Postdoc Position in Machine Learning: Aarhus University (AU) is offering a fully funded 2-year postdoctoral position at the intersection of Computer Science and Physics. This research opportunity aims to develop machine learning methods applicable to data-intensive experimental science, particularly focusing on fluctuating quantum materials through Angle-Resolved Photoemission Spectroscopy (ARPES).
Postdoc Position in Machine Learning for Physics at Aarhus University
Designation
Postdoctoral Researcher
Table of Details
| Detail | Information |
|---|---|
| Department | Computer Science |
| Expected Start | 1 June 2025 |
| Duration | Fixed-term full-time position from 1 June 2025 to 31 May 2027 |
| Location | Åbogade 34, 8200 Aarhus N, Denmark |
| Application Deadline | 16 April 2025 at 23:59 CEST |
Research Area
Machine Learning, Physics, Angle-Resolved Photoemission Spectroscopy (ARPES), Data Management and Analysis
Eligibility/Qualification
- PhD in Computer Science, Physics, Machine Learning, Statistics, or related fields.
- Excellent publication record in top-ranked journals or conferences in data mining, machine learning, solid-state physics, or related areas.
- Ability to work independently and collaboratively.
- Strong oral and written communication skills in English.
- Proficiency in programming languages such as C++ and Python.
- Advanced experience in one or more of the following areas:
- Machine Learning and Deep Learning
- Solid State Physics, specifically ARPES
- Data Management and Analysis
- Bayesian Optimization methods
Job Description
- Conduct scientific research at the interface between computer science and physics.
- Publish in premier international conferences and journals.
- Collaborate with scientists from both Computer Science and Physics departments.
How to Apply
Interested candidates should submit the following documents:
- Letter of interest outlining motivation to apply
- PhD diploma
- Curriculum Vitae (CV) including a complete list of publications
- Two relevant publications
- Two reference letters (to be uploaded separately)
All applications must be submitted in English via Aarhus University’s recruitment system.
Last Date to Apply
16 April 2025 at 23:59 CEST
For further inquiries, candidates can contact:
- Profs. Philip Hofmann: philip@phys.au.dk
- Panagiotis Karras: piekarras@gmail.com
This is a unique opportunity to make a significant impact in the fields of machine learning and physics at a prestigious institution characterized by professionalism, equality, and a healthy work-life balance.
