Post Doc Research Scholar (Post Doc)

North Carolina State University

$65,000

relocation assistance

United States, North Carolina, Raleigh

Nov 08, 2024

Position Information

Posting Number	PG191326PD
Position Number	00111051
Position Type	Post Doc
FLSA	Exempt

Departmental Information

Department ID	140601 - Fitts Department of Industrial & Systems Engineering
Department	140601 - Fitts Dept Indust & Syst Engr
Job City & State	Raleigh, NC

Position Overview

Essential Job Duties

Professor Shashaani needs a postdoctoral research scholar to assist with ongoing research on stochastic derivative-free optimization. Duties and responsibilities include:

Design and analysis of algorithms for nonlinear optimization algorithms that use noisy simulation outputs to handle high-dimensionality, constraints, and nonsmoothness
Implementation of developed algorithms in code using Python and Julie, version control and documentation with GitHub
Analysis of computational experiments to evaluate algorithm performance with different testbeds using high-performance computing
Preparing manuscripts for publication and reports and other proposals for the funding agencies
Presenting findings at relevant conferences or seminars

Other Duties and Responsibilities

Execution and analysis of computational experiments to evaluate performance using high-performance computing
Preparing manuscripts for publication
Presenting findings at relevant conferences

Up to $5,000 relocation assistance and $3,000 travel support for national and international conferences.

Other Work/Responsibilities

Assistance with mentoring PhD students in the research group or with teaching tasks
Participation in developing proposals for outside research funding

Requirements and Preferences

Work Schedule	8:00am - 5:00pm Monday-Friday (hybrid)
Department Required Skills	Thorough understanding of optimization methodology for nonlinear optimization problems, particularly constrained optimization of nonconvex problems Thorough familiarity with probability theory and analysis of stochastic processes Thorough familiarity with implementing optimization algorithms using Python or Giulia and familiarity with GitHub platforms Strong oral and written communication skills Experience developing, implementing and analyzing large-scale computational experiments
Preferred Years Experience, Skills, Training, Education	Ph.D or equivalent doctorate in Industrial and Systems Engineering or a related field, no more than 2 years from receipt of application.
Required License or Certification	N/A
Valid NC Driver's License required?	No
Commercial Driver's License Required?	No

Recruitment Details

Anticipated Hiring Range	$65,000
If you anticipate multiple hires from this search, please indicate how many

Recruitment Dates

Job Open Date	09/09/2024

Applicant Information

Quick Link

https://jobs.ncsu.edu/postings/207910

AA/EEO

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