Postdoctoral Research Associate

University of North Carolina, United States

Updated: over 1 year ago
Location: Chapel Hill, NORTH CAROLINA
Job Type: FullTime
Deadline: 22 Dec 2022

Posting Information
Posting Details


Department Renaissance Computing Inst - 637100
Posting Open Date 11/23/2022
Application Deadline 12/22/2022
Open Until Filled No
Position Type Postdoctoral Scholar
Position Title Postdoctoral Research Associate
Vacancy ID PDS003673
Full-time/Part-time Full-Time Temporary
Hours per week 40
FTE 1
Work Location Chapel Hill, NC
Position Location North Carolina, US
Hiring Range Dependent on Qualifications and Experience
Proposed Start Date 01/03/2023
Estimated Duration of Appointment 12 Months

Position Information


Primary Purpose of Organizational Unit
Are you ready to go beyond the state of the art?
At the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data.
We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll:
-Spend your time solving the interesting and unique problems of research and development.
-Shape your future through experimentation and unfettered access to premier education and research.
-Make connections to people and projects that ignite your passion.
We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.
Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.
Position Summary
The Renaissance Computing Institute (RENCI) at UNC Chapel Hill is seeking a Postdoctoral Research Associate to assist with research involved in an NSF Harnessing the Data Revolution Institute project entitled, Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning. Work on the project at RENCI involves developing approaches for the use of bio-ontologies and other structured biological knowledge in machine-learning-based image analysis for species identification, species classification, and morphological trait extraction. This includes incorporation of ontologies into machine-learning algorithms, as well as application of ontologies to create structured output that is Findable, Accessible, Interoperable, and Reusable (FAIR). The candidate will work with the rest of the Imageomics Institute, including both AI researchers and biologists, to collectively define the requirements and to develop prototype ontology-based tools to help investigate a variety of biological problems.
The candidate is expected to work in a team environment together with graduate students, postdoctoral associates, and software engineers in the Imageomics Institute, and work closely with postdoc mentors (Dr. Jim Balhoff at RENCI and Dr. Hilmar Lapp of Duke University) and the rest of the Institute in defining core research directions and advancing the nascent field of imageomics. Ideally the candidate will also forge important directions for their own research and a pathway towards an independent research career.
The postdoctoral research associate will contribute to and participate in meetings, workshops, trainings, conferences; prepare and give presentations on results of the research at conferences; lead and participate in drafting scientific papers reporting results of the research for publication in scientific journals; perform other duties as requested or required to support the work of the research project.
Minimum Education and Experience Requirements
PhD in one of these fields: Biological Sciences, Biodiversity Informatics, Computer Science, Information Science, Computational Biology/Bioinformatics, Informatics, Ecoinformatics, Applied Mathematics or a related field.
Required Qualifications, Competencies, and Experience
Experience in at least one of the following fields: Bio-ontologies, Semantic Web technologies, Image Processing, Artificial Intelligence, Genetic Algorithms, Biodiversity Informatics, Computational Biology, Bioinformatics, Biomedical Informatics, Ecoinformatics or a related field.
Programming experience in a language such as Python, R, Java, or Scala.
Experience in writing grant proposals and scientific publications.
Strong communication, interpersonal, and problem-solving skills.
Preferred Qualifications, Competencies, and Experience
Experience in applying Bio-ontologies, Semantic Web technologies, and Artificial Intelligence/Neural Networks to biological data.
Working knowledge of Unix based operating systems and git version control.
Three years of coding experience.
Special Physical/Mental Requirements
Special Instructions
For information on UNC Postdoctoral Benefits and Services click here
Quick Link https://unc.peopleadmin.com/postings/245262

Posting Contact Information


Department Contact Name and Title Jordan Todd, Sr. HR Consultant
Department Contact Telephone or Email [email protected]
Postdoctoral Affairs Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the University’s Equal Employment Opportunity office at (919) 966-3576 or send an email to [email protected].
Please note: The Equal Employment Opportunity office will not be able to provide specific updates regarding position or application status.
Equal Opportunity Employer Statement
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.

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