Computer Science Research Assistant - Temporary

We are seeking a Computer Science researcher to work with the Energy Systems Analysis Group in the Andlinger Center for Energy and the Environment to convert a thesis study into a submission-ready journal article for a leading energy or interdisciplinary journal. The role is designed for the opportunity to translate a strong thesis into a high-impact academic publication.

The thesis develops CADENCE (Capital-Aware Deployment of Energy Networks with Coordinated Estimation), an extension of Princeton’s Net-Zero X framework. It introduces a computational approach—using a Directed Acyclic Graph and Critical Path Method—to incorporate real-world deployment frictions, including interdependencies, capital discipline, stochastic timelines, and project abandonment. The results highlight how coordination and sequencing constraints can materially limit clean energy deployment.

Working closely with Senior Research Scientist Chris Greig, the researcher will refine the thesis into a concise and compelling journal manuscript. This includes restructuring the narrative, sharpening the statement of novelty and contribution, tightening the methodological exposition, and improving the presentation of results and figures. Limited additional analysis may be undertaken to address robustness and anticipated reviewer questions.

This is a short-term, intensive collaboration with clear co-authorship and submission goals, suited to a candidate interested in research, publication, or graduate study. The position may be remote.

All candidates must have a strong related research background and enjoy working in teams.

Work pays $21.00/hour

Be advised that you will be contacted only if there is further interest in your application. Your candidate dashboard may not display status updates for this requisition.

Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

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