Postdoctoral Research Associate in Theoretical & Computational Fluid Dynamics

Summary Of Position

As part of a multi-institutional collaborative DOE EPSCoR project, we invite applications for a Postdoctoral Research Associate to develop and implement multiscale modeling and direct statistical simulation ( DSS ) algorithms for the prediction and characterization of marine atmospheric boundary layer ( MABL ) turbulence with application to floating offshore wind energy. The successful candidate will work with Dr. Greg Chini at the University of New Hampshire ( UNH ) and collaborate closely with modeling and simulation research partners at Brown University and Bates College as well as with colleagues at UNH carrying out experimental and field studies of the MABL .

The Postdoctoral Researcher Will

• Contribute to the derivation of reduced PDE models for turbulent flow through floating offshore wind farms using multiscale mathematical methods;
• Lead the development and implementation of multiscale and/or DSS numerical algorithms for the efficient simulation of wind-farm turbulence;
• Perform multiscale numerical simulations using the newly developed algorithms to investigate wind-farm turbulence on scales ranging from meters to tens of kilometers, with a particular focus on the interaction between turbine wakes and ambient turbulence in the MABL under neutrally, stably, and unstably (moist convective) conditions;
• Lead the dissemination of results of the research effort via conference presentations and journal publications.
  
  

Candidates are expected to be highly motivated, capable of independent work, possess strong oral and written communication skills, and have a demonstrated ability to publish high quality papers. Candidates must be experienced theoretical and computational fluid dynamicists, preferably with a background that encompasses hydrodynamic instability phenomena and turbulence in boundary layer flows. The successful candidate will be directly supported by a broad research team spanning New England and will have leeway for scientific exploration and self-directed research.

Additional Job Information

The application package should include a 2-page cover letter, a detailed curriculum vitae, and contact information for three references. In the cover letter, applicants should address how their professional training makes them well-suited for the advertised position and also share their experience or ideas for contributing to an open and inclusive research environment. We are especially interested in qualified candidates who can contribute, through their research and/or service, to the diversity and excellence of the academic community.

The target date for applications is December 11th, 2023, but the search will remain open until the position is filled. Consideration of applications will begin immediately. Please apply directly online at: https://jobs.usnh.edu. Questions should be addressed to: Greg Chini, Professor of Mechanical Engineering, Director of Integrated Applied Mathematics, University of New Hampshire, Durham, NH 03824, USA , [email protected]

Additional Preferred Qualifications

Salary Information

Salary is complemented by a comprehensive benefits package which includes medical, dental, retirement, tuition, and paid time off.

EEO Statement

The University System of New Hampshire is an Equal Opportunity/Equal Access/Affirmative Action employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.