Tampere University has several professor positions open related to AI and its applications, covering various areas of signal processing. The positions include a quite substantial starting package, covering funding for multiple research group members. Strong researchers are encouraged to apply! The deadline for applications is 9 March 2025. For more information about the positions, please visit this page.
Tenure-Track Faculty Position in Signal Processing
The Electrical and Systems Engineering department at Washington University in St. Louis invites applications for multiple tenure-track faculty positions with an effective start date on or after July 1, 2025. Candidates should have earned a Ph.D. or equivalent degree in electrical engineering, systems engineering, computer engineering or a closely related discipline. Washington University is a highly-selective national research university with a strong tradition of research excellence. It is nationally known for its student body's exceptional quality and attractive campus, which borders residential neighborhoods and one of the nation’s largest urban parks. Many faculty walk or bike to work. St. Louis combines affordability with a vibrant metropolitan area, offering many cultural and entertainment opportunities.
The University’s strategic plan, released in 2022, seeks growth of top-tier research, scholarship, and creative practice with an emphasis on transdisciplinary and cross-school research. Included in this plan are foci related to applications in medicine, public health, infrastructure, and addressing pressing societal challenges. We seek both junior and senior applicants who will contribute to fundamental and applied research in signal processing and closely related areas. Examples include:
(I) Signal processing and deep learning
(II) Graph signal processing
(III) Audio, speech and image processing
(IV) Signal processing in neuroscience
(V) Statistical machine learning
Successful applicants will have a primary appointment in the department of Electrical and Systems Engineering with the possibility of joint appointments in other departments. The faculty member will be expected to teach undergraduate and graduate courses in electrical and systems engineering, participate in university service, and establish a thriving externally-funded research program. Faculty positions are open for all levels; appointment at a senior rank (associate and full professor) will be considered for exceptional candidates with a distinguished record of achievement in research and teaching.
Candidates should have earned a Ph.D. or equivalent degree in electrical engineering, systems engineering, computer engineering or a closely-related discipline.
Applications should include: (1) a cover letter that identifies the candidate’s three most significant publications and describes their interest in the position; (2) a curriculum vitae; (3) a research plan for the next five years that should not exceed three pages, and should highlight the problem(s) or set of questions to be investigated, the envisioned approach, a mentoring strategy, and the proposed funding sources; (4) a statement of teaching interests and philosophy (not exceeding 2 pages); (5) a statement describing contributions to and future plans for enhancing diversity (not exceeding 2 pages); and (6) a list of at least three references via the link provided at
https://apply.interfolio.com/157328
Priority will be given to completed applications (including submitted reference letters) received before December 15, 2024. However, applications will be accepted at any time and will be considered until the positions are filled. Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those underrepresented in their academic fields. It is the University’s policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or genetic information. Verification of employment eligibility will be required upon employment.
Institute & Lab: The University of Maryland, College Park (UMD or UMCP), was founded in 1856 and is located in the state of Maryland, USA. The university's faculty includes 2 Nobel Prize winners, 4 Pulitzer Prize winners, 58 members of the National Academy of Sciences, and numerous Fulbright Scholars. The A. James Clark School of Engineering at the University of Maryland is ranked among the top 18 engineering schools in the nation, renowned for its innovative education and research programs.
Imaging- and Neuro-computations for Precision Informatics Research (INSPIRE) Lab, led by Dr. Nan Xu, is launching at the A. James Clark School of Engineering. The lab is anchored at the intersection of data science and brain science. We are dedicated to developing advanced computational models and data science approaches to uncover brain function, neurological disorders, and other biological processes. By leveraging multimodal functional neuroimaging data—including fMRI-BOLD, LFP, optical imaging, and MEG—from animal models, healthy individuals, and patients, we decode complex brain activities and diseases. This integrative approach aims to provide groundbreaking insights that advance both fundamental understanding and translational applications in brain science, informatics, and beyond. For more information, visit https://www.inspirelab.site.
Located in A. James Clark Hall, INSPIRE Lab is adjacent to neuroimaging core facilities and is equiping with high-performance computing power. UMD's proximity to government research facilities (e.g., NIH, NSF, DOD, FDA) and world-leading hospitals offers numerous collaboration opportunities. The campus is conveniently located near Washington D.C. and Baltimore, providing diverse living and recreational options.
Role Description: This is a Postdoctoral Associate position at the A. James Clark School of Engineering, funded by the NIH Brain Initiative, specializing in computational modeling. The role focuses on developing statistical, machine learning, and deep learning models, information-theoretic approaches, and other computational tools for neuroimaging data. The successful applicant will lead these efforts while receiving mentorship in research, scientific communication, conference presentations, manuscript writing, and contributing to grant writing. Additionally, the postdoctoral associate will be responsible for training junior trainees and assisting in the maintenance of the lab's computing systems and environment.
The PI of INSPIRE Lab is committed to providing personalized guidance and support tailored to individual goals, while actively promoting Diversity, Equity, and Inclusivity (DEI). Compensation is based on NIH postdoctoral guidelines and includes a competitive benefits and retirement package offered by UMD. The position offers a renewable, annual contract with the expectation of completing 2-3 years of postdoctoral training. The preferred start date is January 2025, though this is negotiable.
Minimum Qualifications:
Preferred Qualifications:
How to Apply: Please assemble the following: 1) a letter of interest/cover letter, 2) CV, and 3) a list of three references. The cover letter should describe your previous experience, interest and expectations for the position, and preferred start date. Email the application as a single PDF file to Dr. Nan Xu (nanxu@umd.edu) with “Postdoc Application - modeling” in the subject line.
The School of Engineering & Applied Science (SEAS) at the University of Virginia (UVa) seeks candidates for a tenure-eligible or tenured position in the Department of Electrical and Computer Engineering. The primary responsibilities for this position include research, teaching, and service to the department, university, and professional community. The appointment rank and compensation will be commensurate with experience and qualifications.
The search is in the general area of neuroimaging, brain function and connectivity, and artificial intelligence, with applications to neuroscience and/or neuro-degenerative disorders. The school is especially interested in candidates who are interested in developing technologies that will enable a comprehensive understanding of the brain. Strategic integration of computational methods such as machine learning, signal processing, network theory, and a focus on application to neurological disorders including autism and Alzheimer’s disease, is desirable.
Example research areas include, but are not limited to
The Electrical and Computer Engineering (ECE) Department at the University of Virginia (UVA offers a vibrant environment for interdisciplinary research and collaboration, with strengths in areas such as machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and energy systems. ECE at UVA emphasizes both foundational and applied research, preparing students for leadership in industry, academia, and government. Faculty members benefit from access to cutting-edge facilities and are encouraged to engage in research that addresses societal challenges. The close proximity with the School of Medicine offers rich opportunities for collaborations in the areas of Radiology, Neurology and Neuroscience, and Neurosurgery. Other collaborative opportunities include Biomedical Engineering, Psychology, and School of Data Science.
The University of Virginia's 2030 plan recognizes the Brain and Neuroscience as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths. In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Brain and Neuroscience across the University. Recruits will receive support from the Provost and from their school and will participate in the Brain and Neuroscience Initiative. This is part of a major Grand Challenges research investment of over $50M in Brain and Neuroscience.
This position is based in Charlottesville at our principal location. UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States, with one of the highest graduation rates in the nation. UVA is situated in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal organizations. More information about the city, the school, faculty benefits and other topics can be found at https://hr.virginia.edu/careers-uva/why-uva.
Candidates must have received a doctorate or equivalent in electrical engineering, computer science, biomedical engineering or related areas by the start of their appointment. Evidence of a commitment to high-impact scholarship, funded research, undergraduate- and graduate-level teaching and advising excellence, professional and university service, and mentoring are expected.
In conjunction with these positions, senior graduate students are eligible and encouraged to consider the UVA Engineering Rising Scholars program. This program is designed to encourage early-career scholars to pursue a career in academia by supporting their postdoctoral work before beginning in a tenure-track position at the University of Virginia. Detailed information and application instructions are available at https://engineering.virginia.edu/rising-scholars-postdoctoral-program.
Apply for this position in Interfolio. Provide the following in PDF format:
You will also request 3-5 references directly in Interfolio by providing names and contact information in the application. These reference requests will be generated immediately once you submit your application.
Review of applications will begin on November 1, 2024 and will continue until the position is filled. The University will perform background checks on all new faculty hires prior to making a final offer of employment.
For questions about these positions, please contact Mathews Jacob, Professor, Electrical and Computer Engineering at mjacob@virginia.edu.
The Signal Processing Research Centre of Tampere University is looking for a tenure track-professor (assistant/associate/full) to join its team of world-class experts. Please see the full description and apply here.
Applications are invited for a fully-funded three year PhD to commence in October 2023.
The PhD will be based in the Schools of Energy and Electronic Engineering and Mechanical and Design Engineering, and will be supervised by Dr John Chiverton, Dr Aikaterina Karali and Dr. Andrea Bucchi.
Successful applicants will receive a bursary to cover tuition fees for three years and a stipend in line with the UKRI rate (£18,622 for 2023/24). Bursary recipients will also receive a £1,500 p.a. for project costs/consumables.
The work on this project could involve:
Project description
This project is a combination of two important and topical fields of research: the exciting world of deep learning based generative neural networks and the simulation of biological materials; specifically the structure and function of cells in their surrounding fibre based cellular matrix structures. New techniques will be created that bridge these interdisciplinary boundaries.
Mathematical models and code will be developed and used to digitally synthesize, at high resolution, 4D synthetic imaging data. The image degradation process for a number of imaging modalities, such as nano-scale X-ray Computed Tomography (XCT) will also be taken into account. Generative deep learning based techniques will be developed in tandem with conventional volumetric image processing techniques.
The work will build on existing techniques in the area of volumetric (3D) image simulation but also techniques based on deep learning for image processing [Chiverton et al]. Co-supervisory expertise will include the areas of bioengineering and microscopic imaging [Karali et al]. This could involve the development of a digital test-bed for the investigation of the role of the surrounding cellular matrix and the effect of its properties on the growth and proliferation of cells as well as the associated algorithmic and model developments.
General admissions criteria
You'll need a good first degree from an internationally recognised university (minimum upper second class or equivalent, depending on your chosen course) or a Master’s degree in an appropriate subject. In exceptional cases, we may consider equivalent professional experience and/or qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.
Specific candidate requirements
Basic knowledge of at least one programming language and an engineering or science based degree is expected.
How to Apply
We’d encourage you to contact Dr John P Chiverton (john.chiverton@port.ac.uk) to discuss your interest before you apply, quoting the project code.
When you are ready to apply, you can use our online application form. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV. Our ‘How to Apply’ page offers further guidance on the PhD application process.
If you want to be considered for this funded PhD opportunity you must quote project code SENE8340723 when applying.
The BSICoS group (Biomedical Signal Interpretation and Computational Simulation) of the University of Zaragoza is looking for a PhD on signal processing and biomedical data. The work is part of a collaboration project with a multinational company in the automotive field, where the objective is the development of methods to quantify the state of the driver. The tasks of the position include the analysis and characterization of the physiological signal recorded in the vehicle, quantifying its quality and validating the biomarkers of interest that it provides. Finally, a validation study will be carried out to measure the state of the driver.
Requirements: Biomedical Engineering PhD or similar (applicants with training in Telecommunications, Computer Science, Electronics and Control, Mathematics or Physics will be considered). Knowledge of signal processing, C, Matlab, Python, as well as a high level of English will be valued.
The BSICoS (Biomedical Signal Interpretation and Computational Simulation) group, from the University of Zaragoza, belongs to the Instituto de Investigación en Ingeniería de Aragón (I3A), the Instituto de Investigación Sanitaria de Aragón (IIS Aragón), and the Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN). The main objective of the group is to increase the impact of ICTs in health applications, through the development of biomedical signals processing methods, guided by physiology, for the personalized interpretation (diagnosis, prognosis and treatment) of diseases and health conditions of cardiovascular, respiratory and autonomic nervous systems.
For more information about the position, contact Eduardo Gil (edugilh@unizar.es) and Raquel Bailón (rbailon@unizar.es).
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
Engineer Mustafa Mumtaz
Email: mustafamumtaz672@gmail.com
Date of Birth:18 December, 1984
Google Scholar Link: http://scholar.google.com.pk/citations?user=tenhlTYAAAAJ
ACM Digital Library Link: http://dl.acm.org/author_page.cfm?id=81456626504
Research Interest:
Digital Image Processing
Biometrics
Telecommunications
Signal Processing
Computer Visiom
Pattern Classification
Artificial Intelligence
Neural Networks
Qualification / Education:
1. Bachelors in Avionics Engineering, National University of Science and Technology, Pakistan 2008
2. Masters in Engineering (Telecommunications), NED University of Engineering and Technology, Pakistan 2018
Projects:
1. Palmprint Based Personal Identification Using Contourlet and Non Subsampled Contourlet Transforms. Algorithm tested on large databases like palmprint database of Poly Tech University of Hong Kong and University of Las Palmas de Gran Canaria, Spain.
2. An alternate way of Non Destructive Inspection of Aircraft Surface through Image Processing.
3. Iris Based Personal Biometric Recognition / Authentication system.
4. Designing Multimodal Biometric System
Travel Grants and conference participation
1. IEEE International Conference on Image Processing (ICIP) sponsored by IEEE Signal Processing Society in Egypt, 2009 for poster presentation of research paper.
2. International Biometric Conference IBC-2014 from 06-11 July, 2014 sponsored by International Biometric Society held in Florence, Italy for poster presentation of research paper.
3. International Conference on Latest Trends in Biotechnology and Biodiversity from 24-26 August, 2015 sponsored by Advancing Science Serving Society (AAAS) held in Dubai, UAE for poster presentation of research paper.
4. ISI World Statistic Congress, Malaysia in August 2019 by International Biometric Society
Membership:-
1. IEEE (2009 - 2013)
2. IEEE Signal Processing Society (2009-2010)
3. IEEE Communication Society 2010
4. Pakistan Engineering Council (www.pec.org.pk) (2013 till date)
5. Optical Society of America (http://www.osa.org/en-us/home/) (2015 to 2019)
6. International Biometric Society (http://www.biometricsociety.org/) (2014 till date)
7. USENIX The Advanced Computing Systems Association (https://www.usenix.org) 2016 till date
Reviewer
1. World Multi Conference on Systemic, Cybernetics and Informatics (WMSCI) in 2010
2. Journal of Systemics, Cybernetics and Informatics (2015 till date) (http://www.iiisci.org/Journal/SCI/JournalReviewers.asp?var=)
Editor
1. Turkish Journal of Electrical Engineering and Computer Science (since 2016)
Weblink: http://journals.tubitak.gov.tr/elektrik/index.htm
Online International Courses undertaken (Certificates Attached)
1. Introduction to Internet of Things (IOT) from Curtin University, Australia, 03 May 2018
Link: https://courses.edx.org/certificates/0ad53599550c41d79f5dc0146fb07c72
2. Introduction to Packet Tracer from Cisco Networking Academy, 07 May 2018
3. IOT (Sensors and Devices) from Curtin University, Australia, 03 July 2018
Link: https://courses.edx.org/certificates/9fe664431d7a4f7597568e531ef09940
4. Introduction to Arduino Programming from Institut Mines Telecom, France, 31 July, 2018
Link: https://courses.edx.org/certificates/b2f17c0485444868bb27e089b5055cd8
5. Introduction to Cyber security from University of Washington, USA , 21 Sep 2018
Link: https://courses.edx.org/certificates/0e84ca7c89b94e1ea04044aa93f1b75c
Publications:
Web link:
Web Link:
4. Mustafa Mumtaz,Atif Bin Mansoor, Hassan Masood, “Directional Energies Based Palmprint Identification using Non Subsampled Contourlet Transform” IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt.
Web link:
www.icip2009.org/Papers/ViewPapers.asp?PaperNum=1611
ftp://ftp.elet.polimi.it/users/Stefano.Tubaro/ICIP_USB_Proceedings_v2/pdfs/0001965.pdf
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5413471
5. Hassan Masood, Mohammad Asim, Mustafa Mumtaz,Atif Bin Mansoor, “Combined Contourlet and Non Subsampled Contourlet Transform Based Approach for Personal Identification using Palmprint” IEEE Digital Image Computing: Techniques and Applications (DICTA 2009), Melbourne, Australia.
Web link:http://www.computer.org/portal/web/csdl/doi/10.1109/DICTA.2009.73
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5384930
6. Atif Bin Mansoor,Hassan Masood, Mustafa Mumtaz, SameemShabbir and Shoab A Khan, “An Evaluation of Wavelet Kernels for Palmprint Based Recognition” in conference of Articulated Motion and Deformable Objects (AMDO 2010), Mallorca, Spain.
Web link: http://www.springerlink.com/content/m21213601j267141/
7. Mustafa Mumtaz,Atif Bin Mansoor, Hassan Masood, “A New Approach to Aircraft Surface Inspection Based on Directional Energies of Texture” International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey
Web link: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5597881
8. Salauh-ud-Din,Atif Bin Mansoor,Mustafa Mumtaz and Hassan Masood, “Directional Energy Based Feature Level Multimodal System using Palm and Fingerprints” in IEEE International Workshop on Emerging Techniques and Challenges for Hand-based Biometrics (ETCHB) in conjunction with International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey.
Web link: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5559282
9. Atif Bin Mansoor, Hassan Masood, Mustafa Mumtaz and Shoab A Khan, “Development and Evaluation of Combined Wavelet Based Palmprint Identification System” in Pakistan Journal of Scientific and Industrial Research (PJSIR), Islamabad, Pakistan. Vol. 53 No. 4
Web link: http://www.pjsir.org/documents/journals/06102010041559_Abstract-53(4)2010.pdf
10. Atif Bin Mansoor,Hassan Masood, Mustafa Mumtaz and Shoab A Khan, “A Feature Level Multimodal Approach for Palmprint Identification using Directional Subband Energies” in Journal of Network and Computer Applications (JNCA) 2010, Vol 34, Issue 1
Web link: http://dx.doi.org/10.1016/j.jnca.2010.08.004
11. Salah-Ud-Din,Atif Bin Mansoor, Mustafa Mumtaz ,RafiaMumtaz, “Bayesian Decision Fusion of Palm and Finger Prints for Personal Identification", Proceedings of the International Conference on Computational Intelligence and Industrial Application, PACIIA 2010, No. -, pp. -, Dec 2010, Wuhan China.
Web link: http://wap.cnki.net/yanshi/acadetail.aspx?type=I&library=CPFDTOTAL&fn=ZNXX201012027059
12. Salah-Ud-Din,Atif Bin Mansoor, Hassan Masood and Mustafa Mumtaz, “Personal Identification using Feature and Score level Fusion of Palm and Finger Prints” in special issue on "Unconstrained Biometrics: Advances and Trends" of the Signal, Image and Video Processing Journal 2011, volume 5, No 3, September, 2011. ISSN: 1863-1703
Web link: http://link.springer.com/article/10.1007%2Fs11760-011-0251-7#page-1
13. WaqarSarwar, RafiaMumtaz, Mustafa Mumtaz, “Accuracy Assessment of Geo-locations Using Multi Resolution Interpolated DEMs” in International Conference on Digital Image Processing (ICDIP 2012), Kuala Lumpur, Malaysia.
Web link: http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1353354
14. Mustafa Mumtaz, Atif Bin Mansoor ,Hassan Masood and RafiaMumtaz, “Computer Aided Visual Inspection of Aircraft Surfaces” Published in International Journal of Image Processing Volume 6 Issue 1 ISSN 1985-2304, 2012.
Web link: http://174.142.16.66/csc/manuscript/Journals/IJIP/volume6/Issue1/IJIP-490.pdf
15. Mustafa Mumtaz, Hassan Masood, Salah ud Din, RafiaMumtaz, “User Psychology and Behavioral Effect on Palmprint andFingerprint Based Multimodal Biometric System” Published in American Journal of Signal Processing 2012, 2(2): 1-9, DOI: 10.5923/j.ajsp.20120202.01
Web link: http://article.sapub.org/10.5923.j.ajsp.20120202.01.html
16. Mustafa Mumtaz, RafiaMumtaz and Hassan Masood, “Evaluation of Different Classifiers using Palmprint Based Personal Recognition in Conjunction with User Psychology Index in Authentication / Recognition Biometrics” In International Biometric Conference IBC, 6-11 July, 2014, Florence, Italy, ISBN-13: 978-0-9821919-3-4
Web link: https://imgsvr.eventrebels.com/ERImg/00/96/52/2452687/35590-2-12118.doc
17. RafiaMumtaz, Phil Palmer, AwaisShibli, Kashif Sharif, Mustafa Mumtaz, "Image based spacecraft pointing using Single Bank Dual Band Registration ", International Journal of Remote Sensing, 19 November, 2014.
Weblink:http://dx.doi.org/10.1080/01431161.2014.968986
18. Mustafa Mumtaz, RafiaMumtaz, Hassan Masood, “Discrete Cosine Transform Based Personal Identification Using Iris Images” Published in“International Conference on Latest Trends in Biotechnology and Biodiversity”, 24-26 August, 2015, Dubai, UAE
Weblink:http://scientificfuturegroup.com/icbb-2015/scientific-programme.php?day=2&sid=10&date=2015-08-25
19. Rafia Mumtaz, Muddasser Hussain, Saba Sarwar, Komal Khan, Sadaf Mumtaz, Mustafa Mumtaz, “Automatic detection of retinal hemorrhages by exploiting image processing techniques for screening retinal diseases in diabetic patients” in Springer International Journal of Diabetes in Developing Countries, Int J Diabetes Dev Ctries DOI 10.1007/s13410-017-0561-6
Weblink: https://link.springer.com/article/10.1007/s13410-017-0561-6
20. Mustafa Mumtaz, “Bayesian Decision Fusion of Palm and Finger Prints for Personal Identification” Published in 62nd ISI World Statistics Congress, 18-23 August 2019.
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.
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
@ieeeSPS
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