Field of Interest:astro-ph, cond-mat, cs, gr-qc, hep-ex, hep-lat, hep-ph, hep-th, math, math-ph, nucl-ex, nucl-th, physics.acc-phys, physics.ins-det, physics-other, quant
Deadline: 2016-10-11
Region: North America
Job description:
Inverse Problems in Multi-modality Imaging and Microscopy:
Postdoctoral fellowships/Research Scientist positions are open at the University of Houston (UH), Houston, TX. Successful candidates will work collaboratively in the Physics and Engineering departments at UH on inverse problems pertaining to novel x-ray and optical methods with application to medical and biological problems. You will have the opportunity to embark on a promising career path gaining experience in applying mathematical and computational methods for applications like cancer imaging and fast microscopy.
Problems of special interest will include use of spectral detection data in formulating efficient imaging solutions, solving experimental hurdles by using new analytical methods and algorithms with innovative imaging geometry and multi-modality setting (like optical and x-ray, x-ray and ultrasound) and Monte Carlo simulations for novel imaging geometry.
Applications of our research/methods developed span areas of material science, defense and security, medical/biological applications, chemical imaging and geophysics thus offering a wide array of opportunities/career paths for individuals trained in our group.
Position 1: Analytical, Applied Mathematics and Computational Research – Requires strong mathematical, analytical and computer programming skills. Prior experience in at least some of the following are essential - imaging (x-ray, optical or ultrasound), inverse problems, analytical methods, applied mathematics, high performance computation, tomographic image reconstruction algorithms, hyperspectral imaging, Monte Carlo simulations, quick prototyping for new ideas. Technical skills required: C/C++, Linux platform as well as shell scripting. Familiarity with Geant4, Matlab, IDL, root or python desirable.
Position 2: Experimental Research – Benchtop prototype development for x-ray and optical imaging (microscopic or macroscopic). Benchtop system design, electronics and instrumentation along with strong data analysis skills are essential. Prior experience with photon counting detector platform, Medipix/Timepix detector platform is added advantage. Experience with C, Matlab, IDL or python desirable.
Both positions require a PhD in Physics, Engineering, Applied mathematics or Computer Science. Excellent oral and written communication skills are essential along with a track record of academic excellence. Interested candidates should send a copy of their CV, statement of research interests along with the names and addresses of three references to Dr. Mini Das (email: mdas@uh.edu web: www.ipl.uh.edu).
Competitive salary and benefits commensurate with experience. Both projects involve collaborations with CERN, national labs, industry and clinical researchers.
The University of Houston is an equal opportunity employer.
Deadline: 2016-10-11
Region: North America
Job description:
Inverse Problems in Multi-modality Imaging and Microscopy:
Postdoctoral fellowships/Research Scientist positions are open at the University of Houston (UH), Houston, TX. Successful candidates will work collaboratively in the Physics and Engineering departments at UH on inverse problems pertaining to novel x-ray and optical methods with application to medical and biological problems. You will have the opportunity to embark on a promising career path gaining experience in applying mathematical and computational methods for applications like cancer imaging and fast microscopy.
Problems of special interest will include use of spectral detection data in formulating efficient imaging solutions, solving experimental hurdles by using new analytical methods and algorithms with innovative imaging geometry and multi-modality setting (like optical and x-ray, x-ray and ultrasound) and Monte Carlo simulations for novel imaging geometry.
Applications of our research/methods developed span areas of material science, defense and security, medical/biological applications, chemical imaging and geophysics thus offering a wide array of opportunities/career paths for individuals trained in our group.
Position 1: Analytical, Applied Mathematics and Computational Research – Requires strong mathematical, analytical and computer programming skills. Prior experience in at least some of the following are essential - imaging (x-ray, optical or ultrasound), inverse problems, analytical methods, applied mathematics, high performance computation, tomographic image reconstruction algorithms, hyperspectral imaging, Monte Carlo simulations, quick prototyping for new ideas. Technical skills required: C/C++, Linux platform as well as shell scripting. Familiarity with Geant4, Matlab, IDL, root or python desirable.
Position 2: Experimental Research – Benchtop prototype development for x-ray and optical imaging (microscopic or macroscopic). Benchtop system design, electronics and instrumentation along with strong data analysis skills are essential. Prior experience with photon counting detector platform, Medipix/Timepix detector platform is added advantage. Experience with C, Matlab, IDL or python desirable.
Both positions require a PhD in Physics, Engineering, Applied mathematics or Computer Science. Excellent oral and written communication skills are essential along with a track record of academic excellence. Interested candidates should send a copy of their CV, statement of research interests along with the names and addresses of three references to Dr. Mini Das (email: mdas@uh.edu web: www.ipl.uh.edu).
Competitive salary and benefits commensurate with experience. Both projects involve collaborations with CERN, national labs, industry and clinical researchers.
The University of Houston is an equal opportunity employer.
