Careers at DSI

The Data Science Institute (DSI) at Columbia University invites applications for the position of a Data and Cancer Postdoctoral Research Scientist. The recipient of this two-year research position will be embedded in a Columbia University Irving Medical Center (CUIMC) cancer tumor board, an interdisciplinary board of clinicians reviewing plans of care for complex cancer tumor cases using state-of-the-art genomic, imaging analysis, and natural language processing where appropriate.

Apply Now

The Data Science Institute (DSI) at Columbia University invites applications for the 8th cohort of the DSI Postdoctoral Fellows Program for the 2025-2027 cycle. This prestigious two-year program aims to develop the next-generation of leaders in data science and artificial intelligence. Fellows will conduct independent and innovative research within a dynamic environment that fosters multidisciplinary and collaborative efforts.

Apply Now

The Data Science Institute of Columbia University invites applications for research scientists at all levels: Associate Research Scientist, Research Scientist, and Senior Research Scientist. This position is endowed and the holder will be named a Herbert and Florence Irving Cancer Research Data Scientist. A successful candidate will serve as a resident expert in data science whose research interests are specifically focused on advancing and applying data science to understanding cancer. The incumbent will foster collaborations with world-class faculty across Columbia’s schools, centers and institutes in order to guide, plan and execute data science research and technological innovation in cancer-related research.

Apply Now

The Accessible and Accelerated Robotics Lab (A²R Lab) at Barnard College, Columbia University is hiring a postdoctoral fellow with an ASAP start date, under the direction of Professor Brian Plancher. The postdoc will be playing a leading role in the associated research in our new NSF-funded project: “Accessible GPU-Accelerated Edge Optimal Control Library and Benchmarks.” This (up-to) three-year project will be building on our prior work on GPU acceleration of numerical optimal control algorithms in the pursuit of whole body nonlinear model predictive control for locomotion which led to a number of open-source projects and ICRA/RA-L publications including our rigid body dynamics library, GRiD, and our recent trajectory optimization solver, MPCGPU. This research has also been integrated into the PI’s Parallel Optimization for Robotics undergraduate course.

Our new effort is aimed at turning these proof-of-concept results into full-fledged, open-source software packages and supporting ecosystem for use by the optimal control and robotics communities broadly. This will require algorithmic research to generalize our existing approaches and novel re-designs to maintain performance while supporting broader classes of problems. This software will be paired with open-source benchmark problems and datasets and integrated into machine learning (ML) frameworks to enable fair evaluations of new algorithms and to enable broader participation in this interdisciplinary field. Finally, this project will build on the PIs existing courses and release an open-source integrated educational curriculum that provides background knowledge, enabling researchers and practitioners worldwide to learn about these topics, leverage this cyberinfrastructure to improve their systems, and contribute to the project.

Building on Professor Plancher’s leadership of the IEEE RAS TC on Model Based Optimization for Robotics, we have already secured a number of global collaborators interested in helping co-develop these many efforts. These not only include research collaborations building on past award-winning collaborative work (e.g., TinyMPC), but also through additional grants including a RAS-TEP Grant to run an Optimization for Robotics Summer School in Greece in 2025. As such, this role will place the postdoctoral researcher at the center of the optimization for robotics world.

Applications should be submitted electronically and should include a CV, Statement of Interest, along with any other relevant applicant material. Candidates must have a PhD, in progress or conferred, in Computer Science or related discipline.

Strong preference for C, C++, CUDA experience.

Applications will be reviewed until the position is filled.

Apply Now

The Department of Computer Science at Columbia University in the City of New York invites applications for faculty at the rank of Lecturer in Discipline or Senior Lecturer in Discipline in Data Science beginning in the 2025-26 academic year. Lecturers in Discipline are full-time non-tenure-track faculty members whose primary responsibility is teaching. Join our dynamic team, where you’ll work closely with world-class faculty and contribute to cutting-edge research and education in Data Science.

Lecturers in the department enjoy voting rights at faculty meetings, serve on department committees, and earn a Dean’s Leave on a timeline similar to that of tenure-track faculty, offering excellent opportunities for professional development and career advancement. The Department of Computer Science is committed to hiring outstanding teachers to support the growing needs of its exceptionally strong undergraduate and graduate programs. Teaching responsibilities will center on courses in the MS in Data Science program, with a balanced teaching load of two courses per semester.

Apply Now

Reporting to the Chief Operating Officer, the Director of Special Projects will oversee a range of strategic, administrative, operational, and confidential matters involving staff, faculty and researchers, and University partners. This role will act as a key partner to the executive team, providing high-level project development and implementation, leading cross-functional initiatives, stakeholder management, and internal communication facilitation to ensure initiatives are executed effectively and aligned with our organizational goals. The Director, Special Projects will play a pivotal role in managing complex projects from inception to launch, ensuring streamlined operations, clear communications, and positive stakeholder relationships across the Institute and its partners.

Data Science Institute (DSI) at Columbia University is a world-leading institute in research and education in the theory and practice of the emerging field of data science. The Data Science Institute’s mission involves advancing the state of the art in data science; transforming all fields, professions, and sectors through the application of data science, while ensuring the responsible use of data for the benefit of society.

Apply Now

The Data Science Institute at Columbia University is seeking an experienced Executive Director of Research to lead strategic research initiatives and oversee both pre-award proposal development and post-award management teams. This senior leadership role involves collaborating with faculty across Columbia’s 17 schools to secure large-scale funding opportunities, develop aligned research agendas, and drive interdisciplinary partnerships. The ideal candidate will bring 8-10 years of experience in research administration, expertise in grant processes, and strong leadership capabilities. This is a unique opportunity to contribute to the advancement of data science research at a premier academic institution.

Apply Now