Northeastern University - Boston, MA
posted 19 days ago
Full-time - Entry Level
Boston, MA
10,001+ employees
Educational Services
About the position
The Network Science Institute (NetSI) is seeking a Postdoctoral Research Associate to contribute to a new initiative focused on sports systems analytics. This role involves applying network science and data analytics to analyze sports systems, including player interactions and team dynamics. The position is part of an interdisciplinary research expansion at NetSI, emphasizing predictive analytics and decision-making in sports contexts.
Responsibilities
- Lead and contribute to projects utilizing advanced data science and network theory methods to study sports systems.
- Characterize and analyze sequences of plays (events) in a match.
- Apply causal impact methods for assessing player and team performance.
- Model team dynamics and player market strategies.
- Engage with interdisciplinary teams at NetSI, collaborating on topics such as human mobility, public health, and AI.
- Organize talks, attend workshops, and contribute to collaborative projects exploring intersections of complex systems and societal applications.
- Prepare and present findings through research articles, public presentations, and interactive tools.
Requirements
- PhD in a related discipline (e.g., computer science, applied mathematics, statistics, physics, network science, or sports management) required by the start of the appointment.
- Proven experience working with large, complex datasets, with strong programming skills (Python preferred).
- Familiarity with temporal networks, sequence modeling, hidden Markov models, or causal inference/analysis is highly desirable.
- Demonstrated interest or experience in sports analytics, with a track record of applying quantitative methods to analyze player, team, or market dynamics.
- Strong ability to analyze and visualize data for diverse audiences.
Nice-to-haves
- Experience with interactive web-based tools or geospatial data visualization is a plus.
- Eagerness to collaborate within a multidisciplinary team and mentor students.
Benefits
- Medical insurance
- Vision insurance
- Dental insurance
- Paid time off
- Tuition assistance
- Wellness programs
- Life insurance
- Retirement benefits
- Commuting and transportation assistance
