We are always looking for passionate researchers to join our team. Explore current opportunities below:
Posted: May 24, 2025 | Updated: May 25, 2025
Update Aug 20, 2025 | We received 260+ pre-applications by the deadline, and are actively reviewing them.
Taebi Lab will move to Lehigh University in August 2025. We are looking for multiple highly motivated Ph.D. students with an interest in biomedical signal processing and biomedical instrumentation to join us. Our lab focuses on developing early diagnosis methods and personalized treatments for cardiovascular diseases. Learn more about our research here.
These are fully funded PhD positions. Tuition will be fully covered by the Taebi Lab or the Department of Bioengineering at Lehigh University.
Submit through the following form: Google Form. This form takes 10–15 minutes. Please have your CV, unofficial transcripts, and (if applicable) English test scores ready to upload.
Review begins Aug 15, 2025. Top 20 candidates will be interviewed in September, and the top 10 invited to submit a formal application to the PhD program in Bioengineering at Lehigh. Ultimately, 2–3 students will join our lab.
You may also apply directly to the PhD program in Bioengineering at Lehigh and indicate your interest in joining Taebi Lab. Direct applications will be equally considered.
The P.C. Rossin College of Engineering and Applied Science is a vibrant center for engineering research and education. Lehigh ranks 46th nationally (U.S. News) and in the Top 15 Best Colleges according to The Wall Street Journal (2024).
These positions are no longer open, but we keep them here for record-keeping and to showcase the research opportunities we offer.
Posted: Dec 21, 2022 | Updated: Mar 2, 2023
Update Mar 2, 2023 | This position is filled.
Update Feb 15, 2023 | Candidates not selected for an interview are informed.
Update Jan 17, 2023 | We received 240+ applications by 1/15 (in less than a month)! It was surprising but we were also very happy to see you are interested in our research. You will hear about your application outcome by mid-February. Again, thanks for your interest in our research.
We are looking for a highly motivated Ph.D. student with an interest in computational fluid dynamics and finite element modeling to join Taebi Lab at Mississippi State University. Our lab focuses on developing early diagnosis methods and personalized treatments for cardiovascular diseases. Learn more about our research here.
Applicants should have an M.Sc. in Mechanical Engineering, Biomedical Engineering, or related areas. Strong applicants with a B.Sc. degree will be considered too. Previous experience in developing CFD/FE simulations in ANSYS or similar software is required. Proficiency in MATLAB or Python programming is a big plus. The successful applicant will pursue a Ph.D. degree in Biomedical Engineering at the Department of Agricultural and Biological Engineering to develop intelligent and patient-specific solutions for the earlier detection of cardiovascular diseases. This position requires communication and interaction with our medical collaborators.
Application: Interested candidates should send
to Dr. Taebi, ataebi@abe.msstate.edu. The email subject should be “Ph.D. application – Fall 2023” without quotation marks. Incomplete applications will not be considered. The screening will begin on January 15, 2023, and will continue until the position is filled. The anticipated appointment date is Fall 2023, or as soon as a qualified candidate is identified. The qualified candidate will be asked to officially apply for the BME Ph.D. program at MSU.
About Mississippi State University: The Bagley College of Engineering at MSU currently ranks 51st among all engineering colleges nationally in research and development expenditures according to the National Science Foundation. U.S. News and World Report rank Mississippi State's Engineering programs in the top 100 nationwide.
Posted: May 16, 2021 | Updated: Mar 2, 2022
Update Mar 2, 2022 | This position is filled.
We are looking for a highly motivated individual with an interest in deep learning and f{biomedical signal processing and/or video processing} to join Taebi Lab at Mississippi State University. Our lab will open its doors in August 2021 and will focus on developing early diagnosis methods and personalized treatments for different types of cardiovascular diseases and cancer. The initial appointment will be for one year starting Fall 2021 or Spring 2022 and can be renewed upon the availability of funding and mutual agreement.
Applicants should have a doctoral degree in computer science, electrical engineering, or computer engineering. Expertise in deep learning, {signal processing and/or image processing, and computer vision} is required. Knowledge of acoustic signal processing is preferred. The successful applicant will work with the Departments of Agricultural and Biological Engineering to develop image-based medical decision-making solutions. Specifically, the project aims at developing novel methods for earlier detection of cardiovascular and pulmonary diseases. This position requires communication and interaction with our medical collaborators.
Application: Interested candidates are encouraged to apply by sending
to Dr. Taebi, a.taebi@msstate.edu. The email subject should have the following format: Postdoc application - [your desired start date], where your desired start date is the first date that you are available to start this position. Incomplete applications will not be considered.
About Mississippi State University: The Bagley College of Engineering at MSU currently ranks 51st among all engineering colleges nationally in research and development expenditures according to the National Science Foundation. U.S. News and World Report rank Mississippi State's Engineering programs in the top 100 nationwide.
MSU is located in the beautiful town, Starkville, and is within easy reach of Memphis (TN), Birmingham (AL), and Jackson (MS). Also, with a four-hour road trip, you can visit New Orleans (LA), Atlanta (GA), Little Rock (AR), and the Gulf of Mexico's northern shores.
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