Pacific Northwest National Laboratory Post Doc Research Associate - Numerical Optimization in SEATTLE, Washington

Organization and Job ID

Job ID: 307191

Directorate: Energy and Environment

Division: Electricity Infrastructure & Buildings

Group: Optimization and Control


Job Description

The objective of this assignment is to develop and implement parallel solvers for linear mixed integer programming models used for day-ahead market unit commitment. The plan is to

  1. Explore cutting plan, branch-and-bound scheme, Lagrangian relaxation, ADMM and decomposition techniques for solving security constrained unit commitment problems.

  2. Develop, implement and test algorithms in HIPPO software package (Python).

  3. Implement the tested methods to HPC.


Minimum Qualifications

Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.


Preferred Qualifications

Linear and mixed integer optimization, numerical optimization, Python, GUROBI, Numerical libraries e.g., GNU GSL,

Specialized in Operations Research, Computer Science, Electrical Engineering with emphasis in optimization

3.5 GPA or higher is preferred.


Equal Employment Opportunity

PNNL is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse, talented workforce. EOE Disability/Vet/M/F/Sexual Orientation/Gender Identity. Staff at PNNL must be able to demonstrate the legal right to work in the United States.

.Directorate: Energy & Environment

Job Category: Post-Graduates and Post-Docs

Group: Optimization and Control

Opening Date: 2018-02-28

Closing Date: 2018-04-09