PhD and RA Position of machine learning (LLM pre-training), U of Central Florida
2490
I am looking for 1-2 full-time research assistants, preferably senior undergraduate or master's students, to join my lab in the fall. You must be in the US for this RA position. I also welcome applications for fully funded PhD positions for Fall admission, for domestic students only, and Spring admission.
My research mainly focuses on LLM pre-training and numerical optimization. Students with strong backgrounds in systems/distributed programming, numerical optimization, or training dynamics are especially encouraged to apply.
I am an Assistant Professor at UCF's Institute of Artificial Intelligence: yorkerlin.github.io.
You will work with me and my collaborators from Mila, the national AI institute in Canada: mila.quebec; Vector Institute, another major AI institute in Canada: vectorinstitute.ai; and RIKEN-AIP, the national AI institute in Japan: riken.jp, on research projects.
For PhD students in my lab, there will be opportunities to do paid research internships at Mila, Vector Institute, or RIKEN-AIP. You will also have opportunities to collaborate with my external students from Stanford University, the University of Cambridge, the University of Toronto, the University of Tokyo, and ETH Zurich. I also fully support my PhD students in doing at least one industry internship.
PhD students in my lab will receive guaranteed travel support to attend at least one conference. In addition, students who publish a first-author paper at a top-tier ML venue, such as ICML, ICLR, or NeurIPS, will be eligible for additional support for domestic and international conference trips.
My research has been used by Meta, Nvidia, and Anthropic:
Meta: github.com
Nvidia: docs.nvidia.com
Anthropic: arxiv.org
If you are interested, please send me ([email protected]) your CV and briefly explain why your background is a good fit for this role.
Interviews for the full-time research assistant positions will be conducted in June.
I will contact selected students by the end of May or early June if their backgrounds appear to be a good fit.
Best,
Wu Lin
My research mainly focuses on LLM pre-training and numerical optimization. Students with strong backgrounds in systems/distributed programming, numerical optimization, or training dynamics are especially encouraged to apply.
I am an Assistant Professor at UCF's Institute of Artificial Intelligence: yorkerlin.github.io.
You will work with me and my collaborators from Mila, the national AI institute in Canada: mila.quebec; Vector Institute, another major AI institute in Canada: vectorinstitute.ai; and RIKEN-AIP, the national AI institute in Japan: riken.jp, on research projects.
For PhD students in my lab, there will be opportunities to do paid research internships at Mila, Vector Institute, or RIKEN-AIP. You will also have opportunities to collaborate with my external students from Stanford University, the University of Cambridge, the University of Toronto, the University of Tokyo, and ETH Zurich. I also fully support my PhD students in doing at least one industry internship.
PhD students in my lab will receive guaranteed travel support to attend at least one conference. In addition, students who publish a first-author paper at a top-tier ML venue, such as ICML, ICLR, or NeurIPS, will be eligible for additional support for domestic and international conference trips.
My research has been used by Meta, Nvidia, and Anthropic:
Meta: github.com
Nvidia: docs.nvidia.com
Anthropic: arxiv.org
If you are interested, please send me ([email protected]) your CV and briefly explain why your background is a good fit for this role.
Interviews for the full-time research assistant positions will be conducted in June.
I will contact selected students by the end of May or early June if their backgrounds appear to be a good fit.
Best,
Wu Lin
