Posting Information
Posting Information
Department | Computer Science - 318400 |
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Career Area | Information Technology |
Posting Open Date | 06/27/2022 |
Application Deadline | 06/30/2022 |
Position Type | Temporary Staff (SHRA) |
Position Title | Research Technician |
Position Number | 20033975 |
Vacancy ID | S019984 |
Full-time/Part-time | Part-Time Temporary |
Hours per week | 20 |
Work Schedule | M-TH 9:00am-2PM |
Position Location | North Carolina, US |
Hiring Range | $15.00-$20.00 |
Proposed Start Date | 07/05/2022 |
Estimated Duration of Appointment | 6 months not to exceed 11 months |
Position Information
Primary Purpose of Organizational Unit | The Department of Computer Science is one of 16 science departments and curricula in the College of Arts & Sciences. It is a major teaching department with more than 30 tenured/tenure track faculty, nine research faculty, and 28 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. 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. |
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Position Summary | The research assistant will continue working on an existing project and focus on more advance NLP model development, including the following tasks: – Develop machine learning and natural language processing models and conduct experiments to improve existing performance. – Conduct data annotation to add labels to some existing data – Design and develop appropriate applications for previous project and integrate new models on the applications. |
Minimum Education and Experience Requirements | Demonstrated possession of the competencies necessary to perform the work. |
Required Qualifications, Competencies, and Experience | Demonstrated possession of the competencies necessary to perform the work. |
Preferred Qualifications, Competencies, and Experience | Motivated and passionate about solving problems and doing research. – Have reasonably solid skills in coding and are preferably also comfortable reading some basic research papers and clearly formulating mathematical ideas. – Preferably already interested in computation linguistics and machine learning and natural language processing (and/or its multimodal connections to vision and robotics). – Prefer some form of prior research experience |
Special Physical/Mental Requirements | NA |
Campus Security Authority Responsibilities | Not Applicable. |
Special Instructions | |
Quick Link | https://unc.peopleadmin.com/postings/234189 |
Temporary Employment Policies | Temporary Employment Policies |
Posting Contact Information
Office of Human Resources Contact Information | If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to [email protected] Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status. |
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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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