Ph.D. Intern – Machine Learning/Artificial Intelligence

Job Location Mason

Job Qualifications · Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, or equivalent experience.

· Proficient in programming languages such as Python, with hands-on experience in libraries and frameworks such as PyTorch and Scikit-learn.

· Familiarity with handling large datasets and using tools for data management (e.g., SQL, Pandas, Spark).

· Strong background in deep learning for time series analysis, with a particular focus on unsupervised, semi-supervised, or self-supervised learning.

· Experience in developing sensing technologies or systems leveraging deep learning or machine learning methods.

· Proven track record of significant contributions, demonstrated through grants, fellowships, patents, or publications in leading workshops, journals, or conferences in machine learning (e.g., NeurIPS, ICML, ICLR).

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Qualified individuals will not be disadvantaged based on being unemployed.

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