Openings

Multiple funded research assistant positions are available in the DIVE Lab within the Department of Computer Science and Engineering, Texas A&M University. Texas A&M University is renowned for its world-class engineering programs. The Department of Computer Science and Engineering offers highly-ranked computer science and computer engineering programs. More information about engineering degree programs is available at FACTS AND FIGURES. The DIVE Lab strives to seek synergies between foundational and use-inspired research themes. Their foundational research centers on developing innovative models and algorithms in the fields of machine learning, geometric deep learning, language models and agents. Their use-inspired research aims at tackling challenges in various scientific and engineering disciplines, including physics-informed modeling and simulations, biology, drug discovery, quantum physics and chemistry, materials science, molecular dynamics and simulation, fluid dynamics, and partial differential equations, among others. Members of the DIVE Lab not only publish papers in top-tier venues, including NeurIPS, ICML, ICLR, etc., but also achieve top performance in open challenges. Candidates are expected to pursue a PhD degree and have strong programming and/or mathematical skills. Candidates with undergraduate background in computer science, electrical engineering, physics, chemistry, mathematics, or statistics are encouraged to apply. Interested individuals should contact Dr. Shuiwang Ji (details here) with the following documentation:

• A current CV, which should include your (1) undergraduate GPA and ranking, (2) TOEFL and GRE scores and percentile,

• Undergraduate and graduate transcripts if applicable.

Please note the following:

• We do not offer financial support to master's or undergraduate students until they have demonstrated substantial research contributions, such as serving as the primary author on publications to NeurIPS, ICML, or ICLR.

• Rest assured that all emails are reviewed. However, due to the high volume of messages, we may not be able to respond to each one individually. We kindly request that you avoid sending repeated inquiries, as doing so will not expedite a response.