About the Opportunity
This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
JOB SUMMARY
The Theoretical High Energy Physics group at Northeastern University in Boston has a Fall 2026 opening for a Postdoctoral Research Associate to work with the recently established Simons Collaboration on the Physics of Learning (physicsoflearning.org). The Simons Collaboration is harnessing the fundamental sciences to break AI out of its black box using techniques from mathematics and theoretical physics.
The postdoctoral researcher will be under the supervision of Prof. James Halverson. The successful candidate is expected to contribute to the scientific mission of the collaboration, bringing their technical expertise to bear on problems in AI. Proposals for new scientific directions are welcomed, and the researcher will have an opportunity to collaborate with anyone in the Collaboration.
Required Application materials:
MINIMUM QUALIFICATIONS
KEY RESPONSIBILITIES & ACCOUNTABILITIES
position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
108S
Expected Hiring Range:
$59,425.00 – $83,935.00
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.
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