ECE Postdoctoral Fellow

Job Description

We are seeking a highly motivated Postdoctoral Fellow to conduct research in machine learning and neural network architecture design, with a focus on computational efficiency, robustness, and reliability in constrained environments.

The successful candidate will work on the development and evaluation of robust classifiers, building upon our novel Pseudo-Invertible Neural Networks layers

Responsibilities

Conduct Innovative Research: The postdoctoral fellow will be responsible for conducting cutting edge research in developing novel robust classifier architectures, with an emphasis on robustness

· Design and implement computationally efficient neural network architectures for robust classification

· Develop and evaluate Psi-NN-based models that enable classifiers to function as autoencoders without additional decoder networks

· Conduct experiments, analyze results, and benchmark performance under computational constraints

· Collaborate with faculty, graduate students, and research staff

· Publish research findings in peer-reviewed journals and conferences

· Mentor graduate and undergraduate researchers as appropriate

Required Qualifications

· Ph.D.

in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field

· Strong background in machine learning and neural networks

· Familiarity with pseudo-invertible network architecture (Psi-NN)

Preferred Qualifications

· Experience with PyTorch for deep learning research and experimentation

· Familiarity with autoencoders, inverse or bidirectional models, robustness, or adversarial learning

· Experience designing or optimizing models for computational efficiency or resource-constrained environment

Department
Electrical and Computer Engineering

Compensation Range
In compliance with the New Jersey Wage Transparency Act, the annual base range for this position is $53,000 - $55,000.

This range represents the University’s good faith estimate of possible compensation at the time of posting.

Stevens Institute of Technology determines compensation based on factors including the position’s scope and responsibilities, the candidate’s experience, education, skills, internal equity, market data, and organizational considerations.

The final salary will be set considering departmental budget, qualifications, and relevant credentials.

This pay range represents base pay only and excludes additional forms of compensation, such as incentives, stipends, or other applicable pay components.

For a full overview of our benefits offerings, please refer to the Stevens Institute of Technology Benefits Guidebook, available at:

Benefits Guidebook


General Submission Guidelines: 

Please submit an online application to be considered a candidate for any job at Stevens.

Please attach a cover letter and resume with each application.

Other requirements for consideration may depend on the job. 

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