Goldstine Fellowship

The IBM Research Mathematical Sciences Council invites applications for its 2024–2025 Herman Goldstine Memorial Postdoctoral Fellowship for research in mathematical and computer sciences.

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Advancing mathematics research at the world's most innovative lab

The fellowship provides scientists of outstanding ability an opportunity to advance their scholarship as resident department members at one of the IBM Research laboratories. The main hub of mathematical sciences activities in IBM Research is at the IBM Thomas J. Watson Research Center in Westchester County, less than an hour north of New York City. Mathematical sciences research is also pursued at many of our global lab locations around the world.

IBM Research provides an atmosphere in which basic research is combined with work on practical applications. Our permanent members, academic visitors, and post-doctoral fellows pursue research in pure and applied mathematics and in theoretical and exploratory computer science. Core fields of research include: algorithms, applied probability, complexity theory, dynamical systems, numerical analysis and scientific computing, operations research, optimization and statistics. Areas of particular interest include: algorithmic game theory, artificial general intelligence, automated theorem proving and program synthesis, bio-inspired information processing, theory and analysis of foundation models and machine learning, and geometric data analysis. Close interaction with permanent department members is expected and encouraged, but fellows are free to pursue their own research interests.

Up to two fellowships will be awarded. Candidates must have received a Ph.D. degree after September 2019 or should expect to receive one before the fellowship commences in the second half of 2024 (usually in September). The fellowship has a period of one year, and may be extended for another year by mutual agreement.

IBM is committed to work-place diversity and is proud to be an equal-opportunity employer.

Application process

An application should be submitted by December 31st, 2023 via https://academicjobsonline.org/ajo/fellowship/26376 (job id: #26376). It should consist of:

  • – Full CV.
  • – Abstract of your Ph.D. dissertation.
  • – A 2–3 page research statement describing your current and future research.
  • Full CV.
  • – 3 or more letters of recommendation, including one from the thesis advisor.
  • – Optionally, up to three recent papers.

A cover letter is not required. We strongly prefer all documents in PDF format.

Questions can be addressed to gpfellow@ibm.com.

Past Fellowship Awardees

Year of Award Awardee Ph.D. Institution Award Field Current Position
2023 Ankit Pensia U Wisconsin, Madison (2023) Theory of Machine Learning Current Fellow,
IBM Research
2022 Ryan Cory-Wright Mass. Inst. of Tech. (2022) Operations Research &
Assistant Professor,
Analytics and Operations Group,
Imperial College Business School
2020 Bachir El Khadir Princeton Univ. (2020) Operations Research &
Quantitative Researcher,
Two Sigma
2019 Clément Canonne Columbia Univ. (2019) Theory of Algorithms Lecturer,
School of Computer Science
Univ. of Sydney
Zhengyuan Zhou Stanford Univ. (2019) Operations Research &
Assistant Professor,
Operations and Statistics,
New York University
2018 Vasileios Kalantzis Univ. of Minnesota (2018) Numerical Analysis &
Scientific Computing
Research Staff Member
IBM Research
Shashanka Ubaru Univ. of Minnesota (2018) Data Mining &
Machine Learning
Research Staff Member
IBM Research
2017 Hamsa Bastani Stanford Univ. (2017) Operations Research &
Assistant Professor,
Wharton School,
University of Pennsylvania
Anastasios Kyrillidis EPFL (2014) Operations Research &
Assistant Professor,
Computer Science,
Rice University
2016 Karthikeyan Shanmugam Univ. of Texas,
Austin (2016)
Machine Learning Research Staff Member
IBM Research
Shay Solomon Theory of Algorithms Faculty,
School of Electr. Engg.,
Tel Aviv University.
2015 Robert Hildebrand Univ. of California,
Davis (2013)
Operations Research &
Assistant professor,
Indus. and Systems Engg.,
Virginia Tech
Ramis Movassagh Mass. Inst. of Tech. (2012) Numerical Analysis &
Scientific Computing
Research Staff Member
IBM Research
2014 Michael Kapralov Stanford Univ. (2012) Theory of Algorithms Assistant Professor,
School of Comp. and Comm. Sciences
Liu Yang Carnegie Mellon Univ.(2013) Machine Learning
2013 Alberto Del Pia Uni.v of Padova (2009) Optimization Associate Professor,
Dept. of Indus. and Systems Engg.
University of Wisconsin-Madison.
Stephen Becker California Inst. of Tech. (2011) Data Mining &
Machine Learning
Associate Professor,
Applied Mathematics,
Univ. of Colorado at Boulder
2012 Amir Ali Ahmadi Mass. Inst. of Tech. (2011) Optimization Professor,
Dept. of Oper. Res. and Financial Engg.
Princeton University
2011 Peter van de Ven Eindhoven Inst. of Tech. (2011) Probability &
Data Science Craft Lead
2010 Dan Iancu Mass. Inst. of Tech. (2010) Operations Research Associate Professor of Operations,
Graduate School of Business
Stanford Univ.
Neil Dobbs Université Paris-Sud. (2006) Dynamical Systems Lecturer/Assistant Professor,
School of Math. and Stats.,
Univ. College, Dublin
2009 Juan Pablo Vielma Georgia Inst. of Tech. (2009) Integer Programming Research Scientist,
Google Operations Research
Cambridge, MA
2008 Alexandru Niculescu-Mizil Cornell Univ. (2008) Machine Learning Researcher,
Machine Learning Dept.
NEC Labs America.
Ricardo Fukasawa Georgia Inst. of Tech. (2008) Integer Programming Professor,
Dept. of Combinatorics and Optim.
Univ. of Waterloo.
2007 Ton Dieker Univ. of Amsterdam (2006) Stochastic Processes Associate Professor
Industial Engg. and Oper. Res.,
Columbia University
2006 Alexandre Belloni Mass. Inst. of Tech. (2006) Optimization Professor,
Fuqua School of Business,
Duke University
Rohit Khandekar Indian Inst. of Tech. (2004) Approximation Algorithms Freelancer,
Machine Learning
2005 Retsef Levi Cornell Univ. (2005) Operations Research Professor
Sloan School of Management
Mass. Inst. of Tech.
2004 Andrea Lodi Univ. of Bologna (2000) Integer Programming Professor,
Jacobs Technion-Cornell Inst.
Cornell Tech and the Technion
2003 Petar Momcilovic Columbia Univ. (2003) Stochastic Processes Associate Professor,
Indus. & Systems Engg.
Texas A&M Univ.
2002 John Langford Carnegie Mellon Univ. (2002) Machine Learning Partner Researcher Manager
Microsoft Research
Sanjeeb Dash Ric Univ. (2001) Integer Programming Research Staff Member
IBM Research
2001 Philippe Baptiste Univ. of Tech. of Compiégne Scheduling &
Constraint Programming
Chairman & CEO
Centre National d’Etudes Spatiales
2000 Moshe Lewenstein Bar-Ilan Univ. (2000) Theory of Computation Professor,
Dept. of Computer Science
Bar-Ilan Univ.
1999 Xin Guo Rutgers Univ. (1999) Stochastic Systems Professor
Dept. of Indus. Engg. and Oper. Res.
Univ. of California, Berkeley

A partial list of awardees of the Fellowship before it was named “Goldstine”:

Year of Award Awardee Ph.D. Institution Award Field Current Position
1998 Fabian Chudak Cornell Univ. (1998) Combinatorial
Senior Researcher
Quantum Leap Mgmt Consulting
1996 Chai Wah Wu Univ. of California,
Berkeley (1996)
Dynamical Systems Research Staff Member
IBM Research
1994 Patrick A. Worfolk Cornell Univ. (1993) Dynamical Systems
1989 Jonathan Ashley Member of Technical Staff
Agere Systems
1988 Alice Silverberg Princeton Univ. (1984) Cryptography Distinguished Professor
Univ. of California, Irvine
1987 Baruch Schieber Tel Aviv Univ. (1987) Scheduling &
Professor and Chair,
Dept. of Computer Science
New Jersey Inst. of Tech.
1981 Carl Lee Discrete Geometry Professor of Math.
Univ. of Kentucky
1977 Don Coppersmith Harvard Univ. (1977) Cryptography IDA - CCR

Research labs involved: IBM Thomas J. Watson Research Center (Yorktown)