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Montana State University – Postdoctoral Research Fellow in Statistical Machine Learning
Company Information: Montana State University (MSU) offers a vibrant and supportive environment for postdoctoral researchers, combining academic rigor with a collaborative culture in a stunning natural setting. Located in Bozeman, a city known for its proximity to Yellowstone National Park and the Rocky Mountains, MSU provides unparalleled access to outdoor recreation, from hiking, fishing, and camping to biking, rock climbing, and skiing.
Position Title: Postdoctoral Research Fellow in Statistical Machine Learning
Duties and Responsibilities: The Statistical Machine Learning Laboratory at Montana State University, led by Dr. Michael Wojnowicz (https://mikewojnowicz.github.io/), invites applications for a Postdoctoral Research Fellowship.
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 Harvard Medical School and McLearn Hospital).
Position Qualifications: Applicants should have a Ph.D. and at least one publication in mathematics, statistics, computer science, or a related field before starting the position.
Salary Range:
Benefits:
Website:
Application Information: Interested candidates should send a cover letter, research statement, and Curriculum Vitae to mwojnowicz@hsph.harvard.edu.
Contact Email:
Application Deadline:
Company NameMontana State University
Company Information
Montana State University (MSU) offers a vibrant and supportive environment for postdoctoral researchers, combining academic rigor with a collaborative culture in a stunning natural setting. Located in Bozeman, a city known for its proximity to Yellowstone National Park and the Rocky Mountains, MSU provides unparalleled access to outdoor recreation, from hiking, fishing, and camping to biking, rock climbing, and skiing.
Position TitlePostdoctoral Research Fellow in Statistical Machine Learning
Duties and Responsibilities
The Statistical Machine Learning Laboratory at Montana State University, led by Dr. Michael Wojnowicz (https://mikewojnowicz.github.io/), invites applications for a Postdoctoral Research Fellowship.
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 Harvard Medical School and McLean Hospital).
Position Qualifications
Applicants should have a Ph.D. and at least one publication in mathematics, statistics, computer science, or a related field before starting the position.
Application Instructions
Interested candidates should send a CV to mwojnowicz@hsph.harvard.edu. For complete job announcement and application procedures, click on: https://jobs.montana.edu/postings/44263 .
Montana State University 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.