RESEARCH FELLOW

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How to Apply

A cover letter address to Dr. Hollon is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Summary

The Machine Learning in Neurosurgery (MLiNS) Laboratory in the Department of Neurosurgery at the University of Michigan studies how machine learning and artificial intelligence can be used to improve the diagnosis and treatment of patients with neurosurgical diseases. We work at the intersection of AI, biomedical research, and clinical medicine. The applications of AI in medicine have grown tremendously over the previous decade. AI systems are now used for early cancer detection, computer-aided diagnosis, automated tumor localization, and personalized treatment recommendations. Our team aims to translate the latest advances in AI, machine learning, and computer science to improve the diagnosis and treatment of patients with neurological and neurosurgical diseases.

The MLiNS lab has an immediate opening for a Postdoctoral Researcher who will be responsible for data management, machine learning pipelines, and software development to investigate the role of AI-based computer vision methods on optical and radiologic images. Our laboratory focuses on (1) intraoperative imaging with label-free optical microscopy and (2) neuro-imaging such as computed tomography (CT) and magnetic resonance imaging (MRI). The position will include training medical foundations models using vision-language modeling and self-supervision to solve a wide range of downstream diagnostic and predictive tasks.  These models will be tested in a clinical setting to improve the diagnosis and treatment of brain tumor patients. The candidate will be an essential part of our team due to the increasing importance of high-quality data for developing ML models and making new scientific breakthroughs. The candidate will work with a team of data scientists, postdoctoral/doctoral students, medical students, and research scientists to generate and publish high-impact machine learning research.

 **Details of our laboratory and research can be found at our lab website here .

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems.  In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.

What Benefits can you Look Forward to?

• Excellent medical, dental and vision coverage effective on your very first day
• 2:1 Match on retirement savings

Responsibilities*

• Collection, curation, and maintenance of medical imaging datasets
• Preprocessing optical and radiologic imaging data
• SQL-based database development for clinical, pathologic, and radiologic data
• Data quality assurance
• Training computer vision and large language models on biomedical datasets
• Validation/testing of models on multi-institutional datasets
• Communicate results via publications, conference proceedings, and academic conferences

Required Qualifications*

• PhD or higher in Computer Science, Data Science, Computer Engineering, Biomedical Engineering, Bioinformatics or related fields.
• Expertise in Python programming
• Proficiency in Linux, Bash, SQL, Git
• Proficiency with high-performance computing, including SLURM
• Proven track record of executing data science projects
• Ability to work effectively with a team of scientists and students

Desired Qualifications*

• Experience with machine learning/deep learning and computer vision techniques
• Experience in medical image analysis of 2D or 3D image data
• Publications in top AI conferences (CVPR, NeurIPS) or biomedical journals (Nature, Nature Medicine)
• Knowledge of the UM computing environment

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.