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Dr. Faheem Ershad’s lab in the Electrical and Computer Engineering Department at the University of Houston is actively recruiting graduate and undergraduate students to join a new research program. Postdoctoral researchers are encouraged to apply as well. The lab focuses on addressing significant challenges at the intersection of bioelectronics and tissue engineering. We emphasize the development of soft, wearable, and implantable hybrid bioelectronic systems for advanced healthcare applications. Our multidisciplinary research will integrate expertise in biomedical engineering, electrical engineering, materials science, and machine learning, with the potential to impact cardiac and neural health, diagnostics, and personalized therapies.

Who Should Apply?

The lab is seeking motivated individuals with backgrounds in the following areas:

Biomedical Engineering, Life Sciences

  • Physiological signal acquisition (ExG, EDA, BioZ, BP); in vitro/intracellular recording.
  • Cell culture and related techniques: tissue imaging, viability assays, confocal imaging, immunostaining.
  • Tissue engineering; bioprinting/biofabrication; in vitro and in vivo testing; animal surgery (small/large animal models).

Electrical Engineering

  • Multimodal signal processing; system-level optimization for wearable and implantable bioelectronics.
  • Circuit design (analog, PCB); embedded systems; low-power communication.
  • Flexible/stretchable electronics for bio-sensing and bio-integration.

Materials Science, Chemistry

  • Biocompatible materials (hydrogels, natural and synthetic polymers).
  • Functional materials for bioelectronics (conductive polymers, semiconducting inks, composites).
  • Nano- and microfabrication; materials characterization for biointegration.

Computer Science (with a focus on Machine Learning)

  • Machine learning for healthcare diagnostics, therapy personalization, and real-time signal analysis.
  • Neural networks; supervised and unsupervised learning for multimodal biosignal integration.
  • Predictive modeling for adaptive therapies and bioelectronic control systems.

Benefits

Join this collaborative lab with potential opportunities to:

  • Work on cutting-edge research projects
  • Gain hands-on experience with fabrication, signal analysis, and preclinical testing
  • Publish in high-impact journals and present at top conferences
  • Build connections with collaborators in academia and industry

If you are interested in joining the lab, please email Dr. Faheem at fershad@central.uh.edu with a detailed CV, transcripts and GPA, a brief statement of your research interests and motivation, and copies of relevant publications (if any).