Physics/AI Jobs

As a hub for the intersection of Physics and AI in the Boston area and beyond, we are happy to share job opportunities at this intersection as we become aware of them.

To include a job post on this page, email iaifi@mit.edu, including the job title, job description, and application deadline.

IAIFI Jobs

Faculty Opportunities

Khoury College of Computer Sciences Research Fellowship
Northeastern University
Apply

Details The Khoury College of Computer Sciences at Northeastern University has multiple tenure-track/tenured faculty positions at the rank of Assistant Professor. These positions are for candidates at the earliest stages of their careers and provide an option of a 1- to 2-year Khoury Research Fellow position, beginning 2023-24, to allow candidates to ramp up their research programs before starting on the tenure track at the rank of Assistant Professor, beginning 2024-25 or 2025-26. We welcome candidates in all research areas.

Postdoc Opportunities

Postdoctoral researchers at any of the partner institutions may collaborate with IAIFI researchers to become a Junior Investigator.

Khoury College of Computer Sciences Research Fellowship
Northeastern University
Apply

Details The Khoury College of Computer Sciences at Northeastern University has multiple tenure-track/tenured faculty positions at the rank of Assistant Professor. These positions are for candidates at the earliest stages of their careers and provide an option of a 1- to 2-year Khoury Research Fellow position, beginning 2023-24, to allow candidates to ramp up their research programs before starting on the tenure track at the rank of Assistant Professor, beginning 2024-25 or 2025-26. We welcome candidates in all research areas.

Graduate Student Opportunities

IAIFI does not have a dedicated PhD program, but PhD students at any of the partner institutions may collaborate with IAIFI researchers to become a Junior Investigator.

Apply to be a Tufts University Physics and Astronomy graduate student
Tufts University
Deadline: January 15 for the following academic year | Apply

Details Learn more about the [Tufts Physics and Astronomy program](https://asegrad.tufts.edu/academics/explore-graduate-programs/physics)

Apply to be a Northeastern University Physics graduate student
Northeastern University
Deadline: Priority deadline for PhD (Fall admission only) is December 1, rolling admissions until March 15 | Apply

Details Learn more about the [Northeastern Physics program](https://www.northeastern.edu/graduate/program/master-of-science-in-physics-14258/)

Apply to be a Harvard School of Engineering and Applied Sciences (SEAS) graduate student
Harvard
Deadline: December 15 for the following academic year | Apply

Details Learn more about the [Harvard SEAS program](https://www.seas.harvard.edu)

Apply to be a Harvard Physics graduate student
Harvard
Deadline: December 15 for the following academic year | Apply

Details Learn more about the [Harvard Physics program](https://www.physics.harvard.edu/academics/grad).

Apply to be an MIT Electrical Engineering and Computer Science (EECS) graduate student
MIT
Deadline: December 15 for the following academic year | Apply

Details Learn more about the [MIT EECS program](https://www.eecs.mit.edu/academics-admissions/graduate-program).

Apply to be an MIT Physics graduate student
MIT
Deadline: December 15 for the following academic year | Apply

Details Learn more about the [MIT Physics program](https://physics.mit.edu/academic-programs/graduate-students/) and the [Interdisciplinary PhD in Physics, Statistics and Data Science](https://physics.mit.edu/academic-programs/graduate-students/psds-phd/).

Academic Opportunities

Faculty Opportunities

Senior Data Scientist
Northeastern University
Apply

Details This position supports the Institute in delivering data science and AI projects and expertise to its industry partners and researchers. Assist in delivering data science and AI courses and professional development programs to learners from across the University and industry. Help build AI products that will solve the most-pressing issues for organizations including Responsible AI. Be part of a fast-growing team that will develop and maintain a cutting-edge data platform, acquire data sets for research and education purposes and use data science strategically to support the Institute’s mission.

Assistant Adjunct Professor
UC Berkeley
Deadline: 2023-03-15 | Apply

Details The School of Information at UC Berkeley welcomes applications for a full-time, non-tenure-track position at the Assistant Adjunct Professor level in the area of Data Engineering, Machine Learning and/or Natural Language Processing. This faculty member will teach in and be an integral part of the Master of Information and Data Science program and will conduct research in one of, or at the intersection of, data-driven engineering, machine learning, and natural language processing. Applicants must be up-to-date with and conversant in the latest methods and techniques.

Assistant/Associate Professor in Statistics
ENSAI, France
Deadline: 2023-03-31 | Apply

Details ENSAI, the French graduate-level engineering school specialized in Statistics, Data Science and Economics, is currently inviting applications for a position as Associate or Assistant Professor in Statistics. The appointment starts in September, 2023, at the earliest. At the level of Assistant Professor, the position is for an initial three-year term renewable for another three years before the tenure evaluation. At the level of Associate Professor, the position is tenured. Salary is competitive according to qualifications. The teaching duties are reduced compared to French university standards. At the appointment, knowledge of French is not required but it is expected that the appointee will acquire a workable knowledge of French in a reasonable time. The school offers resources to learn French. PhD in Statistics or related fields required. All the areas of statistics are welcome. Applicants will have demonstrated strong ability to teach Master level courses in Applied Mathematics and Statistics for the engineers and to supervise projects in Applied Statistics. At the Associate Professor level, the candidate will have an outstanding research record and is expected to supervise PhD students.

Assistant/Associate Professor in Computer Science
ENSAI, France
Deadline: 2023-03-31 | Apply

Details ENSAI, the French graduate-level engineering school specialized in Statistics, Data Science and Economics, is currently inviting applications for a position as Associate Professor in Computer Science and Machine Learning. The appointment starts in September, 2023, at the earliest. PhD or HDR in Computer Science, with an expertise in Statistics or Machine Learning required. ENSAI is involved in the EUR Digisport and the EUR CyberSchool, so knowledge on related fields would be a plus. The applicant will have demonstrated strong ability to teach courses in Computer Science, related in particular to Statistics, and to supervise projects. At the Associate Professor level, the candidate will have an outstanding research record and is expected to supervise PhD students.

Postdoc Opportunities

Postdoctoral Positions
University of Wisconsin-Madison
Deadline: 2023-12-31 | Apply

Details The candidates will work with professor Moo K. Chung (www.stat.wisc.edu/~mchung) on developing new innovative computational methods in modeling large-scale dynamically changing graph and simplical complex data structures. Candidates should be familiar with one of areas: dynamical systems including time series, statistical physics (particularly Ising model related), signal and image analysis, network science, graph theory, algebraic topology, topological data analysis, partial differential equations (computational), artificial neural networks (ANN).

Postdoctoral Fellow
Machine Learning for Science and Humanities (SMASH)
Deadline: 2023-07-31 | Apply

Details SMASH is looking for postdoctoral researchers who will propose ambitious projects to advance a subject area of their choice in combination with the power of the High-Performance Computer Vega. SMASH is an innovative, intersectoral, career-development training program for outstanding postdoctoral researchers, co-funded by the Marie Skłodowska-Curie Actions COFUND program. SMASH is open to researchers around the world who are interested in developing cutting-edge machine learning applications for science and humanities.

Schmidt Science Fellows
MIT
Deadline: 2023-04-04 | Apply

Details The Schmidt Science Fellows program is an elite postdoctoral program that aims to create a new generation of scientific leaders by giving the world’s best aspiring scientific minds a broader perspective, the ability to engage in an interdisciplinary way, and the opportunity to make a lasting impact on society. The fellowship includes the opportunity to conduct postdoctoral research study focusing on a discipline in the natural sciences, engineering, mathematics, and computing that is different from the individual's existing area of expertise and is a planned area of future focus.

Postdoc, ML applied to space weather forecast
Center for mathematical Plasma-Astrophysics (CmPA), KULeuven
Deadline: 2023-03-31 | Apply

Details The Centre for mathematical Plasma-Astrophysics (CmPA) of the KULeuven is looking for a postdoc to study and develop modern AI/ML techniques to detect and forecast dangerous activity in space weather, considering ionosphere, magnetosphere and solar active regions. Within the new four-year Belgian DEFRA project AIDefSpace, we are processing different data sources relative to the ionosphere and the magnetosphere and high-resolution magnetograms and multi-spectral images of the Sun. Using advanced machine learning techniques, we want to make nowcasts and forecasts of space weather and discover signatures of flaring activity and other potentially dangerous conditions. The tools developed will be compared to existing models and proposed as new services for the Belgian and European space weather centres. We look for a candidate with a PhD in Space Science, Physics, Engineering or in AI/ML with a background in computer sciences applied to physics. The ideal candidate has experience or is interested in learning the bases on machine learning, including neural networks, data processing and unsupervised learning. It is desirable that the candidate has already some knowledge on Python programming and of the domain of physics related to space sciences: e.g. particle physics, plasma physics, aerospace engineering, fluid dynamics.

Industry Opportunities

This project is supported by National Science Foundation under Cooperative Agreement PHY-2019786. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.