[Job-offers-cs] Postdoctoral fellow in applied math/data science at Brandeis University

[Pekka Orponen]

A postdoctoral position is available at Brandeis University to work on 
geometric algorithms for machine learning (hosted by Tyler Maunu). 
Mathematical techniques include metric geometry, optimization, and 
stochastic differential equations. Potential research topics will lie at 
the intersection between optimal transport and machine learning, and may 
consider algorithms for embeddings, variational inference, or sampling. 
The successful candidate will join the Mathematics Department at 
Brandeis University (www.brandeis.edu/departments/mathematics 
<http://www.brandeis.edu/departments/mathematics/>). The position is for 
1 year, with a potential for extension contingent on funding and 
satisfactory progress. The postdoc will be able to participate in 
seminars and journal clubs, obtain mentoring experience, and has a 
potential for teaching opportunities.

First consideration will be given to applications received by February 
15, 2022. Applications should be submitted through MathJobs.org, 
www.mathjobs.org/jobs/list/19289, 
<https://www.mathjobs.org/jobs/list/19289,> and should include an AMS 
cover sheet, a curriculum vitae, a research statement, and three letters 
of recommendation. The expected start date is July 1, 2022 but is 
negotiable. Candidates should hold a Ph.D. in mathematics or a related 
topic, including statistics, computer science, or engineering, by the 
starting date, have an excellent track record of scholarship, and have 
experience in machine learning theory as well as programming experience 
in a relevant language, such as Python or Matlab.

Inquiries should be sent to Tyler Maunu at maunu at brandeis.edu with the 
subject heading "Postdoctoral Research Associate".

At Brandeis, we believe that diversity, equity, and inclusion are 
essential components of academic excellence. Brandeis University is an 
affirmative action, equal opportunity employer that is committed to 
creating equitable access and opportunities for applicants to all 
employment positions. Because diversity, equity, and inclusion are at 
the core of Brandeis' history and mission, we value and are seeking 
candidates that represent a variety of social identities, including 
those that have been underrepresented in higher education, who possess 
skills that spark innovation, and who, through their scholarly pursuits, 
teaching, and/or service experiences, bring expertise in building, 
engaging, and sustaining a pluralistic, just, and inclusive campus 
community.



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Tyler Maunu
Brandeis University
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