- JOB
- Germany
- EXPIRES SOON
Job Information
- Organisation/Company
- Universität Heidelberg
- Department
- Institut für Theoretische Physik
- Research Field
- Physics » OtherComputer science » Other
- Researcher Profile
- First Stage Researcher (R1)
- Positions
- PHD Positions
- Country
- Germany
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Other
- Job Status Extra Information
- Fellowship
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- Horizon Europe - MSCA
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Artificial intelligence not only pushes the boundaries of efficiency and precision in data analysis but transforms the way we think about data in scientific contexts. At the same time high energy physics is building on decades of experience in high quality data analysis combining rigorous uncertainty treatments with a fundamental understanding of data from quantum field theory.
The AIPHY program brings together experts from particle physics and computer science to develop new AI methods in the context of particle physics. The program builds an interdisciplinary PhD network between universities and research institutes in Copenhagen, Geneva, Heidelberg, Milan and Paris.
In this context we invite applications for 9 three-year PhD fellowships open to doctoral students recruited internationally. Candidates are expected to have a Master’s degree in Physics, Computer Science or closely related fields like mathematics. Excellent communication skills (including proficiency in English) as well as enthusiasm for interdisciplinary work are essential for all projects. The successful applicant will enroll in the graduate program of the respective university starting the academic year 2024-2025 (fall 2024) and will be expected to complete the requirements for a PhD by the end of the academic year 2026-2027.
He will also be expected to work co-operatively within the network, participate in European training events, and spend several months at the partner institutes as well as a secondment in a private-sector partner of the network.
The research topics focus on the development of new physics inspired AI methods for inverse problems, uncertainty estimation and explainable AI. Computer science based projects will focus on the method development while physics based projects will include an application theoretical or experimental physics. While the main supervisor will be either from computer science, experimental or theoretical physics, one co-supervisor will be from the complementary field.
Formal application for all positions will have to be sent through the HGSFP:
https://www.physik.uni-heidelberg.de/hgsfp/login.php
The application requires a CV, research statement and at least two letters of recommendation
However, interested candidates should contact their preferred institutes by mail before the application deadline.
Where to apply
- Website
Requirements
- Research Field
- Physics
- Education Level
- Master Degree or equivalent
- Research Field
- Computer science
- Education Level
- Master Degree or equivalent
- Languages
- ENGLISH
- Level
- Excellent
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- ITP, Heidelberg University
- Country
- Germany
- Geofield
- Number of offers available
- 1
- Company/Institute
- IWR, MIISM, Heidelberg University
- Country
- Germany
- Geofield
- Number of offers available
- 1
- Company/Institute
- SCAI, Sorbonne University
- Country
- France
- Geofield
- Number of offers available
- 1
- Company/Institute
- LPNHE, CNRS
- Country
- France
- Geofield
- Number of offers available
- 1
- Company/Institute
- Department of Physics, University of Milan
- Country
- Italy
- Geofield
- Number of offers available
- 1
- Company/Institute
- Department of Computer Science, University of Milan
- Country
- Italy
- Geofield
- Number of offers available
- 1
- Company/Institute
- NBI, University of Copenhagen
- Country
- Denmark
- Geofield
- Number of offers available
- 1
- Company/Institute
- DPNC, University of Geneva
- Country
- Switzerland
- Geofield
- Number of offers available
- 1
- Company/Institute
- Department of Computer Science, University of Geneva
- Country
- Switzerland
- Geofield
Contact
- City
- Heidelberg
- Website
- Street
- Philosophenweg 16
- Postal Code
- 69120