Postdoctoral Research Associate

**Job Description**
Seeking a highly motivated researcher with a strong background and interest in machine learning and artificial intelligence. This position focuses on the development and application of advanced deep learning models, emphasizing techniques such as knowledge distillation. The role involves engaging in research focused on time-series analysis, including modeling, forecasting, and anomaly detection, to contribute to innovative solutions in these areas.

**Skills & Abilities**
• Demonstrated expertise working with multivariate time-series and spatiotemporal datasets.
• Advanced proficiency in Python.
• 1-2 years of hands-on experience with PyTorch or TensorFlow.
• Documented scholarly achievements in applied statistics, machine learning, or deep learning (e.g., peer-reviewed publications, conference presentations).
• Proven ability to work effectively with various faculty, as well as undergraduate and graduate students.
• Capability to function both independently and within a multidisciplinary research team.
• Strong organizational and time-management skills, proactivity, accountability, and a solid work ethic.
• Ability to manage multiple projects simultaneously and cooperate with colleagues.
• Strong understanding of the mathematics of neural networks (Preferred).
• Prior significant contributions to advanced machine-learning or deep-learning models (Preferred).
• Evidence of having led a key research project, indicated by a first-author or corresponding-author paper in a leading peer-reviewed journal or conference (Preferred).

**Qualifications**
Required Degree(s) in:
• Ph.D. in Data Science
• Ph.D. in Statistics
• Ph.D. in Mathematics
• Ph.D. in Computer Science
• Ph.D. in a closely related field

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