eldar’s website: http://webee.technion.ac.il/Sites/People/YoninaEldar/

To submit your application, please send an updated CV with a list of publications, 3 letters of recommendation and a cover letter to yonina@ee.technion.ac.il

At Crestron Electronics, Inc we build the technology that integrates technology.

We are proud to be the largest and most recognized brand in automation and control solutions, and the premier technology partner for fortune 500 businesses globally. Our products’ are integrated into new high-tech commercial buildings’ to include some of the most exciting real estate throughout the world.  Our clients include Google, Microsoft, Amazon, Linked In and many others.  

Our automation and control solutions for homes and buildings allow our clients to control entire environments with the push of a button, integrating systems such as Audio Visual, Lighting, Shading, Security, Building Management Systems and HVAC to provide greater comfort, convenience and security.

Overview:

We continue to experience rapid growth as we invest in resources and create new opportunities, as a result, we have exciting opportunities for a Senior Design Engineer to join our Analog Hardware team in Rockleigh, NJ 07647. As a design engineer for this team , you will work on cutting edge power supply designs using the latest technologies.  You will be part of the team that develops high power audio amplifiers and also create the next generation wireless devices for the Internet of Things.

Responsibilities:

• Develop a product definition, feature set, board level design and verification strategy from a high-level set of requirements.
• Perform detailed analog circuit design and analysis.
• Perform simulations of analog circuits.
• Specify and guide printed circuit board designs.
• Perform the verification and testing of various analog circuits.
• Perform debugging of analog circuits.
• Special projects as assigned.

Qualifications:

• MS in Electrical Engineering or related field + minimum 6 years of relevant experience is required.
• BS in Electrical Engineering or related field + minimum 8 years of relevant experience is required.
• Expert level knowledge of the below skills is required:

• DC/AC signal parameters, compositions, and transforms
• Analog circuit topologies (operational amplifier ( op-amp) , gain block, inverter, differentiator, integrator, filters), feedback loop stability and circuit simulation methods
• ADC and DAC based circuits
• SPICE simulations (e.g. LTSPice, TinaPro, PSpice, etc.)
• Low-noise techniques, grounding strategies, precision designs, and isolation techniques
• Practical knowledge of PCB construction, properties, effect of PCB materials on signal quality

• Excellent circuit troubleshooting techniques with the ability to debug down to the component level is required
• Excellent teamwork and interpersonal skills; ability to work as part of a multi-disciplinary team (HW, FW, and Mechanical design engineers) is required
• Familiarity with various regulatory requirements (UL, CE, FCC) is a plus.
• Familiarity with thermal management techniques for semiconductors is a plus.
• Familiarity with component de-rating for improving reliability is a plus.
   

EOE/M/F/D/V

Benefits

At Crestron Electronics, we offer a competitive total compensation package including medical, Dental, Vision, Life Insurance and Short Term Disability. 401K with company contribution, Paid Vacation, Holidays and more! 

We have new onsite state of the art fitness and wellness centers at our Headquarters in Rockleigh, NJ. 

Must be able to work in the US without sponsorship

 *No Solicitation*

Any agency submittal to any and all employees of Crestron Electronics, Inc. by any method of communication will be deemed, the sole property of Crestron Electronics Inc

The Institution for Future is a newly established department in Qingdao University, nestling under the mountain and beside the sea in the beautiful coastal city of Qingdao. We have millions of funding and now seeking for some teammates who wish to lead the future with us. The following five labs are opening for candidates at all ranks (Post-Docs, assistant, associate, and full professor):

• Lab of Artificial Intelligence
• Lab of Robotics
• Lab of Intelligent Manufacture
• Lab of Unmanned Systems
• Lab of Fundamental Research

We are interested in candidates in broad areas, including but not limited to: control theory and technology, computer science, signal processing, robotics, unmanned systems, artificial intelligence. You will be given large freedom for your own research and/or industrial projects.

The assistant professor position and Post-Doc position is only for young scientists under 35. The Post-Doc position lasts about 2 years (usually no less than 20 months, no more than 3 years). Special offers are available for outstanding candidates now.

To apply or to request more information, please contact jwy1992@126.com as soon as possible. Application documents should include a detailed CV, publication record, your best 2 papers, and preferably a proposal for your future research.

Our Group at Apple is looking for Image Processing / Machine Learning Algorithm Engineer. Please contact me for more details: tongasu@gmail.com.

• MS/PhD in CS/EE/Optics. 3+ years of related experience is required for MS
• Deep knowledge of image processing and computer vision
• Rich experience on algorithm development