Research Scholar
Princeton University
Princeton, NJ
Full-time
Education
Posted on May 28, 2023
Princeton University
The Andlinger Center for Energy and the Environment seeks applications for a net-zero modelling developer and data-scientist at the rank of Research Scholar. This position will liaise with in-country data collection, modelling and downscaling teams formed to work on national Net-Zero studies (e.g. India and others) under the guidance of Senior Scientist Chris Greig. The position will be based outside the U.S. The research scholar will initially focus on the integration of the national datasets collected by the Net-Zero India and Thailand teams into the open-source decarbonization modelling tools that Princeton is currently developing. As each Net-Zero project moves from data-collection to considering the requirements and ramifications of building the infrastructure required to enable modelling outputs, liaison efforts will shift from data integration to supporting in-country downscaling teams. The research scholar will also have opportunities support the development of new Net-Zero projects, assist teams pursuing high-value studies arising from prior Net-Zero projects and support the design of data integration for a Net-Zero Earth. This position will also participate in academic research and publication. Responsibilities include: liaise with in-country India/Thai/other net-zero research teams collecting and preparing data for input into modelling tools; collaborate with ZERO lab staff to oversee the integration of this data in decarbonization modelling tools; develop and manage effective training and support for in-country researchers working with Princeton's open-source software tools; liaise with in-country research teams in the translation of model outputs into downscaling outputs (engineering assessments, maps, public data); and support Net-Zero Earth leadership in the development of future Net-Zero projects, value-add to past projects, and an integration of national Net-Zero data into global net-zero data of use to the wider modelling community. Net-Zero energy system models require a wide range of data, much of which must be collected and pre-processed before it can be used. Successful candidates will have experience: * collecting and preparing economy-wide data for use in national-scale energy system decarbonization models and in overseeing teams working in these areas * cleaning energy sector data from public or government sources * processing data for use across a wide range of geographic aggregations * working with vector and raster geospatial data * translating model results to consider spatially granular and engineering driven considerations of on the ground infrastructure projects * packaging energy systems data for use by a broader community of users * working in development and multi-institution and multi-stakeholder project teams Studies typically run for 3 years. The initial appointment will be for 12 months with expectation of renewal contingent on performance. Start date is July 2023. Successful candidate will have demonstrated, high-level expertise in integration of national data (collection, cleaning, reformatting) for economy-wide energy system decarbonization models, and producting spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder project teams is essential, and international energy development experience desirable. Domain expertise and proficiency with net-zero systems thinking is essential, and experience with Python, Julia, ArcGIS, QGIS, and R is desirable. A PhD degree in computer science, engineering, geospatial information systems or another related field required. This is a senior appointment and the successful candidate will have a minimum of 10 years relevant professional experience. Applicants must apply online at https://www.princeton.edu/acad-positions/position/30381 and submit a CV, cover letter, and contact information for three references. The position is subject to the University's background check policy.
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