Postdoctoral Research Associate, ML & CV

Duke University Department of Radiology

Durham, NC

Job description

The Postdoctoral Research Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as well as to other tasks related to this research program in order to solve important clinically relevant problems. He/she will work in a thriving research and clinical environment where he/she will be able to interact with researchers as well as clinicians. This appointment will allow for improving the candidate's engineering skills as well as becoming familiar with current health care problems.

About Duke

Duke University School of Medicine is a world renowned institution for biomedical research (2 Nobel laureates in the last 4 years) and patient care. Its Radiology Department is consistently ranked among the best in the country. Currently, we are looking for a Postdoctoral Research Associate with expertise in machine learning/computer vision to participate in a research program focused on development of computational decision and education aids in radiology with focus on computational imaging cancer biomarkers, radiogenomics, and adaptive computer-aided education.

 

Key Qualifications

The candidate for this position will be a highly motivated individual with a track record of academic achievements and a Ph.D. degree (or will be in the process of completing a Ph.D. program) in computer science, electrical engineering, biomedical engineering, biomedical informatics, biostatistics or a related discipline.

Required qualifications include (1) expertise and experience in machine learning or image processing/computer vision, (2) proficiency in computer programming, (3) good verbal and written communication skills, (4) one or more first-author journal papers published or accepted for publication in a good international journal.

Preferred (but not required) qualifications include: (1) experience with analysis of medical images, (2) experience with deep learning, (3) experience with collaborative filtering algorithms, (4) proficiency in statistical analysis, (5) experience with reader studies and eye-tracking.

Career Development Benefits

Duke University is committed to mentoring and supporting young investigators. It offers multiple professional development seminars on topics including preparation of grant applications, academic promotion, presentation skills, writing, alternative career paths and other topics that will prepare the Postdoctoral Research Associate for the future career in academia or industry. Furthermore, he/she will be a part of Carl E. Ravin Advanced Imaging Laboratory and as such he/she will be able to participate in research, development and social activities of the labs. Dr. Mazurowski's laboratory has a strong track record of publications by the trainees (average ~2 first-author publications per postdoc per year) and the trainees of the Mazurowski lab have found strong positions after completing their time in the lab inclusing a tenure-track faculty position in a computer science department outside of Duke and a faculty position at Duke.


Applications

Candidates should send a brief (up to 200 words) cover letter describing why they are a good match for this position and when is the soonest date that they could start the appointment. The applications should also include a CV (including all publications), and names and contact information of three references. Please apply via original position post.

 

Data Sets Being Used

Duke University School of Medicine

 

Selected Links to Published Research

ScienceDirect

European Journal of Radiology

Journal of Neuro-Oncology


Lab Snapshot

Maciej Mazurowski PhD

Maciej Mazurowski PhD, Assistant Professor of Radiology and Electrical and Computer Engineering at Duke University. Faculty in the Duke Medical Physics Program and a member of Duke Cancer Institute.

Research

My main research focus is on applications of machine learning and statistical modeling as well as computer vision algorithms with application in medicine with particular focus on medical imaging and cancer.

Publications

Maciej Mazurowski on Google Scholar


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