Postdoctoral Fellow in Environmental Studies Clean Energy Policy and Generative AI
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Job Location:
Hanover, PA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
This position offers the opportunity to develop and test new methods and tackle critical challenges in clean energy transitions. It is partially supported by grants connecting social science computer science and energy-policy expertise. The fellow will create and evaluate approaches that use large language models (LLMs) to scale qualitative analysis of policy regulatory legal and stakeholder documents in replicable ways. These methods will be applied to contested clean energy areas such as offshore wind transmission and battery storage.
The fellow will be advised by Professor Elizabeth J. Wilson working closely with Simon Stone from Dartmouth Research Computing and partners at DTU Wind in Denmark. The team emphasizes open collaborative and actionable research on real world energy challenges.
Dartmouth is a research-intensive Ivy League university with graduate programs in the sciences engineering medicine and business. Postdoctoral scholars are supported by the Guarini School for Graduate and Advanced Studies including their community initiatives. Dartmouth as a whole is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds life experiences and perspectives and believes that diversity in all its forms enhances academic addition we value applicants who have a demonstrated ability to contribute to Dartmouths initiatives in undergraduate research such as Early Research Access in the Sciences the EE Just Program and the Academic Summer Undergraduate Research Experience. Applicants should address in their materials how their research teaching service and/or life experiences prepare them to serve Dartmouths commitment to academic excellence in an environment that is welcoming to all.
Major Duties/Responsibilities
- Conduct research at the intersection of energy governance and computational social science focusing on LLM enabled qualitative analysis.
- Design and test GenAI workflows for tasks such as corpus building document review coding and synthesis.
- Analyze large scale text corpora (e.g. policy filings environmental reviews stakeholder comments news).
- Collaborate with an interdisciplinary team; contribute open reproducible research outputs (code datasets).
- Publish in peer reviewed journals and present at conferences.
- Mentor and coordinate Dartmouth student researchers.
- (Optional) Co-teach up to one course per year on energy and environment topics.
Research Themes
- Governance and institutions in clean energy transitions.
- Energy conflict and discourse: combining LLMs and qualitative methods to analyze public comments press releases and media.
- Method development: reliability bias assessment corpus construction and human-AI collaboration protocols.
Salary & Benefits
This position is full-time non-remote in-residence at Dartmouth in Hanover NH with start date as early as January 2026. The initial appointment will be for one year with possibility of renewal pending funding and performance. Salary is competitive and commensurate with experience following Dartmouth postdoctoral guidelines. Dartmouth offers a comprehensive benefits package for postdoctoral scholars.
Required
- Ph.D. in a relevant field (e.g. computer science data science geography quantitative social science) or ABD with degree received by the start date.
- Demonstrated experience applying LLMs/GenAI in research or practice such as retrieval-augmented generation (RAG) function calling and agent orchestration.
- Proficiency in Python or R and familiarity with coding using computer clusters and Linux servers
- Strong analytical writing and communication skills.
- Interest in stakeholder-engaged transdisciplinary research.
Preferred
- Research experience in energy policy/governance and qualitative methods.
- Experience with natural language processing (NLP) and data science methods such as multimodal vector embeddings state-of-the-art similarity search and end-to-end retrieval pipelines.
- Experience with hierarchical/statistical models.
- Evidence of research success (publications preprints or open research products).
Applicants are encouraged to apply even if they do not meet every qualification as training can be provided for certain areas of responsibility.
Key Skills
- Virology
- Bioinformatics
- Genetics
- R
- Biochemistry
- Cell Biology
- Research Experience
- Spectroscopy
- Cell Culture
- Molecular Biology
- Microscopy
- Research Laboratory Experience
About Company
Dartmouth is located in the neighboring towns of Hanover and Lebanon in the picturesque Upper Connecticut River Valley on the NH and VT border. Dartmouth is surrounded by a vibrant, academic and professional community offering excellent schools, lively arts, and an unmatched quality o ... View more
