Two (2) Postdoc Positions in Optimization and Data Analytics

Start date: Summer 2017

We are looking to fill two or more postdoctoral or more senior research 
associate positions in the broad area of stochastic optimization and operations 
research under the supervision of professor Mengdi Wang 
(http://www.princeton.edu/~mengdiw/index.html) in the Department of Operations 
Research and Financial Engineering.

One position will work on research topics that revolve around the theoretical 
foundations of data-driven stochastic optimization. We have special interests 
in the intersection between optimization, statistical machine learning, dynamic 
programming and reinforcement learning. Another position will work in the area 
of applied operations research and data analytics in the context of financial 
technology (FinTech) and healthcare. We have special interests in developing 
stochastic models and computation tools for analyzing real-world data.

Candidates are required to hold a Ph.D. in Computer Science, Operations 
Research, Data Science, Statistics, Mathematics or related fields. Expertise in 
several of the following is desired: optimization algorithms, probability 
theory, stochastic process, complexity analysis, R, Python, C++ and Tensorflow. 
Successful candidates are expected to publish and present research results in 
appropriate professional publications and venues. Strong oral and written 
communication skills are a must, as well as an enthusiasm for exciting research.

This is a one year appointment with a possibility of renewal based on 
satisfactory performance. Applications will be considered from the date of this 
announcement until filled. Please apply
at https://www.princeton.edu/acad-positions/position/341. Applications must 
include a CV and cover letter with contact information for three references.

This position is subject to the University's background check policy. Princeton 
University is an Equal Opportunity/Affirmative Action Employer and all 
qualified applicants will receive consideration for employment without regard 
to age, race, color, religion, sex, sexual orientation, gender identity or 
expression, national origin, disability status, protected veteran status, or 
any other characteristic protected by law.


——————————————————
Mengdi Wang
Assistant Professor
Operations Research and Financial Engineering
Princeton University, Princeton, NJ 08544

http://www.princeton.edu/~mengdiw/index.html
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