Research Fellow (Machine Learning - Simulation Modelling & Bayesian Optimization)

Updated: almost 2 years ago
Location: Kent Ridge,
Deadline: The position may have been removed or expired!


Job Description

We have an opening for a Research Fellow in the area of simulation modelling and optimization.  
The emphasis will be on metamodeling for computer simulations and algorithmic development for simulation optimization. 
Knowledge of Gaussian Process (GP) models and Bayesian Optimization (BO) with experiences in working with high dimensional data and machine learning techniques is essential.

 

Interested candidates should upload their detailed curriculum vitae giving full details of research experience and list of publications.

 

Interested candidates should upload their detailed curriculum vitae giving full details of research experience and list of publications.
 


Qualifications

•    Ph.D degree in Operations Research, Industrial Engineering, Statistics and Mathematics or a related science or engineering discipline.
•    Strong background in analytical modeling, applied statistics and applied probability.
•    Excellent programming skills in Python, C++, MATLAB.
•    Strong analytical skills and programming knowledge.
•    Good scientific writing skills.


More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Industrial Systems Engineering and Management

Employee Referral Eligible: No

Job requisition ID : 11290




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