Pacific Northwest National Laboratory PhD Intern - Numerical Optimization in RICHLAND, Washington
Organization and Job ID
Job ID: 307190
Directorate: Energy and Environment
Division: Electricity Infrastructure & Buildings
Group: Optimization & Control
The objective of this internship is to develop and implement parallel solvers for linear mixed integer programming models used for day-ahead market unit commitment. The plan is to
Explore cutting plan, branch-and-bound scheme, Lagrangian relaxation, ADMM and decomposition techniques for solving security constrained unit commitment problems.
Develop, implement and test algorithms in HIPPO software package (Python).
Implement the tested methods to HPC.
Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. Minimum GPA of 3.0 is required.
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: Master's and PhD Level Internships
Group: Optimization and Control
Opening Date: 2018-02-28
Closing Date: 2018-03-30