Publisher
source

Northeastern University

Postdoctoral Research Associate in Machine Learning, Control Theory, and Synthetic Biology Northeastern University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Northeastern University

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Biology
Mathematics
Systems Biology
Synthetic Biology
Dynamical Systems
Feedback Control
ML

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About this position

Postdoctoral Research Associate at Northeastern University, United States

This postdoctoral opening focuses on machine learning, control theory, synthetic biology, and related work in dynamical systems, systems biology, and algorithms and computation. The research combines tools from dynamical systems and control with mechanistic and ML-based approaches to study feedback controllers, context effects, and algorithmic analysis.

The postdoc will contribute to research outputs, present findings, help write papers, and support graduate student supervision while working closely with the PI and colleagues.

Eligibility highlights: a PhD in Electrical and Computer Engineering, Mathematics, Computer Science, or an equivalent field; strong background in dynamical systems, control theory, systems biology, and the theory of algorithms and computation.

Funding: full-time research position with an expected salary range of USD 60,315.00–85,192.50 plus benefits for eligible employees.

Institution: Northeastern University. Location: United States.

How to apply: submit an application through the Northeastern Workday portal using the provided link. No deadline is stated in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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