Dear colleagues,
I am recruiting one or two highly motivated Ph.D. students to join the Arkansas Machine Learning Group at the University of Arkansas. Our group develops machine learning methods for adaptive decision-making in complex systems, with research spanning sample-efficient sequential decision-making, including Bayesian optimization and active learning, as well as search, exploration, and planning for language models.
I welcome applicants with a strong foundation in computer science and mathematics, and with interests in machine learning, optimization, or language-model systems. Students will have opportunities to develop foundational machine learning methods and apply them to problems in scientific discovery, supply chains, and other real-world decision-making domains.
Interested candidates should send a CV and a brief research statement describing their background and research interests to
arkansas.mlg...@gmail.com. Additional information about the group and our recent work is available at
https://jungtaekkim.github.io/arkansas-mlg/. Please feel free to share this announcement with prospective applicants.