Postdoctoral Research Fellow
University of Michigan
How to Apply
https://apply.interfolio.com/175076. Only materials submitted through the Interfolio link will be reviewed. Do not submit materials on this website using any of the apply now links on this page.
Applicants must submit a cover letter describing their scholarly activities and outlining their relevant research experience and skills; a current CV; two examples of completed scholarly work; and names and contact information for three professional references who can speak knowledgeably about scholarly work.
Job Summary
The Institute for Research on Innovation and Science (IRIS) invites applications for a one-year, with potential for renewal for up to an additional three years, post-doctoral position with funding under a new, 4-year R01 award from the National Library of Medicine.
IRIS is an IRB-approved data repository that collects, integrates, warehouses, and makes available both restricted and publicly available data on the social and economic impact of academic research and training. IRIS is directed by Professor Jason Owen-Smith and is housed in the University of Michigan's Institute for Social Research (ISR). ISR is the world's largest academic social science survey and research organization and conducts some of the most widely cited and influential social science research in the field. See iris.isr.umich.edu for more details.
The focus of this post-doctoral research will be research, data analysis, drafting and publishing research articles, and other scholarly outcomes that arise from a four-year project that uses temporal embeddings of large, heterogeneous scientific knowledge graphs to develop and test new measures of innovative potential. The project will also assess how these measures relate to multiple indicators of research impact in biomedical research, with a particular focus on Alzheimer's disease, mental health, and substance use disorders.
The post-doc will be primarily responsible for data management, analysis, writing and dissemination (through presentation and publication) of findings derived from analysis of large scale, time aware knowledge graph representations of science and technology metadata that will be designed and implemented in collaboration with Owen-Smith and other members of the IRIS team. Familiarity and demonstrated expertise with network and computational science methods, science of science research, creation and manipulation of large-scale knowledge graphs, graph and semantic embedding techniques, and/or use of high-performance computing resources in research will contribute to the strength of your application.
Required Qualifications*
- Applicants must have successfully completed a dissertation defense and earned a Ph.D. before beginning the fellowship. Fellows will be part of the IRIS research team and will report directly to IRIS Executive Director Jason Owen-Smith.
- Ph.D. in Social Science or statistics fields, Information Science, Data Science, Engineering, Applied Mathematics or a related field
- Demonstrated success in designing and completing high quality academic research projects
- Experience with network and computational science methods for large scale data analysis
Desired Qualifications*
- Familiarity with knowledge graph/heterogenous network data structures and their manipulation
- Demonstrated expertise in the application of HPC resources for scientific computing
- Experience with Graph and text embedding tools
- Research experience using inferential statistical methods with particular applications to panel and limited dependent variable data
- Expertise relevant to US federal science policy and research funding procedures
Work Locations
This position will be on-site at the University of Michigan offices in Ann Arbor, with flexible scheduling and remote opportunities made available within our overall Center policies. If relocation is required, we will allow for reasonable time and flexibility to make necessary arrangements.
Applicants are expected to work on premise at the IRIS offices in Ann Arbor, Michigan, which are located in the Institute for Social Research on the University of Michigan campus. Occasional travel to attend research group meetings or conferences may be required. Virtual work will be required (or allowed) in accordance with state, local and university policies.
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
The statements included in this description are intended to reflect the general nature and level of work assigned to this classification and should not be interpreted as all-inclusive.
This is a one-year appointment (renewable for up to an additional three years depending on continued funding and satisfactory performance) with a $70,000 - $75,000 salary range.
The Institute for Social Research (ISR) at the University of Michigan seeks to create a community of respect and authentic collaboration by recruiting and retaining individuals that represent a variety of voices as a reflection of our commitment to serve the people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.
Benefits
University of Michigan benefits include twenty-two (22) days of paid vacation annually in addition to time off during University holidays observed during the appointment period, and up to three (3) weeks of paid absence for personal illness, childbirth (if not eligible for maternity (childbirth) leave), childcare, injury, and family care. A description of postdoctoral research fellow benefits at the University of Michigan is available here: https://hr.umich.edu/working-u-m/my-employment/academic-human-resources/benefits-postdoctoral-research-fellows.
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
Institute for Social Research job openings are posted for a minimum of fourteen (14) calendar days. This opening may be removed from posting boards and filled any time after the minimum posting period has ended. Review of applications will begin immediately and continue until the position is closed or filled.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.