Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Aalborg University
- Technical University of Munich
- Texas A&m Engineering
- University of Idaho
- AI4I
- Argonne
- Delft University of Technology (TU Delft)
- Nature Careers
- Technical University of Denmark
- Texas A&M University
- Tilburg University
- University of Texas at Arlington
- University of Washington
- 3 more »
- « less
-
Field
-
Engineering or a related field The ideal candidate should have some knowledge and experience in the following topics: Software Cybersecurity Software Testing and Analysis Machine Learning and Multimodal Large
-
security. Expertise in data-driven modeling (ML for energy, forecasting, anomaly detection) and physics-informed learning. Real-time/HIL or embedded control experience (e.g., OPAL-RT, RTDS) and laboratory
-
to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
-
applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in
-
verbal communication skills. Ability to manage complex projects. Work Location: Main Campus – College Station, TX. About The Department of Electrical and Computer Engineering: The Department of Electrical
-
world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
-
gain real-world experience through research, internships, and industry-sponsored capstone projects. With a versatile curriculum spanning software, systems design, nanofabrication, and machine learning
-
, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
-
PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine learning