Image, Video and Multidimensional Signal Processing

Who we are looking for:
An experienced signal processing engineer who is creative, innovative, thrives on technical challenges, and is comfortable merging concepts from different technical disciplines.

Experience (required):
• 5 years of signal processing experience (analysis, modification, and synthesis)
• strong background emphasizing and detecting components in signals
• strong data analysis/data science abilities
• strong programming abilities

Experience (desired):
• research and development (R & D)
• ASIC (application specific integrated circuit)design
• sensor design or integration

Education:
BS Electrical Engineering or related field

Location:
This job is a laboratory research position, so it is in-person, on-site in Tucson, AZ at Tech Parks Arizona.

What you will get:
Opportunity to be part of the founding team, launching new instrumentation that will change how the world is seen
Chance to be part of a close-knit, knowledgeable, and collaborative team
Additional experience in Research and Development (R&D)
Competitive compensation package that includes: competitive salary, health benefits, retirement, paid time off (PTO), stock options, and relocation assistance (for out-of-state applicants)

Position description: The research project will focus on developing machine learning/deep learning methods for fundamental computer vision problems including object motion tracking, segmentation, 3D reconstruction, classification and image captioning in 2D/3D images including RGBD images, remote sensing data, 3D CT/MRI medical images and biomedical text. The successful applicant will contribute to research and development of efficient and low cost machine learning/deep learning tools with potential application on autonomous driving cars, large scale 3D scene reconstruction, mapping and localization, video surveillance, human computer interaction, virtual reality, augmented reality, computer-assisted surgery and computer aided disease diagnosis.  The group’s works appeared in top journals and conferences including CVPR, ECCV, MICCAI, TPAMI. For a complete list of her works and more information about her research, please visit: https://www.yingyingzhu.net 

Qualifications: Successful applicants will have a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Physics and other related fields, and strong motivation to do cutting edge research in computer vision and machine learning. Additionally, strong quantitative skills and a strong programming background (Python,C++, embedded system) are desired. Previous research experiences in related fields and scientific publications in journals/conferences are appreciated but not required.            

About the department:

UT Arlington Computer Science has top research ranking based on the past ten-year publications at:

• Artificial Intelligence (ranks #30 in USA)

• Computer Vision (ranks #34 in USA)

• Machine Learning & Data Mining (ranks #59 in USA)

Computer Engineering #80, Computer Science #91 [U.S. News & World Report 2019]

Strong enrollment growth in CSE: Currently 1,363 Bachelor’s, 747 Master's, 132 Ph.D.

R1 university [Carnegie Classification of Institutions of Higher Education]

The application materials will be reviewed immediately once received. The expected starting time is Fall 2020 or Spring 2021. Interested candidates should send a cover letter describing your research interests, CV (including undergraduate GPA and ranking, transcripts if applicable), and contact information of three references to Dr. Yingying Zhu: zhuyingying2@gmail.com.                    

Check here for detailed admission requirements (e.g., GRE and TOEFL scores)

https://catalog.uta.edu/academicregulations/admissions/graduate/

• Digitization is an important means to preserve the content of materials which are basically vulnerable to physical damages. In particular, paper based (and especially historical) documents account for an invaluable source of information. The goal of this PhD project is to develop machine learning tools for analyzing scans of documents.
• We are looking for a Master in Mathematics, Computer Science or Engineering with expertise or interest in image processing, machine learning and natural language processing in particular. Coding skills are required.
• Starting date between 01/11/20 and 01/01/2021.
• 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 by October 15th the latest.

Open rank position in machine learning for medical image and signal processing

Information about the position: This position is focused on research in applications of image and signal processing in the biomedical area, e.g. developing automatic methods to interpret images and signals from medical imaging systems and other biomedical sensor modalities. We aim to develop state-of-the-art meth- ods for medical image and signal processing, based on key enabling techniques from machine learning, estimation, optimization and mathematical modeling. The research will be performed in close collabo- ration with medical researchers from Sahlgrenska Academy at Gothenburg University and other medical institutions within Sweden and from the international scene.

Major responsibilities: The holder of the position will perform research and apply for research grants. The department is responsible for both a bachelor program and a master program in biomedical engineering and the holder of the position will contribute both with teaching and continuous development of the two education programs. Supervision of students on bachelor, master and doctoral level is included.

The department has several ongoing medical research collaborations, for instance, with the Swedish CAr- dioPulmonary bioImage Study (SCAPIS), MedTech West, Stroke Centre West and the Department of Ra- diology at Sahlgrenska Academy, University of Gothenburg. One major responsibility for the candidate is to strengthen these collaborations and to establish new medical research collaborations with researchers at Sahlgrenska Academy and other medical partners. The candidate will supervise and co-supervise doc- toral students in a cross disciplinary research school being established jointly by Chalmers and Sahlgrenska Academy at University of Gothenburg.

Position summary: Full-time permanent employment.

Qualifications: We are looking for a researcher with solid mathematical knowledge capable of performing research at the international forefront. As a candidate you should have experience in recent machine learn- ing methods applied to problems in the field of medicine. Mandatory is a PhD degree in signal processing, image analysis or in a similar subject area with a proven track-record of i) an independent and interna- tionally recognized line of research within the field and ii) good ability to supervise doctoral students iii) ability to teach in the undergraduate and graduate curriculum at the Department of Electrical Engineer- ing https://www.chalmers.se/sv/institutioner/e2/Var-Utbildning/Masterprogram iv) have published in major scientific journals within the field v) have presented your research at main international conferences, such as ICCV, ECCV, CVPR, NIPS, MICCAI, ICASSP and EMBC vi) ability to attract research funding from external funding agencies vii) ability to perform research with collaborators from the medical sciences.

For more information and how to apply see: hhttps://bit.ly/3fgKavv 

Application deadline: August 31, 2020.

A postdoctoral scholar position with a focus on applications of machine learning in cardiac MRI. Details can be found at:

https://recruit.ap.uci.edu/JPF05862

A question that naturally arises in active sensing systems, such as ToF systems, is how much volume can be sensed with a given power budget, and how this can be extended by means of some more intricate sensing scheme. The main objective of this project is the development of a very-wide-area ToF 3D sensing system which has to be outstandingly efficient regarding the power consumption. To attain such an ambitious goal we propose bringing compressive sensing into the game and using recently proposed adaptive methods for constructing close-to-optimal binary sensing matrices. Such matrices, initially developed at ZESS for use in pulsed ToF, are able to progressively concentrate the sensing power in those regions of the domain where the signals (e.g., sparse targets) live. This way the SNR of the measurements can be effectively improved by synthetically reducing the signal domain or, complementary, increasing the range of the system without increasing the power budget.

The successful candidate will be employed for a maximum period of three years full-time equivalent and receives a generous financial package plus an additional mobility and family allowance according to the rules for Early Stage Researchers (ESRs) in an EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN). A career development plan will be prepared for each fellow in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment. For more information please visit the Marie Sklodowska-Curie Actions Innovative Training Networks website.

YOUR TASKS

• Evaluation of the possibilities and main trade-offs of a very-wide-area ToF 3D sensing system.
• The advantages of implementing close-to-optimal binary sensing matrices for acquiring the measurements are to be evaluated. The performance improvement attained by means of adaptive construction methods is to be evaluated. Adaptation is first to be considered in depth domain and then extended to the full 3D space.
• Building upon the previous results, the ESR should select or develop his own tailored sensing strategies.
• For the selected sensing schemes, realistic requirements for the hardware to develop should be defined.
• A final hardware design is to be outlined and constructed, according to the selected sensing scheme and system requirements. The system has to be composed by a high power modular illumination system and a ToF camera able to use custom binary codes as control signals. The latter can be a solution provided either by CiTIUS or pmdtec. The performance of the prototype as 3D imaging system is to be evaluated, both in controlled scenes and real-world scenes, and contrasted to the initial simulation results. Different methods for reconstructing the (sparse) 3D scene are to be considered that exploit the structure in the sensing matrix and side information from adaptation.
• The performance of the prototype as 3D imaging system is to be evaluated, both in controlled scenes and real-world scenes, and contrasted to the initial simulation results. Different methods for reconstructing the (sparse) 3D scene are to be considered that exploit the structure in the sensing matrix and side information from adaptation.

PROFILE

• Master of Science in Electrical Engineering, Electronics Technology, Electrical Engineering Technology, Electrical and Computer Engineering, Physics, Industrial Engineering, Information Technologies or related fields
• Master of Science in Electrical Engineering, Electronics Technology, Electrical Engineering Technology, Electrical and Computer Engineering, Physics, Industrial Engineering, Information Technologies or related fields
• ESRs must demonstrate that their ability to understand and express themselves in both written and spoken English is sufficiently high for them to derive the full benefit from the network training. Non-native English speakers are required to provide evidence of English language competency (TOEFL, …).
• Knowledge and experience on scientific programming languages, e.g., Matlab, Python, C, C++, etc.
• Some basic knowledge on signal processing and Time-of-Flight imaging
• Knowledge on compressive sensing would be an advantage

PLANNED SECONDMENTS

• INSITU, Vigo, Spain, Prof. Dr. P. Arias Sánchez, 4 months, real-world performance evaluation of the prototype. Prospective applications. Testing in INSITU mobile platforms.

ADDITIONAL INFORMATION

Contact and further Information

https://www.uni-siegen.de/zess

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.

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), Elsevier Journal of Pattern Recognition, 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. Experience in GPU and deep learning programming.
• GRE score.
• TOEFL/IELTS scores for international students.
• Strong motivation in cutting-edge research and paper publication.
• PhD program start date: Spring2020/Fall 2020

Contact: phdapplication2020scu@gmail.com

              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

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. It is ranked 51st by Forbes 2019 and 54th by US News & World Report 2020 among the US national universities.

• The Henry Samueli School of Engineering - Biomedical Engineering

Recruitment Period

Description

The UCI Department of Biomedical Engineering (BME) in the Henry Samueli School of Engineering is recruiting a highly motivated and creative individual for a postdoctoral scholar position with a focus on applications of artificial intelligence in cardiac MRI. The projects at Kheradvar research Group (KLAB) are at the intersection of engineering, mathematical sciences, clinical cardiology, cardiothoracic surgery, and developmental biology. The candidate will be working on a joint project between Prof. Kheradvar and Prof. Jafarkhani (the UCI’s Center for Pervasive Communications and Computing (CPCC).

The desired candidates must have:
• Machine Learning & AI Experience
• Signal Processing/ Image Processing knowledge
• Understand Python architecture - must have a basic understanding of code primarily python.
• Experience working in a team as a dev or the team mind set in an Agile Environment
• Must understand AI algorithms so (coding & Math) at a level to DESIGN new algorithms
• Must be up to date with AI Architecture
• Plus: Experience in MRI
• Plus: Web developer experience

Requirements: Ph.D. in electrical engineering, biomedical engineering, computer science/engineering, physics, mathematics, statistics, or related fields. Ability to work well with a diverse group of scientists. Excellent oral and written communication skills.

The initial appointment for this position will be for 1 year with potential for renewal. Salary is commensurate with qualifications and years of experience. NIH scale will be used to determine salary, and a generous benefits package is provided per the university policies. Note: Total duration of an individual’s postdoctoral service may not exceed five years, including postdoctoral service at other institutions.

Application Procedure: Applicants will need to upload curriculum vitae, name/addresses of at least three references and cover letter expressing area(s) of interest to our online RECRUIT system at https://recruit.ap.uci.edu/apply/JPF05862

Screening will begin on January 3, 2020 and continue until position is filled.

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

Job location

Learn More

Requirements

• Curriculum Vitae - Your most recently updated C.V.

• Cover Letter - Express areas of interest.
  (Optional)

• Misc / Additional (Optional)

• 3 required (contact information only)

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.

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), Elsevier Journal of Pattern Recognition, 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. Experience in GPU and deep learning programming.
• GRE score.
• TOEFL/IELTS scores for international students.
• Strong motivation in cutting-edge research and paper publication.
• PhD program start date: Spring2020/Fall 2020

Contact: phdapplication2020scu@gmail.com

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

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

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

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. It is ranked 51st by Forbes 2019 and 54th by US News & World Report 2020 among the US national universities.

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), Elsevier Journal of Pattern Recognition, 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 the 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. Experience in GPU and deep learning programming.
• GRE score.
• TOEFL/IELTS scores for international students.
• Strong motivation in cutting-edge research and paper publication.
• PhD program start date: 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

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. It is ranked 51st by Forbes 2019 and 54th by US News & World Report 2020 among the US national universities.