幫我老闆的academic brother的學生（所以是我academic cousin？）宣傳一下
他目前在Carnegie Mellon 做博士後 秋天開始會在Texas Tech任教
有興趣想爭取全獎fellowship的同學可以在3/15前申請
歡迎對數學最佳化、作業研究有興趣且想讀博士的人申請
有興趣的人請直接跟他聯絡
Position description
Dr. Ningji Wei will be joining the Department of Industrial,
Manufacturing & System Engineering at Texas Tech University as an
Assistant Professor in Fall 2022. Dr. Wei’s research group offers
two PhD fellowships for motivated students interested in
theoretical or applied optimization. The fellowship will start in
Fall 2022.
Research Areas
- network optimization & interdiction
- optimization under uncertainty
- dynamic robust optimization
- combinatorial optimization
- applications in vehicle routing, supply chain management,
resilience analysis of complex networks
Fellowship
There four-year fellowships include a tuition waiver, a waiver for
most fees, and an annual $29,000 stipend. Additional funding to
support travel for research and conferences may be available.
Requirements
- Background in operations research, mathematics, computer science
or related field
- Strong grades in an introduction to proof writing course and/or
introductory real analysis
- Experience in Gurobi, Cplex, C++, Python is preferable
- An interest in optimization and/or machine learning techniques and
theory
- Good oral and written communication skills in English
How to apply
Interested candidates should send the following documents to
[email protected]:
- Statement of Purpose (describe your interest and/or previous works)
- CV
- Grade transcripts
- GRE and/or TOEFL score (optional)
The review process is currently underway, and applications
received by March 15 will receive primary consideration. Please
address all inquiries to Dr. Ningji Wi at [email protected]