How to Apply

• Cover letter: Describing your research achievements and why you think you are the right candidate to fill this position (max. 1 page)
• Curriculum vitae including the list of publications
• At least the names and contact details of two references

Summary

The focus of this position is on helping our team in developing clinical decision support systems for cerebral aneurysm detection and rupture prediction. We are specifically seeking a candidate with experience in handing multimodal data and hands-on experience of neurosymbolic architectures. You'll tackle real-world healthcare and biomedical challenges through innovative machine learning solutions. Collaborate with experts in neuroscience, engineering, and medicine at the University of Michigan-Flint and collaborating institutes.

Responsibilities*

• Design and develop clinical decision support systems (CDSS) tailored for cerebral aneurysm detection and rupture prediction.
• Utilize expertise in handling multimodal data sources, integrating various types of medical imaging and patient structured and unstructured data
• Implement neurosymbolic architectures to enhance the accuracy and interpretability of the decision support systems
• Conduct research and experimentation to optimize machine learning algorithms for clinical management of cerebral aneurysm management.
• Collaborate closely with interdisciplinary teams comprising neuroscience, engineering, and medical experts from the University of Michigan-Flint and partner institutions
• Participate in regular meetings and discussions to exchange ideas, provide updates on project progress, and solicit feedback for continuous improvement
• Document methodologies, results, and findings in technical reports and academic publications for dissemination within the scientific community

Required Qualifications*

• Master degree in Computer Science or a related field with interest in multimodal medical data processing and deep learning with a track record publications at top-tier conferences and/or high-impact journals in the field
• Strong knowledge in Machine/Deep Learning with experience in multimodal AI, federated learning, and Neuro-symbolic AI
• Excellent programming skills in Python and PyTorch
• One year of professional research experience

Work Schedule

Appointment will begin May 1 and continue until the end of the summer semester.

Additional Information

University of Michigan-Flint - Plan for Diversity, Equity and Inclusion

The University of Michigan-Flint's DEI plan can be found at: https://www.umflint.edu/dei/?

The University of Michigan-Flint exhibits its commitment to diversity, equity, and inclusion through enacting fair practices, policies, and procedures particularly in support of the equitable participation of the historically underserved. UM-Flint recognizes the value of diversity in our efforts to provide equitable access and opportunities to all regardless of individual identities in support of a climate where everyone feels a sense of belonging, community, and agency.

Diversity is a core value at University of Michigan-Flint. We are passionate about building and sustaining an inclusive and equitable working and learning environment for all students, staff, and faculty. The University of Michigan-Flint seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the University, and to offer our students richly varied disciplines, perspectives, and ways of knowing and learning for the purpose of becoming global citizens in a connected world.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

Application Deadline

Job openings are posted for a minimum of three calendar days. The review and selection process may begin as early as the fourth 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.