About The Position
The School of Data Science at the University of Virginia and Professor Yong-Yeol (“YY”) Ahn, Quantitative Foundation Distinguished Professor, are excited to announce two professional research staff positions now open for qualified candidates. Research Scientist: This position offers the opportunity to work on a wide range of data science projects, including—but not limited to—network science, AI and machine learning, computational social science, and the science of science. Postdoctoral Research Associate: This position will primarily work on projects in the science of science and visualization, with flexibility to explore related topics such as large language models (LLMs), interpretable embedding spaces, and network science.
Requirements
- Ph.D. in data science, computer science, informatics, statistics, network science, or a related field or master's degree with significant experience.
- Strong record of research productivity, demonstrated through publications or equivalent contributions.
- Expertise in one or more of the following: machine learning, network science, natural language processing, computational social science, causal inference, or science of science.
- Strong software engineering and data visualization skills, as well as research communication skills to both technical and non-technical audiences.
- Experience with large-scale data analysis and modern data science tools.
- Good communication skills and enthusiasm for collaborative, interdisciplinary work.
- Ph.D. in computer science, data science, or a related field.
- Effective written and verbal communication skills.
- Proficient computer programming skills.
Nice To Haves
- Ability to work independently and collaboratively.
- Excellent analytical and communication skills.
- Experience with large-scale data projects.
- Experience with LLMs.
- Experience with building visualization systems.
Responsibilities
- Conduct independent and collaborative research in data science.
- Lead and contribute to grant proposals and funded research projects.
- Develop, implement, and publish novel data-driven methods, models, analyses, and tools.
- Collaborate with faculty, students, and external partners on interdisciplinary research.
- Contribute to the intellectual community of the School of Data Science through seminars, workshops, and mentoring.
Benefits
- Health insurance (UVA Health Plan: choice between 3 different health plans)
- Vision Coverage
- Dental Plan
- Benefit Savings Plans
- Life Insurance
- Disability Benefits
- Paid Time Off (starting with 22 days of time off per year)
- Holidays (12 or more)
- Parental Leave (8 weeks)
- Tuition reimbursement (up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program after six months of employment)
- Professional development (up to $2000 of the total $5250 per calendar year for job-related training, conferences, and initial certificate exams)
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
