Postdoctoral Research Fellow Institute for Research on Innovation and Science

University Of Michigan-Ann Arbor

Job Location:

Ann Arbor, MI - USA

Monthly Salary: $ 70000 - 75000

Posted on: Yesterday

Vacancies: 1 Vacancy

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 andmakes available both restricted and publicly available data on the social and economicimpact of academic research and training. IRIS is directed by Professor Jason Owen-Smith and is housed in the University of Michigans Institute for Social Research (ISR).ISR is the worlds largest academic social science survey and research organizationand conducts some of the most widely cited and influential social science research inthe field. See for more details.

The focus of this post-doctoral research will be research data analysis drafting andpublishing research articles and other scholarly outcomes that arise from a four-yearproject that uses temporal embeddings of large heterogeneous scientific knowledgegraphs to develop and test new measures of innovative potential. The project will alsoassess how these measures relate to multiple indicators of research impact inbiomedical research with a particular focus on Alzheimers disease mental health andsubstance 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.

Salary and Benefits:

This is a one-year appointment (renewable for up to an additional three years depending on continued funding and satisfactory performance) with a $70000$75000 salary range.

University of Michigan benefits include twenty-two (22) days of paid vacation annually inaddition to time off during University holidays observed during the appointment periodand up to three (3) weeks of paid absence for personal illness childbirth (if not eligiblefor maternity (childbirth) leave) childcare injury and family care. A description ofpostdoctoral research fellow benefits at the University of Michigan is available here: must have successfully completed a dissertation defense and earned aPh.D. before beginning the fellowship. Fellows will be part of the IRIS research teamand will report directly to IRIS Executive Director Jason Owen-Smith.

Anticipated Start Date:On or about November 1 2025 or as negotiated.

Required Qualifications:

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

Salary and Benefits:

This is a one-year appointment (renewable for up to an additional three years depending on continued funding and satisfactory performance) with a $70000$75000 salary range.

Anticipated Start Date:On or about November 1 2025 or as negotiated.

Required Qualifications:

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