Job Description

How to Apply

A cover letter is required for consideration for this position and should be included 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.

Job Summary

Please note: This is a term-limited position funded for two (2) years. Renewal may be possible if continued funding is available.

The Michigan Institute for Data and AI in Society (MIDAS) seeks a Research Manager to support our research programs, especially to develop and manage a new AI Incubator. MIDAS is an organization under the University of Michigan Office of the Vice President for Research. Our mission is to advance research in data science and artificial intelligence (AI), and enable their transformative use in a wide range of research disciplines to achieve lasting scientific and societal impact. We lead strategic thrusts in data science and AI research; enable collaborative grants, provide research training, and build research resources. Through these approaches, we facilitate the development of cutting-edge methods and the application of these methods to important problems in all research disciplines. We foster a world-class data science and AI research community at U-M and promote its diversity, equity and inclusion. We also build coalitions with academia, industry, government and the community, and support the use of data and AI for positive social change. The new AI Incubator is a significant effort to help researchers across domains adopt AI to enable research breakthroughs.

The culture of the MIDAS core team is one that strives toward shared goals through collaboration, creativity, initiative, and excellence. The ideal candidate will be a team player who is willing to take initiative, thinks out of the box, and enjoys a fast-paced environment.

Responsibilities*

The Research Manager will provide scientific and technical expertise to support researchers across the campus to adopt data science and AI methods in their research, facilitate the development of research teams and projects, and support major research projects. Specifically: 

Develop demonstrations of AI tools for research and guide researchers to adopt such tools

Provide consultation to researchers on applying AI methods in domain research 

Develop guidelines and collect resources for the use of AI in domain research 

Support the development of major grant proposals led by MIDAS or our faculty collaborators

Participate in research, training and capacity development projects as a technical contributor, based on the interest and skills of the candidate and the needs of the projects 

Communication and Administrative: 

For MIDAS research and related activities, collect data and assist in evaluation in order to assess program effectiveness, develop contents for reports; 

Develop scientific content for website and newsletter, promotional materials and other forms of dissemination.

Required Qualifications*

PhD degree in a data science / AI related field; 

Two or more years of post-doctoral interdisciplinary research experience that uses data science and AI methods to advance domain science; 

Experience in developing interdisciplinary research projects and collaborations; 

Experience in organizing local and national research incubation events and workshops; 

Experience in teaching, mentoring and providing research consultation; 

Professionalism, strong work ethic, demonstrated sense of responsibility, discretion and reliability. 

Ability to set priorities, exercise initiative, solve problems, adapt to changes quickly, make independent judgments, and work effectively both independently and collaboratively as part of a team;

Excellent written and verbal communication skills; timely and consistent communication and follow-through with the leadership, the team and stakeholders; 

Strong interpersonal skills and the ability to drive consensus; 

Strong organizational skills and attention to detail; 

Demonstrated computer literacy in common Microsoft Office software (Word, Excel, and PowerPoint), Google Suite (Gmail, Calendar, and Drive) and the ability to learn specialized software.

Desired Qualifications*

Strong publication record and grant application experience; 

Broad interest in data science and AI and their application domains; 

Familiarity with the U-M research environment and research community.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Additional Information

This is a term-limited position funded for two (2) years. Renewal may be possible if continued funding is available.

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 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.

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