Bozeman, MT, USA
7 days ago
Postdoctoral Research Fellow in Statistical Machine Learning
Position Details Position Information

Announcement Number STAFF - VA - 25179 For questions regarding this position, please contact: Michael Wojnowicz
mwojnowicz@hsph.harvard.edu Classification Title Postdoctoral Researcher Working Title Postdoctoral Research Fellow in Statistical Machine Learning Brief Position Overview The Statistical Machine Learning Laboratory at Montana State University, led by Dr. Michael Wojnowicz (https://mikewojnowicz.github.io/), invites applications for a Postdoctoral Research Fellow. Position Number 4C4658 Department Gianforte School of Computing Division College of Engineering Appointment Type Research Professional Contract Term Fiscal Year Semester If other, specify From date If other, specify End date FLSA Exempt Union Affiliation Exempt from Collective Bargaining FTE 1.0 Benefits Eligible Eligible Salary Salary commensurate with experience, education, and qualifications. Contract Type LOA If other, please specify Recruitment Type Open Position Details

General Statement The Statistical Machine Learning Laboratory at Montana State University, led by Dr. Michael Wojnowicz (https://mikewojnowicz.github.io/), invites applications for a Postdoctoral Research Fellow.

We are seeking candidates with strong backgrounds in statistics or mathematics who wish to develop research profiles in statistical machine learning. As a member of our lab, the postdoctoral scholar will develop pioneering methodological research in the field of statistical machine learning.

Our laboratory is publishing in top-tier venues such as The International Conference of Machine Learning (ICML), the Journal of Machine Learning Research (JMLR), Transactions in Machine Learning Research (TMLR), and IEEE Big Data.

Methodological areas of particular interest to our laboratory include (1) probabilistic modeling of spatiotemporal data and (2) the extension of classical statistical methods to large, complex modern datasets.

A primary application area of interest is the SMART FireS project at Montana State University (MSU), supported by a $20 million NSF EPSCoR grant, which aims to improve understanding and management of prescribed fires using cutting-edge machine learning technologies. Other application areas of interest include early cancer detection (with collaborators at Harvard University and The Dana Farber Cancer Institute), cybersecurity (with collaborators at Crowdstrike and Microsoft), and modern treatment of psychological disorders (with collaborators at McLean Hospital, Yale, and UCLA). Duties and Responsibilities Develop and conduct pioneering methodological research in the field of statistical machine learning, including research related to the NSF SMART FIRES grant. Develop machine learning algorithms Apply data science techniques Actively contribute to an interdisciplinary research team. Publish findings Required Qualifications – Experience, Education, Knowledge & Skills Ph.D. in mathematics, statistics, computer science, or related field. Strong background in statistics or mathematics. Preferred Qualifications – Experience, Education, Knowledge & Skills At least one previous publication in the field of mathematics, statistics, computer science, or related field. Experience with spatial modeling, temporal modeling, Bayesian modeling, and/or statistical machine learning. The Successful Candidate Will Ability to cooperate with other researchers and be an effective team player. Excellent written and oral communication skills. Exudes ethical behavior and is a role model for graduate students in the laboratory. Position Special Requirements/Additional Information Continuation of employment is contingent upon the availability of funding.

Interested candidates should submit a cover letter, research statement, and Curriculum Vitae with application. In addition, please advise three referees to submit letters of recommendation.

This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts Montana State University’s rights to assign or reassign duties and responsibilities to this job at any time. Physical Demands To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required. This position has supervisory duties? No Posting Detail Information

Number of Vacancies 1 Desired Start Date Upon completion of a successful search. Position End Date (if temporary) Open Date Close Date Applications will be: Screening of applications will begin on December 3, 2024; however, applications will continue to be accepted until an adequate applicant pool has been established. Special Instructions EEO Statement Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law.

In compliance with the Montana Veteran’s Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran’s preference, please complete the veteran’s preference information located in the Demographics section of your profile. Applicant Documents Required Documents Curriculum Vitae Cover Letter Research Statement Optional Documents Supplemental Questions

Required fields are indicated with an asterisk (*).

Confirm your E-mail: Send Email