About the Opportunity

Conduct research on machine learning and control theory as part of a MURI grant. The work will combine tools from dynamical systems, control theory, and the theory of algorithms and computation, involving the analysis of controllability, observability, and parameter identifiability in recurrent networks, the study of the overparameterization phenomena in feedforward neural network learning, theory of online learning of dynamical systems from data, and comparing reinforcement learning to model-based control approaches. The Postdoctoral Associate will give presentations of their work, will help write papers reporting on research results, will help supervise graduate students, and will closely interact with the other PIs in the team.

Qualifications:

A successful candidate will have a strong foundation in dynamical systems, control theory, and the theory of algorithms and computation, ideally with experience in the analysis of reinforcement learning, convergence of neural networks, and numerical optimization algorithms. The candidate should possess a PhD in Electrical and Computer Engineering, Mathematics, Computer Science, or equivalent. 

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.  

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff.  Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. 

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.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity .