Posting Information
Posting Details
Department | Computer Science - 318400 |
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Posting Open Date | 01/17/2024 |
Application Deadline | 01/17/2025 |
Open Until Filled | Yes |
Position Type | Postdoctoral Scholar |
Position Title | Post-Doc Research Associate |
Vacancy ID | PDS004076 |
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 Experience and/or Qualifications |
Proposed Start Date | 07/01/2024 |
Estimated Duration of Appointment | 24 Months |
Position Information
Be a Tar Heel! | A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community. |
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Primary Purpose of Organizational Unit | The Department of Computer Science is one of 16 science departments and curricula in the College of Arts and Sciences. It is a major teaching department with more than 30 tenured/tenure track faculty, four teaching track faculty, eight research faculty, and 18 adjunct faculty, who serve more than a thousand undergraduate students and hundreds of graduate students and postdoctoral fellows. Teaching and research activities are currently assisted by nearly 200 graduate students. Twenty-four SHRA positions and eight EHRA-NF positions, including technical and administrative personnel, support the infrastructure of the department. Our driving research ideal is collaboration-as it has been since the founding of our department in 1964. We believe that computer science’s greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new research with our colleagues and with scientists in other departments across campus, including in science, medicine, and the humanities. Numerous computer science faculty members have adjunct or joint appointments in other departments, lead large interdisciplinary research groups, and collaborate with colleagues from multiple universities across the Research Triangle, the United States, and even the world. |
Position Summary | A post-doctoral researcher position is available at UNC in the UNC-NLP Lab, focused on Natural Language Processing (NLP) and Machine Learning (ML), led by Professor Mohit Bansal. The focus of this NLP+ML postdoc position will include, but is not limited, to multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral scholar will include aiding the research of graduate students on NLP+ML projects and leading research directions complementary to theirs that fall within the scope of the Lab. The postdoctoral research scholar will have some freedom to to create a research agenda, as well as opportunities to advise graduate and undergraduate students in the lab, collaborate with the several other AI faculty (vision/robotics/ML) in the department and teach courses if they choose to do so. |
Minimum Education and Experience Requirements | Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area. |
Required Qualifications, Competencies, and Experience | Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area. |
Preferred Qualifications, Competencies, and Experience | Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or PyTorch -Demonstrated strong communication, teamwork, and leadership skills |
Special Physical/Mental Requirements | |
Special Instructions | For information on UNC Postdoctoral Benefits and Services click here |
Quick Link | https://unc.peopleadmin.com/postings/272979 |
Posting Contact Information
Department Contact Name and Title | Tatyana Davis, Business Operations Assistant |
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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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