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Postdoctoral Research Associate

Company Information

The University of Connecticut is a national leader among public research universities, with more than 32,000 students seeking answers to critical questions in classrooms, labs, and the community. A culture of innovation drives this pursuit of knowledge throughout the University’s network of campuses. Connecticut’s commitment to higher education helps UConn attract students who thrive in the most competitive environments, as well as globally renowned faculty members. Our school pride is fueled by a history of success that has made us a standout in Division I athletics. UConn fosters a diverse and vibrant culture that meets the needs and seizes the opportunities of a dynamic global society.

Duties and Responsibilities

JOB SUMMARY
The Department of Statistics at the University of Connecticut (UConn) invites applications for a postdoctoral associate position under the mentorship of Dr. Kun Chen (https://kun-chen.uconn.edu). This position is open immediately until filled, with an anticipated start date in Spring 2021. The initial appointment is for one year with an expected appointment length of 2-3 years upon satisfactory performance and funding availability.

This position involves primarily NIH-funded statistical and machine learning research in the following directions:
1. Statistical theory and methodology for data integration and data fusion.
2. Statistical theory and methodology for transfer learning.
3. Statistical and machine learning methods for building risk prediction models for rare events, in particular, suicide and mental health related outcomes, with large-scale EHR and medical claims data.

For introductions to the related projects, please check the following:
• https://projectreporter.nih.gov/project_info_details.cfm?aid=10104208&icde=51777592
• https://projectreporter.nih.gov/project_info_description.cfm?aid=10155895&icde=51777614&ddparam=&ddvalue=&ddsub=&cr=1&csb=default&cs=ASC&pball=
• https://grantome.com/grant/NIH/R01-MH112148-01A1

Besides solid training in methodological research, the fellow will also gain collaborative and interdisciplinary research experiences in a diverse research team of statisticians, computer scientists, behavioral science and population health researchers, and clinicians. In particular, the fellow is expected to collaborate closely with the Center for Population Health at the UConn Health Center (https://health.uconn.edu/population-health/).

APPOINTMENT TERMS
The position is full-time, 12-month, with an anticipated start date in Spring 2021. The appointment is for 1 year with an expected appointment length of 2-3 years upon satisfactory performance and funding availability. Salary will be commensurate with qualifications and interests.
At the University of Connecticut, our commitment to excellence is complemented by our commitment to building a culturally diverse community.
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
This job posting is scheduled to be removed at 11:55 p.m. Eastern time on January 7, 2021.
All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.
The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

Position Qualifications

MINIMUM QUALIFICATIONS
Ph.D. in statistics, biostatistics, computer science, or related quantitative fields.

PREFERRED QUALIFICATIONS
Research experience in statistical and machine learning theory/methodology; proficiency/experience in R/Python/C++; excellent writing and communication skills.