Georgia Institute of Technology
4 weeks ago
PhD Positions in Probabilistic Modeling, Bayesian Inference, and Computational Science at Georgia Tech Georgia Institute of Technology in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The post anticipates hiring 1-2 PhD students starting in Fall 2027. It encourages applicants to seek external graduate fellowships such as NSF GRFP, DOE CSGF, and NDSEG; no specific stipend or tuition details are provided.
Country
United States
University
Georgia Institute of Technology

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Aimee Maurais is announcing prospective PhD opportunities for her new research group at Georgia Tech, starting in Fall 2027.
The group will develop geometry- and structure-informed computational methods for probabilistic modeling and inference, with research directions including Bayesian inference, uncertainty quantification, generative modeling, and data science. The work will also involve collaborations with domain scientists and engineers on applications in the physical and life sciences and engineering.
She anticipates hiring 1–2 PhD students. Ideal applicants should have strong preparation in applied or computational mathematics, statistics, or engineering, and should be proficient in at least one programming language.
To apply, prospective students should submit an application to the Computational Science & Engineering PhD program or the Machine Learning PhD program at Georgia Tech, with CSE as the home unit, and mention Aimee Maurais in the application. Applicants are also strongly encouraged to pursue external fellowships such as NSF GRFP, DOE CSGF, or NDSEG, and may email her if they would like help with a fellowship application or need a faculty sponsor.
Applicants who email should include a CV, research interests, reasons for wanting to work with the group, and motivation for pursuing a PhD.
Funding details
The post anticipates hiring 1-2 PhD students starting in Fall 2027. It encourages applicants to seek external graduate fellowships such as NSF GRFP, DOE CSGF, and NDSEG; no specific stipend or tuition details are provided.
What's required
Applicants should have strong backgrounds in applied or computational mathematics, statistics, or engineering, and be proficient in at least one programming language. Prospective students should apply to the Georgia Tech PhD program in Computational Science & Engineering or Machine Learning with CSE as the home unit and mention Aimee Maurais in the application. Fellowship applications are strongly encouraged, and applicants seeking faculty sponsorship should email with a CV, research interests, motivation for working with the group, and reasons for pursuing a PhD.
How to apply
Apply to the Georgia Tech PhD program in Computational Science & Engineering or Machine Learning with CSE as the home unit, and mention Aimee Maurais in your application. If you want faculty sponsorship or fellowship collaboration, email her with your CV and a short description of your research interests and goals.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.