The Computational Medicine Laboratory (CML) at the University of Houston is currently looking to recruit one highly motivated and creative Ph.D. student with applied mathematics, signal processing, and/or control theory background to develop mathematical algorithms for biomedical engineering applications with a focus on human subject research. CML mainly focuses on designing control, optimization, estimation, signal processing, and machine learning algorithms for biomedical and neural engineering applications. The ideal candidate has obtained their B.S. degree in electrical engineering (or related fields, e.g. mechanical, computer or biomedical engineering, computer science, applied mathematics, statistics, etc.) focusing on control theory and/or signal processing. The projects involve algorithm design and validation in real-time experiments with human recordings.
Interested candidates should email Dr. Rose Faghih (email: email@example.com) and CC Md. Rafiul Amin (email: firstname.lastname@example.org) with ‘Ph. D. Opening at CML’ in the subject line. Please also include the following required items in your email.
2) A statement of purpose that discusses the candidate’s academic achievements, previous research experiences, research interests, and projected professional goals.
3) Electronic copy of unofficial transcript(s). Recommended GPA≥ 3.5/4.0.
4) GRE and TOFEL (if applicable) scores. Recommended GRE scores: Verbal of 151, Quantitative of 164, and Analytical Writing of 4.0. Recommended TOEFL score: 99.
The position is available immediately and applicants will be considered until the vacancy is filled.