PhD Research Scholar: The University of Hamburg presents an exciting scholarship opportunity for individuals looking to contribute to the potential discovery of new fundamental particles. This project aims to combine cutting-edge techniques to enhance anomaly detection capabilities in particle physics. Join us in developing robust and calibrated generative models for anomaly detection within the energetic and dynamic environment of the Large Hadron Collider (LHC) at CERN.
Scholarship Opportunity: Building Robust and Calibrated Generative Models for Anomaly Detection
Designation: PhD Research Scholar
Research Area: Building Robust and Calibrated Generative Models for Anomaly Detection in Particle Physics
Location: University of Hamburg, Germany
Eligibility/Qualification:
- A Master’s degree in computer science or physics
- Proficiency in Python and familiarity with modern machine learning libraries
- Desirable: Experience with generative machine learning models, anomaly detection techniques, or particle physics analysis pipelines
- Preference will be given to female applicants, as they are currently underrepresented in this field
Job Description: As a PhD Research Scholar, you will be involved in pioneering research to quantify the uncertainty of generative models and apply them to improve anomaly detection capabilities in particle physics. This role offers opportunities to collaborate with leading experts in the field and contribute to the development of innovative approaches in the search for new physics.
How to Apply: Interested candidates are invited to submit their applications via email to application-dashh@desy.de. For inquiries and additional information, please contact Tel +49 (0)40 8998 2718.
Last Date for Apply: The application deadline is October 20th, 2024.
Requirements | |
---|---|
Field | Computer Science, Physics |
Technical Skills | Proficiency in Python, ML libraries |
Experience | Generative ML models, Anomaly Detection |
Gender Preference | Female applicants encouraged |
Work Hours and Benefits | Flexible working hours, Work-life balance |
Equal Opportunity | Initiative supports gender and disability equality |