Postdoctoral Fellow - DSAI/ROSEI

Johns Hopkins, founded in 1876, is America's first research university and home to nine world-class academic divisions working together as one university.

Salary: $64,480 - $80,000

Johns Hopkins University: Whiting School of Engineering

Description

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.

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.

Qualifications

• 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; Machine learning theory, including online learning and bandits
• Interest or experience in working on topics related to computer systems, sustainable computing, data centers, power systems, smart grids, or electricity markets
• Proficiency in Python and machine learning frameworks (e.g., PyTorch)
• Experience with optimization tools such as Gurobi and CVXPY
• Experience building high-quality research code, running computational experiments, or contributing to open-source software
• Ability to lead research projects independently, from problem formulation through analysis, implementation, and publication
• Excellent written and oral communication skills
• Interest in working in a collaborative and interdisciplinary environment

Application Instructions

Applicants should submit a curriculum vitae, a research statement, two representative publications, and at least two letters of reference.