Postdoctoral Fellow (Civil and Systems Engineering)

The Chronicle Of Higher Education, Inc.; Baltimore (MD); On-site; USD 63,480 - 100,000; Full time

Job summary

The Johns Hopkins University invites applications for a Postdoctoral Fellow to conduct research in decision-focused learning and optimization under uncertainty, with emphasis on end-to-end methodologies for robust scheduling and production planning. You will develop novel algorithms, perform computational experiments with real-world datasets, and contribute to publications and conference presentations.

A doctoral degree in a related field is required, with the opportunity to collaborate across

Qualifications

• Doctoral degree in a related field.
• Experience implementing computational experiments and using real-world datasets.
• Ability to publish in peer-reviewed journals and present at scientific conferences.

Responsibilities

• Conduct independent and collaborative research in decision-focused learning and optimization under uncertainty.
• Develop novel algorithms and computational methods that jointly learn predictive models and optimize decision-making.
• Investigate methods for incorporating uncertainty in optimization constraints, with applications in scheduling, production planning, and related operational systems.
• Implement and evaluate proposed methods using computational experiments and real-world datasets.
• Prepare manuscripts for publication in peer-reviewed journals and present research findings at scientific conferences.
• Collaborate with faculty investigators and research team members on related research initiatives.
• Participate in grant proposal preparation and other research activities as assigned.

Skills

Decision-focused learning

Optimization under uncertainty

Collaborative research

Education

Doctoral degree in a related field

Job description

Description

The Postdoctoral Fellow will conduct research in decision-focused learning, an emerging paradigm that integrates predictive machine learning models directly with optimization to improve decision-making under uncertainty. The primary research focus will be on developing novel end-to-end methodologies for addressing uncertainty in optimization constraints, particularly in scheduling and production planning applications where robust integrated solutions remain an open research challenge.

Salary

$ 63,480 - 100,000

Employer

Johns Hopkins University: Whiting School of Engineering: Department of Civil and Systems Engineering

Essential Duties & Responsibilities

• Conduct independent and collaborative research in decision-focused learning and optimization under uncertainty.
• Develop novel algorithms and computational methods that jointly learn predictive models and optimize decision-making.
• Investigate methods for incorporating uncertainty in optimization constraints, with applications in scheduling, production planning, and related operational systems.
• Implement and evaluate proposed methods using computational experiments and real-world datasets.
• Prepare manuscripts for publication in peer-reviewed journals and present research findings at scientific conferences.
• Collaborate with faculty investigators and research team members on related research initiatives.
• Participate in grant proposal preparation and other research activities as assigned.

Qualifications

Doctoral degree in a related field.

Equal Employment Opportunity

The Johns Hopkins University is an equal opportunity employer. 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.

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.

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This 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 https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.