美国休斯顿大学博士后职位—定量多模态医学成像

美国休斯顿大学博士后职位—定量多模态医学成像

休斯敦大学（University of Houston），简称UH，属于研究型大学。该校学科涵盖以下领域：自然科学、经济、法律、工程学、管理学、环境、建筑、教育、旅游、农林、艺术、体育、新闻传播、信息科学、医学、语言等。休斯敦大学是美国得克萨斯州休斯敦的公立大学，位于休斯敦市中心东南区。在1927年3月7日创立，拥有近44000名学生，是得克萨斯州的第三大学府。卡内基学术基金会将UH评为“具有最高研究活动的博士学位授予机构”。2021年QS美国大学排名中排名第66位。

Postdoctoral/Senior Research Scientist-X-ray, photon counting, CT, phase contrast, PET, SPECT, Image Science, Psychophysics, Image quality, Multimodality

University of Houston

Job Description

PhD and Postdoctoral positions (multi-year positions with opportunities for career development to be independent investigators) are available in the Das Laboratory Candidates from all areas of science and engineering with relevant experience are welcome to apply. Contact Prof. Das (mdas@uh.edu) for additional information.

1) X-Ray CT or Optical Phase Contrast, Photon Counting Detectors, Spectral CT, Quantitative Multi-modality Imaging (PET/SPECT/US/MRI/Optical/Thermal)

We will develop the science and engineering principles to advance X-ray optics and imaging along with quantitative and multi-parametric information from multi-modality and advanced imaging systems.

NIH-funded projects on benchtop experimental/ prototype imaging system development and algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation.

Experience preferred: X-ray CT, phase contrast and phase retrieval, photon counting detectors, image reconstruction methods, multimodality platforms (including any of the following: PET, SPECT, MRI, US, Optical, Thermal imaging), phantom or small animal imaging, quantitative imaging, imaging biomarkers, radiomics. Both experimental and

computational positions available.

Skills preferred include any of these: Monte Carlo simulations, benchtop and prototype imaging system design,

Excellent programming skills, Medipix/Timepix detectors, analytical models, forward, and inverse problems, and prototype system development for clinical translation.

2) Image Science, Psychophysics, Perception, Eye-Tracking, Image Texture

Computational methods assess image quality from the perspective of benefiting human observers' (like radiologists) ability to detect and classify signals in complex biomedical images. This includes eye tracking studies, working with simulated and clinical data, understanding optimal system design through task-based assessment (ROC, LROC studies), and image texture analysis using second-order statistical texture features. Our recent work also examines developing models for visual and optical illusions that might enhance signal detection in complex images.

Necessary skills: Programming, careful data analysis, high-performance computing, shell scripting (c, bash), medical imaging

Candidates with a recent PhD or those anticipating Ph.D. (all relevant areas of science and engineering) in the upcoming year are encouraged to apply for the postdoctoral positions. Opportunities exist for working with industrial and clinical collaborators as well as in developing creative and independent future career paths. Candidates are expected to work closely with graduate and undergraduate students. Those with extensive publications and research experience will also be considered for senior research positions. Please contact Prof. Mini Das (mdas@uh.edu) directly with your CV and briefly describe your research interests and goals in the email.

3) Collaborative Project and Joint Positions with Gifford Lab (UH)

We are collaborating with Dr. Howard Gifford in developing mathematical models for observer variability. For this collaborative project please contact Das (mdas@uh.edu) and Gifford (hgifford@uh.edu)

Description for Gifford R01: The position is funded by a new NIH R01 grant with the objective of developing low-resource statistical models that can reliably mimic the performance of expert readers in imaging trials involving complex target detection and estimation tasks. Models that can operate with relatively sparse training requirements would be useful in the evaluation of diagnostic imaging technology at all stages of development and application. Our project is principally focused on problems in radiography (CT, DBT) and nuclear medicine.

Funding support is available for multiple years for all levels and with a flexible start date. These positions offer competitive salaries and benefits. The salary range is based on qualifications, publications, and relevant experience. Our lab website is at https://sites.google.com/nsm.uh.edu/ipl/home .

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