Postdoctoral Research Associate

Postdoctoral Research Associate

About Northeastern:
Founded in 1898, Northeastern is a global research university and a world leader in experiential learning. The same commitment to connecting with the world drives our use-inspired research enterprise. The university offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools. Our campuses in Charlotte, N.C., San Francisco, Seattle, and Toronto are regional platforms for undergraduate and graduate learning and collaborative research. Northeastern pursues advanced research in security and materials at the Innovation Campus in Burlington, Massachusetts, and in coastal sustainability at the Marine Science Center in Nahant, Massachusetts.

About the Opportunity:
The theoretical high energy physics (HET) group at Northeastern University invites applications for a postdoctoral fellowship at the interface of HET and machine learning (ML). Our group has broad interests within HET, from mathematical aspects of string theory, to amplitudes, string compactification, and particle-cosmology. More recently, we have begun applying ML to a number of these areas, and have also utilized techniques from HET to make progress in ML. The fellow will work closely with Northeastern professors Jim Halverson and Brent Nelson.

Northeastern, along with MIT, Harvard, and Tufts, is a member university of the new NSF AI Research Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), which funds this fellowship. The fellow will be a part of IAIFI, holding the title “IAIFI Postdoctoral Research Associate,” and will regularly visit other IAIFI institutions and participate in IAIFI activities. This position is distinct from the IAIFI Fellows program, and candidates may apply to both.

Responsibilities:
The postdoctoral fellow will carry out original research at the interface of HET and ML, writing papers and giving talks to disseminate the research, and training graduate students in the area.

Qualifications:
A Ph.D. in physics or closely related field is required.


Preferred Qualifications:
A strong track-record in applying ML within physics, and ideally high energy theory, is preferable.

Additional Information:
Submit CV, research statement and enter the name of three references.


To apply, visit https://careers.pageuppeople.com/879/cw/en-us/job/504298

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