Computational Imaging

We are looking for candidates interested in developing deep learning algorithms for brain-related 2D/3D MRI or microscopy images. Possible topics include image registration, segmentation or the automatic tracking/tracing of neurons in large 3D image data. We also welcome new project proposals related to brain/neuron image data analysis.

Experience in biomedical image analysis is a plus, but not a requirement. This position can be a great opportunity to apply knowledge and expertise from computer vision and/or image processing to new problems in the biomedical field.

Our webpage can be found here: https://bia.riken.jp We are looking forward to hearing from you

 

Postdoctoral Fellow, Research Scientist, and Instructor in Biomedical Optics and Medical Physics

We are looking for skilled and enthusiastic candidates to fill Postdoctoral Fellow, Research Scientist, and Instructor positions in the Biomedical Imaging and Radiation Technology Laboratory(BIRTLab) at Department of Radiation Oncology in UT Southwestern Medical Center. Our mission is to innovate, develop, and apply biomedical technology to empower cancer research.

Successful candidates will be joining our team to work either one of the following projects:

(1).       Establishing an ultra-sensitive optical imaging integrated with X-ray cone beam CT(CBCT)/MRI imaging for in vivo tumor and immune cell tracking to facilitate cancer therapy development. The research involves imaging reconstruction, and the development of camera-lens imaging system or single pixel imaging.

(2).       Developing optical tomography-guided system for pre-clinical radiation therapy research; specifically, we will develop a fluorescence, bioluminescence, and diffuse optical tomography system to localize tumors in vivo, guide irradiation, and quantify treatment response.

(3).       Establishing molecular image-guided system for ultra-high-dose rate (FLASH) radiation therapy as a new cancer treatment paradigm; the research involves numerical oxygen transport modeling, Monte-Carlo simulation, optical imaging and radiation physics to assess the efficacy of FLASH therapy.

The projects are multi-disciplinary and integrate engineering, algorithm development, optics, radiation physics, biology, and industrial components. Success completion of the projects will significantly advance image-guided systems and radiation technology to improve cancer treatment.

BIRTLab provides an outstanding environment to grow candidates toward successful careers.

• PI Dr. Wang works tirelessly with candidates to ensure they meet their career goals. Through attentive guidance, he encourages members to think creatively and develop their own research projects. All activities are supported by extramural funding through the NIH and Texas CPRIT.
• Successful members are also eligible for basic clinical medical physics training and a tuition fee waiver to enroll in a certificate program with CAMPEP-accredited courses, which covers medical physics didactic elements for people who enter the medical physics profession through an alternative pathway.

Multi-disciplinary projects, a strong research environment, and the medical physics pathway together provide a unique opportunity to prepare the candidate for careers in academia and industry, or to become a professional medical physicist in the U.S.

Candidates with established experience in numerical algorithm development, biomedical optics, or engineering system design and development are desired. Candidates who hold degrees in mathematics, physics, biomedical engineering, optics, computer science and engineering are encouraged to apply. Further details about the BIRTLab and projects can be found at https://www.utsouthwestern.edu/labs/birt/

Position and compensation are based on candidates’ experience and NIH scale with highly competitive benefits. UT Southwestern Medical Center is in Dallas, Texas. Dallas is the fourth-largest metropolitan area in the US with fast growing industrial sectors and job opportunities. Interested candidates should send a statement of interest, CV, and the contact of 3 references to:

Ken Kang-Hsin Wang, Ph.D., DABR

Associate Professor

CPRIT Scholar in Cancer Research

Division of Medical Physics and Engineering

Department of Radiation Oncology

UT Southwestern Medical Center

Kang-Hsin.Wang@utsouthwestern.edu

Positions: The Gordon Center for Medical Imaging (GCMI) in the Department of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) has multiple openings for highly qualified individuals at the postdoctoral level to work with Prof. Kuang Gong on NIH funded projects related to PET image reconstruction, medical image analysis, and machine learning methodologies.

The research projects aim to utilize machine learning-based image reconstruction and analysis to improve the diagnosis and progression tracking of Alzheimer’s disease (AD) and cancer. The projects are based on collaborations with clinicians from MGH, Harvard Aging Brain Study (HABS) and MD Anderson Cancer Center (MDACC). The successful candidate will have joint appointments at MGH and HMS.

Requirements:

·      Applicants should have earned a Ph.D. in engineering, statistics, mathematics, physics, neuroscience, or a related field.

·      Strong analytical, quantitative, programming and communication skills are essential.

·      Prior research experience with image reconstruction or medical image analysis is required.

·      Prior research experience with machine learning or deep learning, and proficiency in Pytorch/TensorFlow programming is desirable.

·      Applicants should be self-motivated and able to work independently as well as in a collaborative environment.

Environment: The Department of Radiology offers extensive core research facilities, including a new digital time-of-flight PET/CT scanner, brain and whole-body PET/MRI scanners, small animal PET/SPECT/CT systems and several MRI scanners, including two 7T ultra-high-field scanners. It also includes a large-scale computing facility for image analysis, network training, tomographic reconstruction, Monte Carlo simulation, and other computationally intensive research applications. The successful applicant can interact collaboratively with a large, growing research group in diverse areas of imaging technology and applications.

Apply: The positions are available as of June 2022 and the start date is flexible. If interested, please send your curriculum vitae, a cover letter describing your background and research interests, and contact information of three references to Prof. Gong (kgong@mgh.harvard.edu). Applications will be reviewed in a rolling basis until the positions are filled.

Machine learning and specifically deep learning techniques are promising tools in medical image analysis and they have demonstrated very good performances in many tasks, such as image segmentation. These techniques are though data demanding and as such they need large-scale cohorts, often multi-centric datasets. In this context, Domain Adaptation (DA) has recently raised strong interests in the medical imaging community as the generalization of algorithms to unseen data (domain shift), different input data domains (missing modalities) and the uncertainty of the networks output due to domain shift are still open problems. Nevertheless, all these aspects are crucial in order to translate AI models for medical image analysis methods to be evaluated in large-scale heterogenous imaging acquired in clinical practice.

In this context, we are looking for a full-time post-doctoral researcher to join the CIBM Signal Processing CHUV-UNIL section. The researcher will focus on domain adaptation, federated learning and other generalization solutions for AI-based reconstruction, segmentation and classification for Magnetic Resonance Imaging (MRI) analysis. This position aims also to investigate different aspects of explainable AI linked to domain shifts. The research will be conducted in the context of AI segmentation and classification models for assessment of advanced imaging biomarkers in Multiple Sclerosis.

Your profile

• A PhD degree in engineering, electrical engineering, computer science, physics or related fields

• Strong background in image processing and deep learning techniques is a must, with published papers in key journals (TMI, MedIA, etc) and conferences in the field (MICCAI, MIDL, NEURIPS, CVPR, etc).

• Demonstrated previous experience in different aspects of domain adaptation in reconstruction/segmentation or classification problems is required.

• Experience in neuroimage analysis is a plus.

• You certify proficiency in programming (Python, PyTorch/Keras, Javascript, bash, etc)

• You are eager to supervise and transfer your knowledge to master and PhD students and promoting a collaborative environment within CIBM sections.

• You have excellent written and oral communication skills in English; French is a plus.

• Rigorous work habits, a curious and critical mind, and a good sense of initiative.

• A high-level perseverance and a strong personal commitment are expected.

How to apply

Please send your CV, two references and a motivation letter to Dr. Meritxell Bach Cuadra (meritxell.bachcuadra@unil.ch).

Open call can be downloaded here.

The Department of Electrical Engineering at Stanford University (http://ee.stanford.edu/) invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. Priority will be given to the overall originality and promise of the candidate’s work over any specific area of specialization.

Applicants should have an earned Ph.D., evidence of the ability to pursue an independent program of research, a strong commitment to both graduate and undergraduate teaching, and the ability to initiate and conduct research across disciplines. A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in Ph.D. research.

Applications should include a brief research and teaching plan, a detailed resume including a publications list, and the names and email addresses of at least five references.

The Electrical Engineering Department, School of Engineering, and Stanford University value faculty who are committed to advancing diversity, equity, and inclusion. Candidates may optionally include as part of their research or teaching statement a brief discussion of how their work will further these ideals.

Candidates should apply online at http://ee.stanford.edu/job-openings. Applications will be accepted through November 28, 2021.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.

 

 

 

2 x Professor / Reader of Machine Learning and Artificial Intelligence

Department of Computer Science
University of Surrey
Guildford, UK

https://jobs.surrey.ac.uk/037121 

The Department of Computer Science at the University of Surrey seeks to recruit two research leaders with an international profile and an outstanding research and publication track record to lead a substantial and sustained portfolio of research in any of the following areas within Machine Learning (ML) and Artificial Intelligence (AI):

• Trustworthy AI (explainable, secure and privacy preserving machine learning)
• Deep learning for natural language processing
• Computational neuroscience and machine learning
• Distributed machine learning and optimization
• AI planning and optimal control

The Department of Computer Science has a world-class reputation in these areas and regularly publishes at top-level conferences and journals. The Department is home to the Nature Inspired Computing and Engineering (NICE) group. The group has 10 academics and holds world-leading expertise in evolutionary computation, computational neuroscience, autonomous and self-organising systems, reinforcement learning, Bayesian learning, privacy-preserving machine learning, explainable AI, computer vision, and image and natural language processing. The research group maintains close links with leading industries, the public sector, and governmental bodies, leading to a strong heritage of real-world impact.

The NICE group is a key partner in the new Surrey Institute for People-Centred AI, a major strategic investment bringing together world-leading expertise in fundamental AI theory with cross-university domain expertise to realise and shape AI impact for public good. It is expected that the postholders will play a leading role in this new Institute.

Each successful candidate will have proven success in leading multi-Faculty research proposals and securing funding through collaborative group bids. One postholder will also be considered for the strategic leadership role of the Head of the NICE group. Each postholder will also take an active role in training the ML scientists of the future by leading teaching activities at both undergraduate and postgraduate level within the University’s School of Computer Science and Electronic Engineering.

These are full-time and permanent positions. The postholders will benefit from a dynamic working environment on a leafy campus close to London, with access to world-class leisure facilities nearby. The role brings a substantial salary and generous relocation package, as well as a variety of academic and professional development opportunities.

The qualifications required and job specification is detailed in the job profile. In addition to completing the online application form, please submit:

• A two-page supporting statement on your future research and research leadership plans
• Your CV
• A list of your publications and externally funded research projects (if not included in your CV)

Interviews will be held remotely in September. Positions are available for immediate appointment and the candidates will be expected to start as early as possible after that and no later than March / April 2022.

Our staff and students come from all over the world and the Department is proud of its friendly and inclusive culture. The University and the Department specifically are committed to building a culturally diverse organisation. Applications are strongly encouraged from female and minority candidates. The Department of Computer Science was awarded a Bronze Athena SWAN award, in recognition of our commitment to equality and diversity.

Applicants are encouraged to check the associated role profile for this post. Informal enquiries are welcomed by Dr Mark Manulis (m.manulis@surrey.ac.uk). Otherwise, we look forward to receiving your online application at: https://jobs.surrey.ac.uk/037121 

The Computational Imaging Lab in the Department of Computer Science at Portland State University is hiring a graduate student starting Winter/Spring 2022. This is a fully funded PhD student position and includes a monthly stipend and tuition waiver. The position will be for 1 year, initially, and will be renewed for up to a maximum of 5 years (subject to satisfactory progress and availability of funding).

We are developing next generation cameras and algorithms that can capture images in challenging conditions where conventional cameras struggle: imaging in extremely dark or extremely bright environments, imaging high resolution 3D structures from long distances, and imaging through poor visibility like smoke and fog. We envision a future where such cameras will improve everyone’s quality of life: computer vision systems for autonomous cars that make drivers and pedestrians safer, high-precision cameras for surgical robots, and image sensors that improve accuracy of medical diagnoses.

The ideal candidate will have a Bachelor's degree in CS/CE/EE or a related field, strong communication and writing skills, and a keen desire to solve real-world problems. We are looking for candidates who are strong in some of the areas listed below, and are eager to learn more about areas that aren’t currently their strength:
- Mathematical background in calculus, linear algebra and probability
- Programming experience in Matlab/Python/R, C/C++
- Machine learning experience with libraries like PyTorch or TensorFlow
- Some hands-on electronics prototyping experience (e.g. Arduino)

Computational imaging is a highly interdisciplinary research area. The success of our lab will depend on a truly interdisciplinary team with researchers from diverse backgrounds. We especially encourage students who are historically under-represented in computer science and engineering to apply.This includes but is not limited to women, students with disabilities, socio-economically disadvantaged groups, and first-generation college students.

Portland State University is a public university known nationally for its innovation, community engagement and sustainability initiatives. Its urban setting and its unique relationship to city and regional agencies provides a living laboratory for urban research and industry and government collaboration. The Portland area is home to numerous technology companies including Google, Intel, Apple, Amazon and Nvidia that collectively employ more than 40,000 people.

More details here.

Closing date: open until the positions are filled.

The Gordon Center for Medical Imaging (GCMI) in the Department of Radiology at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) in Boston, MA has an immediate opening at the postdoctoral level to work on research projects related to PET and MR image analysis, image restoration and image reconstruction.

The projects are funded by NIH, aiming to utilize machine learning-based image analysis to improve the diagnosis and progression tracking for Alzheimer’s disease (AD) and Neuroendocrine tumor (NET). The projects are based on cooperation with Harvard Aging Brain Study (HABS) and MD Anderson Cancer Center (MDACC).

Qualifications:

Applicants should have earned a Ph.D. in engineering, statistics/mathematics, physics, neuroscience, or a related field. Strong analytical, quantitative and programming skills as well as proficiency in machine learning are essential. Prior experience with PET/MR image analysis is not required. The successful candidate will have joint appointments at MGH and HMS.

Environment:

The Department of Radiology offers extensive core research facilities, including a new digital time-of-flight PET/CT scanner, brain and whole body PET/MRI scanners, and small animal PET/SPECT/CT systems. Studies on these imaging systems are supported by the MGH Gordon PET Core’s fully equipped blood/radiometabolite processing laboratory, on-site cyclotron, dedicated research radiochemistry laboratories, and a world class GMP radiopharmacy. The Gordon Center maintains a large-scale computing facility for image analysis, network training, tomographic reconstruction, Monte Carlo simulation, and other computationally intensive research applications. The successful applicant can interact collaboratively with a large (140+), growing research group in diverse areas of imaging technology and applications.

The position is available as of February 2021 and the start date is flexible. If interested, please send your curriculum vitae, a cover letter describing your background and research interests, and contact information of three references to Dr. Kuang Gong (kgong AT mgh.harvard.edu).

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)

JOB ID: 543945BRDate posted: Nov. 10, 2020City: OrlandoState: Florida

Description:Lockheed Martin is seeking a Signal/Image Processing Engineer for an exciting Orlando, FL position. The candidate will develop signal processing algorithms for complex RF sensors (passive and active sensors). Effort includes: Sensor algorithm design, integration, and test activities, coordinating sensor algorithm test activities with functional and Program Management. The candidate will also coordinate trade studies using an integrated flight simulation (IFS).

The individual will be responsible for algorithm requirements and related test activities. Experience with common modeling and simulation tools such as MATLAB and C++ is required. Strong communication skills, both orally and written, to support creation of design description documents and presentations is desired. Candidate will support trade studies, presentations, proposals and related activities.

Relocation: Relocation assistance is possible for this exciting position.
The Locale: Orlando is a city in the Central Florida area. This region is a great place to live and to raise a family. Central Florida offers lots of attractive residential housing options. The Greater Orlando metropolitan area is the sixth largest metro area in the southeastern United States. The climate here is warm and sunny all year long for the most part. Orlando is home to Walt Disney World, Universal Studios Florida, and SeaWorld. Orlando is also home to the second largest University in the US, the University of Central Florida (UCF). Where can you get to from Orlando? Orlando is about an hour's drive from Cocoa Beach and the "space coast" to include NASA and the Kennedy Space Center. Tampa is about 1.5 hours from Orlando. West Palm Beach is about 2.5 hours to the south and Jacksonville is about 2 hours to the northeast. Atlanta, GA is 6 hours to the northwest.
Basic Qualifications:
Candidate is a U.S. Citizen and currently holds a DoD Secret clearance with a background investigation within the last 5 years.
Candidate must demonstrate the ability to perform some combination of the following Image and Signal Processing assignments:
• Perform design/analysis of image processing algorithms employing image enhancement, detection and correlation techniques.
• Design algorithms for scene/target signal or image enhancement and scene image correlation for multi-sensor fusion.
• Design EO target discrimination algorithms to meet low false alarm rates with high target detection, recognition, and classification capability.
• Optimize algorithms to meet memory and throughput capabilities of the processing hardware.
• Capture and process flight test data to assess and enhance algorithm performance.
• Verify compliance to customer requirements via simulation, and analysis of test data.
• Work effectively with embedded software engineers to ensure algorithms are appropriately implemented and verified.
• Demonstrate image and signal processing design skills utilizing C++ and MATLAB.
• Demonstrate experience working with MATLAB and C++ simulations using collected data and synthetic data.
• Demonstrate strong math skills used in simulation development experience.

Other Important Information You Should KnowExpression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Telecommute: The work associated with this position will be performed at the designated Lockheed Martin facility. Situational telecommuting may be considered and authorized at the discretion of your leader and based upon the role.Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Schedule for this Position: 4x10 hour day, 3 days off per weekSecurity Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.Clearance Level: Secret with an investigation within 5 yearsLockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.Experience Level: Experienced ProfessionalBusiness Unit: MISSILES AND FIRE CONTROLRelocation Available: PossibleCareer Area: Systems Engineering: OtherType: Full-TimeVirtual Location: noShift: First

Job apply link: https://www.lockheedmartinjobs.com/job/orlando/signal-and-image-processing-engineer-orlando-fl/694/17948081