-
Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
-
. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
-
, engineering, physics, or similar fields by the expected start date. Additional Qualifications Applicant should ideally have some experience in electric power systems, artificial intelligence, and optimization
-
datasets as well as optimally leveraging integration with existing genomics datasets. The role will often involve rapid prototyping in support of a dynamic, fast-moving experimental program; it is focused
-
Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
-
that can be easily swapped or adjusted to optimize sensing for different environments and use cases. Preferred start date as soon as possible but flexible. Documents should include a full CV, cover letter
-
. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
-
multidisciplinary team members to optimize experimental protocols and analyze data. Publish research findings in peer-reviewed journals and present results at conferences and seminars. Mentor graduate and
-
seeking a highly motivated postdoctoral researcher to play a key role in optimizing the performance of the Rubin Observatory system. Our near-term goal is to optimize the performance of the Rubin