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AIPHY - PhD Positions for Machine Learning in Particle Physics

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20 Jun 2024

Job Information

Organisation/Company
Universität Heidelberg
Department
Institut für Theoretische Physik
Research Field
Physics » Other
Computer 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.

Requirements

Research Field
Physics
Education Level
Master Degree or equivalent
Research Field
Computer science
Education Level
Master Degree or equivalent
Languages
ENGLISH
Level
Excellent

Additional Information

Website for additional job details

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

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