Job Search - Requisition Detail

Postdoctoral Appointee - Mixed Integer Nonlinear Optimization w/Simulation

Title:  Postdoctoral Appointee - Mixed Integer Nonlinear Optimization w/Simulation Date Posted:  08/22/2013
Division:  Mathematics and Computer Science Date Re-posted:  
Requisition:  321239 MCS Salary:  4586-7644
Employment Category:  Temporary Pay Cycle:  Monthly
Shift:  8:30am - 5:00pm Grade:  700
Hours:  40  
Job Description
  Basic Purpose
  The proposed research will develop new approaches to mixed-integer nonlinear optimization with simulation constraints. A key challenge in this area is the presence of both relaxable and unrelaxable integer variables. We will design new classes of algorithms tailored to these types of variables. The new methods will be implemented by building on our existing solvers in TAO and MINOTAUR, combining advances in surrogate modeling for derivative-free optimization with advanced mixed-integer techniques.
  Knowledge, Skills and Experience
Considerable knowledge in optimization, numerical analysis, or scientific computing. Considerable knowledge either in mixed-integer optimization or derivative-free optimization.
Good collaborative skills, including the ability to work well with other divisions, laboratories, and universities. Good communication skills. Good programming skills.
Some experience with derivative-free optimization techniques or mixed-integer optimization to complement the considerable knowledge in one of these areas. Some experience in convex analysis. Some exposure to scientific computing.
Candidates should have a Ph.D. in mathematics, computer science or a related discipline.
  Minimum Education/Experience Requirements
Years Since Ph.D. -- 0-1, 1-2, 2-3

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