Computing undergraduate intern — Summer 2027 Opens in a new tab
Practical research with Computing staff. Students starting a graduate program in Fall 2027 should use the graduate computing internship.
Internships, postdocs, and jobs shared with the chapter. Apply on the employer’s website.
Practical research with Computing staff. Students starting a graduate program in Fall 2027 should use the graduate computing internship.
Technical and research work with Computing staff in computational science, cyber defense, numerical methods, and related areas.
A scoped Modeling, Optimization and Data Science project in machine learning, scientific computing, optimization, or reinforcement learning.
Summer internships of about three months, and fall or spring co-ops of about four to five months.
Nine to ten weeks of full-time work alongside Goldman Sachs teams.
GPU-accelerated decision optimization on the cuOpt team, including parallel algorithms and large-scale numerical software.
Funding for a postdoc and an off-site mentor to carry out a research and mentoring plan. Up to four pairs are selected each year.
Interpretable machine learning for segmentation, classification, and anomaly detection in large 3D volumetric datasets. One to three years.
Methods to extract, integrate, and reason over text, images, video, time series, and structured data. One to three years.
Embedding neural-network and other surrogate models in mixed-integer and nonconvex optimization. One to three years.
Physics-informed and data-driven methods, including PINNs, neural operators, and hybrid AI/physics models. One to three years.
Discrete-event, system-dynamics, and agent-based simulation for digital twins of operational and market systems. One to three years.
A three-year SIAM fellowship with membership, conference travel support, and mentoring in the SIAM community.
A two-year fellowship, starting January 1, 2027, on science funding and advocacy, including SIAM Committee on Science Policy meetings and Capitol Hill visits.
Two tenure-track IMSE positions beginning Fall 2027, one in automation and robotics and one in smart manufacturing.
Early-career Modeling, Optimization and Data Science role applying machine learning, scientific computing, or optimization to engineering and business problems.
To share an opening with the chapter, use the contact page.