Location: Baltimore, MD
Cap-Exempt H-1B Position — No lottery required
Dr. Nicolas Christianson is seeking a highly motivated postdoctoral researcher to join his research group at Johns Hopkins University beginning in Fall 2026. The position will be based in the Department of Computer Science, with opportunities to engage with the broader Johns Hopkins research ecosystem through the Data Science and AI Institute (DSAI) and the Ralph O'Connor Sustainable Energy Institute (ROSEI). The postdoctoral researcher will work on problems in **data-driven and machine learning-augmented algorithm design** , **AI and machine learning for optimization** , and **reliable, robust decision-making under uncertainty in complex systems** . The ideal candidate will be interested in developing rigorous algorithmic and methodological foundations and bringing these ideas to bear on impactful applications in sustainable computing infrastructure, data center workload and energy management, power and energy systems, and related domains. Applicants with strong mathematical, algorithmic, or machine learning backgrounds are encouraged to apply, even if their prior work has not focused on energy or computing systems. This is a full-time, on-site postdoctoral position with an initial appointment of 12 months and the possibility of extension based on performance and funding. Strong candidates need not meet every qualification listed below. - PhD in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics, or a related technical field - Strong publication record in relevant peer-reviewed venues, such as ACM SIGMETRICS, ACM e-Energy, NeurIPS, ICML, COLT, SODA, or related conferences and journals - Strong technical background in one or more of the following: - - Algorithms, especially online algorithms, approximation algorithms, and learning-augmented algorithms - Optimization, especially stochastic optimization, machine learning for optimization, and decision-focused learning - Uncertainty quantification, including conformal prediction - Machin