About the Job
University of Minnesota Institute for Health Informatics Faculty
Position in Natural Language Processing/Knowledge
Representation/Relational Data Modeling (Tenure/Tenure Track)
The Institute for Health Informatics (IHI) at the University of
Minnesota (UMN), Twin Cities, invites applications for one or more
open rank positions (tenure/tenure track) with specialized
expertise in the Biomedical Artificial Intelligence areas of
Natural Language Processing, unstructured data modeling, and
knowledge representation.
The IHI is an institution-wide Institute with 21 core faculty, 65
affiliate faculty, 3 graduate (MS, MHI and PhD) programs with 80+
students and several joint and affiliate educational programs. IHI
faculty lead investigator-initiated projects in the areas of
Clinical Informatics, Translational Bioinformatics, AI for
Healthcare improvement, Precision Medicine Informatics, Predictive
and Causal Machine Learning, and NLP. They engage in numerous
collaborative proposals across the UMN 6 Health Sciences Schools
and across the disease spectrum. Several NIH-funded centers and
state-wide initiatives are led, co-led or substantially supported
by IHI faculty including major efforts in computational psychiatry,
longevity/aging science, Cancer Research to name a few areas. The
sister CTSI Health Informatics Program provides access to
substantial institutional and external data used for research as
well as extensive data management, consulting and collaborative
science infrastructures and connectivity to collaborators across
the translational spectrum.
The IHI has a strong track record in NLP method development and
applications in EHRs including multiple NIH-funded investigators in
this area. We seek to expand our faculty capacity and capability in
the following AREAS of FOCUS:
• Biomedical NLP using Deep Learning, causal inference and other
forward looking methods.
• Biomedical Knowledge Representation and Reasoning including
computable guidelines, biological pathway modeling and induction
from literature, computational models of cognitive
decision making.
• Analysis of relational database, citation/literature, social
media, and other analysis and
modeling of unconventionally-structured data.
This is an open-rank search including:
• Junior faculty to be appointed as tenure track Assistant
Professors. Successful candidates will have formal doctoral-level
training in AI, Computer Science, Computational Linguistics, LP or
related discipline with extensive training in the health sciences.
They should have early career accomplishments (methodological
innovations, publications, early career grants) that suggest high
likelihood of making significant and nationally-impactful
contributions in their field of study.
• Mid-career or senior faculty to be appointed as
tenure-track/tenured Associate or tenured Full Professors.
Successful candidates will have formal doctoral-level training in
AI, Computer Science, Computational Linguistics, NLP or related
discipline with extensive training in the health sciences. They
should have significant and nationally-impactful career
accomplishments (major methodological innovations, applications,
publications, funding record) that suggest high likelihood of
sustained and expanding nationally-impactful contributions and
thought leadership in their field of study.
The successful faculty candidates will be expected to:
• Develop and lead a research program of enduring scientific
impact in the above AREAS of FOCUS.
• Participate in student and junior faculty mentoring and
teaching in IHI’s graduate programs.
• Participate in various service and shared governance committees
and activities.
• Faculty candidates with appropriate backgrounds can also have
cross-appointments in related fields to help facilitate research
program development and teaching endeavors.
Benefits
Working at the University
At the University of Minnesota, you’ll find a flexible work
environment and supportive colleagues who are interested in
lifelong learning. We prioritize work-life balance, allowing you to
invest in the future of your career and in your life outside of
work.
The University also offers a comprehensive benefits package that
includes:
• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
and degree-seeking programs supported by the Regents Tuition Benefit
Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling
at no cost
• Employee Transit
Pass with free or reduced rates in the Twin Cities metro
area
Please visit the Office of Human Resources website
Location: Minneapolis, MN
Posted: Aug. 28, 2024, 10:35 p.m.
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