The Simons Foundation's Flatiron Institute, Center for Computational Mathematics (CCM), in collaboration with The Cooper Union's Department of Computer Science, seeks to advance scientific research through computational methods, particularly in machine learning. This joint position aims to bridge academic teaching and cutting-edge research by developing novel algorithms, analyzing large datasets, and contributing to the scientific community through publications and software.
Requirements
- Expertise in all areas of machine learning including deep learning, Bayesian statistics, probabilistic modeling, optimization, learning theory, high dimensional data analysis and visualization, computer vision, and applications of machine learning for science.
- An earned doctorate in computer science or closely related area of computational science and engineering is required.
- Two or more years of postgraduate research experience
- Ability to do original and outstanding research in machine learning
- Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific simulation
- Expertise in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, and data analysis
- Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
Responsibilities
- Conduct research in a scientific area of relevance to the CCM and/or develop and implement novel algorithms and codes needed for CCM-related research
- Publish research in refereed scientific and technical journals and present research at scientific conferences
- Provide publicly available software for use by the scientific community
- Manage and participate in collaborative efforts within the Flatiron Institute and the Simons Foundation, as well as outside scientific collaborators
- Supervise research conducted by Flatiron research fellows and graduate and undergraduate students from neighboring institutions
- Teach broadly across the undergraduate computer science curriculum, including courses such as introductory programming, data structures and algorithms, and advising project courses at all levels
- Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific simulation
Other
- The position is a 50-50 joint appointment between The Cooper Union and CCM, with the appointee allocating half of their effort in each place.
- At The Cooper Union, the position is a tenured track full-time faculty position in computer science and will be engaged in accordance with Cooper Union’s relevant policies and procedures.
- At CCM, the position will be at the Associate Research Scientist level, in accordance with the Simons Foundation’s relevant policies and procedures.
- The position is based at the Simons Foundation and The Cooper Union offices in New York City.
- Oral and written communication, data documentation, and presentation skills required
