Postdoctoral Associate–Computer Science: The Department of Computer Science at the University of South Dakota seeks a Postdoctoral Research Associate to contribute to cutting-edge research in artificial intelligence and machine learning. The successful candidate will work on innovative projects, collaborate with faculty members, and publish in top-tier conferences and journals.
| Designation | Research Area | Location |
|---|---|---|
| Postdoc | Artificial Intelligence, | Vermillion |
| Machine Learning, | ||
| Natural Language Processing, | ||
| Computer Vision |
Eligibility/Qualification:
- Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or related field
- Strong mathematical foundation
- Proficiency in programming languages such as Python, Julia, MATLAB, Rust, and/or C++
- Experience in machine learning, natural language processing, computer vision, robotics, or data mining
- Track record of research excellence with publications in top-tier conferences and journals
- Excellent communication and interpersonal skills
- Strong problem-solving and analytical skills
- Ability to conduct independent research, data management, analysis, and interpretation
Job Description:
- Provide technical leadership in AI and machine learning
- Contribute to ongoing research activities
- Publish work in high-impact scientific conferences and journals
- Assist in writing research grant proposals
- Additional duties as assigned
How to Apply: Please submit a cover letter, CV, research statement, copy of one publication, and contact information for three references to Dr. Rodrigue Rizk (Rodrigue.Rizk@usd.edu). For inquiries, contact Dr. KC Santosh, Chair, Department of Computer Science (santosh.kc@usd.edu).
Last Date for Apply: Applications reviewed on a rolling basis until position filled. First consideration date: 07/07/2023.
Equal Employment Opportunity Statement: The University of South Dakota is committed to fostering a dynamic and welcoming working and learning environment. Equal employment opportunities are provided to all employees and applicants without regard to race, color, creed, religion, sex, ancestry, disability, national origin, or any other factor protected by applicable laws. The university encourages diverse perspectives and free expression.
