Postdoctoral Research Fellow - Geoff Parker's Project

The Irving Institute for Energy and Society at Dartmouth College is dedicated to driving progress towards an affordable, sustainable, and reliable energy future for the betterment of society. The Institute invites applications for a two-year Postdoctoral Research Fellowship that will focus on data sharing and trading among large organizations, with an emphasis on manufacturing and logistics. The Postdoctoral Research Fellow will collaborate with Professor Geoffrey Parker, Faculty Director for the Irving Institute. The research project is being launched in the context of growing interest in “Data Spaces.” The increased use of data is critical for organizations to develop the necessary models and control systems to meet their goals for emissions reductions as well as operational cost improvements.

Research will be conducted as marketplace design, platform governance design, testing of business models, as well as case studies of actual projects among participating organizations and firms. Output will include both theoretical development and practical application. Research may also inform industrial practice and government policy.

The project will involve the productive use of generative AI tools that require vast amounts of training data that is unlikely to reside within a single organization. The goal for this project is to work with organizations to deploy AI/ML tools using shared data for operational improvement as a mechanism to develop insights into which information governance regimes create the most value for participating organizations.

Salary and Term Information

This is a two-year research position with potential extension (up to 36 months), subject to funding availability, beginning 1 June, 1 July, 1 August or 1 September, 2024. The Research Fellow will receive an annualized salary of up to $75,000 (paid in monthly installments) plus benefits, $5,000 annually to support computing, travel and research needs, and office space with access to other research needs or equipment.

Applicants must have completed a Ph.D. in Computer Science, Economics, Management Science, Statistics, or equivalent field no earlier than January 1, 2022, and must have their degree in hand by June 30, 2024.

Minimum selection criteria include (1) experience in the literature on economics of information, digitalization, platforms, two-sided networks, industrial information systems, use of generative AI, and decentralized digital architectures; (2) extensive experience in data processing, data science, behavioral science, and econometrics; (3) strong English verbal and written communication skills; (4) strong interpersonal skills and ability to work in collaborative environments, including with stakeholders and other non-technical parties (e.g., industry executives).

We are especially interested in applicants with (1) experience working at or with private sector organizations; (2) experience in translating research findings to implications relevant for businesses, communities, or policy makers; (3) knowledge of or experience in identifying and responding to funding opportunities (i.e. grant writing).

Application evaluation will begin on Monday, March 4, 2024 and continue until the position is filled. A complete application packet consists of the following: 

1. Personal statement (1,500 words). Outline your scholarly agenda, including: completed research (including dissertation), and any other information related to your professional goals.

2. Curriculum vitae.

3. Three professional references with contact information.

4. Relevant transcripts from graduate studies.

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of sex, race, color, religion, age, disability, status as a veteran, national or ethnic origin, sexual orientation, gender identity, gender expression, or any other category protected by applicable law, in the administration of its educational policies, admission policies, scholarship and loan programs, employment, or other school administered programs. Applications by members of all underrepresented groups are encouraged. 

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