Departmental Positions
The department has a number of part-time academic positions that are open to students each semester. Please reach out to your advisor to inquire about available positions including:
Research Opportunities
Below is a listing of research projects that are being offered by professors in the Chemical Engineering department. Please refer to the respective websites for project descriptions and requirements. Academic credit may be given at the discretion of the faculty advisor. Depending on the project and individual faculty, registration options for summer research may be: (a) Research for Credit with paid tuition: course CHEN E9400 (b) ENGI 4900 (0 credit, no tuition) - Graduate Summer Research Projects, ENGI 3900 (0 credit, no tuition) -Undergraduate Summer Research Projects
Ongoing
Electrochemical Engineering
Experimental and theoretical electrochemistry applied to batteries, electrodeposition, fuel cells, and electrolytic processes.
Both BS and MS. Contact Alan West ([email protected]).
Studies of Multiphase and Granular Flows for Sustainable Energy
This project will involve experimental and/or simulation studies of multiphase and granular flows as applied to emerging technologies in e.g. sustainable mining, pharmaceutical mixing and hydrogen production. Contact Prof. Boyce expressing interest ([email protected]).
Both BS and MS. Boyce Group https://boyce.cheme.columbia.edu/
Computational molecular simulation of biological systems. Quantitative analysis of biological experimental images and other data.
Computational molecular simulation of biological systems. Quantitative analysis of biological experimental images and other data.
(1) Computational simulations to establish the mechanism used by the SARS-CoV-2 spike protein machinery to enter target cells, the first step of infection. Simulations to search for candidate anti-viral drugs.
(2) Analysis of high resolution optical microscopy experimental movies of neurotransmitter release and hormone release events to establish mechanisms of neurotransmission and neuromodulation.
(3) Machine learning to decipher complex tissue morphogenesis events during embryo development, including effects of intrinsic cellular stochasticity.
(4) Machine learning to accelerate computational simulations of cellular and multicellular systems.
Skills required: Some standard programming skills.
Both BS and MS. O'Shaughnessy group oshaughnessy.research.columbia.edu/
Spring 2022
Structuring Multiphase and Granular Flows
This project involves conducting experiments and/or simulations of multiphase and granular flows to identify ways to induce controllable structure in the flows. These structured flows will be used to create sustainable mining separations, improve pharmaceutical production and create hydrogen production reactors for ships. Contact Prof. Boyce expressing interest ([email protected]).
Both BS and MS. 10 Hours per week. 2 positions available. Boyce Lab, Hybrid (both remote and on site), https://boyce.cheme.columbia.edu/
Fall 2022
Structuring Multiphase and Granular Flows
This project involves conducting experiments and/or simulations of multiphase and granular flows to identify ways to induce controllable structure in the flows. These structured flows will be used to create sustainable mining separations, improve pharmaceutical production and create hydrogen production reactors for ships. Contact Prof. Boyce expressing interest ([email protected]).
Both BS and MS. Boyce Lab, Hybrid (both remote and on site), https://boyce.cheme.columbia.edu/
Undergraduate Research on Aerosols and Air Quality
Participate in McNeill Group research on aerosol science, air quality, and atmospheric chemistry. Prof. McNeill will work with the candidate to find a suitable project based on the students interests, preferences, and background. Examples of past projects include laboratory studies of aerosol chemistry or mask filtration, ventilation studies, data analysis and visualization of air pollution data from the Clean Air Toolbox for Cities initiative, numerical modeling of indoor and outdoor atmospheric chemistry/air quality, COVID transmission risk modeling, and literature review. The McNeill group performs laboratory work, numerical modeling, data analysis and field work. The project may be independent or in partnership with another group member based on the project and the student's preferences. Prof. McNeill will work with the candidate to find a suitable project based on the students interests, preferences, and background. Contact Prof. McNeill expressing interest ([email protected]). mcneill-lab.org, aqtoolbox.org
8 hours/week minimum. Multi-semester research preferred but not required. SEAS undergraduate students at any stage may apply. SEAS Undergraduate students at any stage may apply. Optional, on site or remote. Minimum 8 hours per week. 4 Positions available.