Business Services & Consulting • Baltimore, MD 21215
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 opportunitiesto 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
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
Salary: $64,480 - $80,000
Applicants should submit a curriculum vitae, a research statement, two representative publications, and at least two letters of reference.
Salary Range
The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here:
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students.To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics.
The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.
Pre-Employment Information
If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.
Background Checks
After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.
EEO is the Law
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.
Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit and all other JHU applicants should visit
The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination.This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing.
Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers.Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Job Type: Full Time
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 opportunitiesto 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
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
Salary: $64,480 - $80,000
Applicants should submit a curriculum vitae, a research statement, two representative publications, and at least two letters of reference.
Salary Range
The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here:
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students.To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics.
The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.
Pre-Employment Information
If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu.
Background Checks
After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.
EEO is the Law
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.
Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit and all other JHU applicants should visit
The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination.This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing.
Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers.Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Job Type: Full Time
