11 machine-learning-phd Fellowship positions at Harvard University

Postdoctoral Fellow in Neuromotor Control

of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be

Postdoctoral Fellow in Applied Mathematics

-doctoral position in Applied Math. Fellow will conduct research applying machine learning technology to diverse problems in the sciences, aiming in particular at using traditional scientific computing code

Postdoctoral Fellowship in Computer Science and EconCS

This is a position in the EconCS lab (Parkes group) at Harvard School of Engineering and Applied Sciences, with a focus on research in machine learning and mechanism design, especially applied to DeFi and

Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability

MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, healthcare, and

Postdoctoral Fellow - Neural Engineering at Harvard BIONICs Lab

an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems

Postdoctoral Fellow in Material Science & Mechanical Engineering

machine learning methods for computational materials physics and chemistry. Projects include: 1. Scientific software engineering of machine learning potentials for large scale molecular dynamics. We

Postdoctoral Fellow in High-Performance Electronic-Photonic Integrated Circuits

ability, passion for mentoring PhD students and undergraduate researchers Strong communication skills and presentation skills Special Instructions Required Documents: Curriculum Vitae Cover Letter (should

Postdoctoral Fellow in Resilient Multi-Robot Systems

systems, distributed optimization (and federated learning), and game theory. Postdoctoral fellow will be expected to publish results in top tier control and robotics journals (such as but not limited

Postdoctoral Fellow in Machine Learning and Design of Biological Systems

Details Title Postdoctoral Fellow in Machine Learning and Design of Biological Systems School Faculty of Arts and Sciences Department/Area Science Division Position Description A postdoctoral

Postdoctoral Fellow in Statistics

Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics