Postdoctoral Scholar in Deep Learning & Medical Imaging Position

The computational medicine lab led by Dr. Pratik Shah at UCI invites applications for a Postdoctoral Scholar position from outstanding Ph.D., MD or foreign equivalent applicants with strong academic computer science and informatics research backgrounds.
The lab is interested in developing novel AI-based medical imaging technology for digital biopsies. Recent research studies were published in Cell Reports Methods, Nature Digital Medicine, Cell press, IEEE machine learning conferences, Journal of American Medical Association, and Proceedings of National Academies of Science Engineering and Medicine workshops. Visit our websites for more information about the lab: https://faculty.sites.uci.edu/pratikshahlab/; https://www.pratiks.info/publications/all/
Applicants experienced in solving critical challenges in medical data validation methods, training AI models for enabling diagnostic tests, their replicability, and proof of their clinical utility will be given preference. The scholar will be trained to develop and interpret generative deep neural networks (DNNs) for automating tissue-based analyses, interrogating basic biological features and proximity relationships between tissue constituents for digital biopsies. Responsibilities include managing, processing and visualizing high-parameter medical images (e.g., pathology, MRI, CT, RGB etc.), associated clinical labels, and molecular profiles for training, validation, and interpretations of interpretable DNNs. Opportunities to publish in leading biomedical journals and machine learning conferences, networking with government funding agencies, industry partners, foundations, and academic experts. Training in fellowship writing, teaching/mentoring, oral presentations and review of manuscripts will be provided.
Substantive inquiries about the position should be directed to:
Pratik Shah PhD
Assistant Professor of Pathology and Laboratory Medicine
UC Irvine, School of Medicine
pratik.shah@uci.edu

Interested candidates should complete the application profile and provide a CV, cover letter including career motivation and why you are interested in joining the lab and an Inclusive Excellence Activities Statement. Guidance for Writing Inclusive Excellence Activities Statement - Academic Personnel (uci.edu)

Initial appointments are for two years & renewal is based on performance and available support.

Application Procedure - TO APPLY: Please log onto UC Irvine's RECRUIT located at: https://recruit.ap.uci.edu/JPF08836

Department: https://www.pathology.uci.edu/

QUALIFICATIONS

Basic qualifications
* Appointment as a Postdoctoral Scholar requires a doctoral degree (e.g., Ph.D., MD) or the foreign equivalent in computer science, biomedical engineering or statistics

Preferred qualifications (at time of application)
* In-depth knowledge of theory and applications of computer vision, and statistical machine learning in image processing
* Previous experience in leveraging deep learning libraries (e.g., OpenCV, Theano, Caffe, Keras and TensorFlow) and machine learning datasets and model inference from AlexNet, ImageNet, MNIST, etc.
* Experience in writing software in a team-oriented environment with version control, issue tracking, and code review with Python (Scikit-Learn Numpy, and Pandas), MATLAB and C
* Track record of writing and publishing research papers in peer-reviewed journals or top machine learning conferences
* Strong analytical and organizational skills; detail-oriented
* Committed to mentoring others

A reasonable estimate for this position is $64,480-$77,327. See Postdoctoral Scholar - Fiscal Year Rates "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.

Appointment as a Postdoctoral Scholar requires a doctoral degree (e.g., Ph.D., MD) or the foreign equivalent in computer science, biomedical engineering or statistics

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.