Postdoc position in Machine Learning for Physics at Department of Computer Science - Aahus University

Are you interested to have an impact on how data-intensive experimental science is done?

A fully funded 2-year postdoctoral positions is available in an interdisciplinary project at the departments of Computer Science and Physics and Astronomy at Aarhus University (AU). The position is part of a DFF grant that aims to develop machine learning methods for discerning and learning the constituent states of a fluctuating quantum material with high quality via Angle-Resolved Photoemission Spectroscopy (ARPES).

The project aspires to carry on with a long tradition, in which experimental physics has relied on, and has often acted as a driving force for computer science to initiate research towards in complex analytical tasks via unsupervised ML, allowing for an understanding of measurements at simultaneously high spatial and temporal resolution. While the physics motivation is driving the process, this opens data science questions that need to be addressed by new algorithms.

Expected start date and duration of employment
This is a 2–year position from 1 June 2025 or as soon possible.
Job description

• conduct scientific research at the interface between computer science and physics.
• publish in premier international conferences and journals.
• collaborate with scientists in both departments.

Your profile

• 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.
• demonstrated ability to work independently and in a team.
• excellent oral and written communication skills in English.
• good programming skills in C++ and Python.
• Advanced experience in at least one of the following areas:

           Machine Learning and Deep Learning.
           Solid State Physics, in particular angle-resolved photoemission spectroscopy.
           Data Management and Analysis.
           Bayesian Optimization methods.
 Applicants should submit:

• Letter of interest stating the motivation to apply.
• PhD diploma.
• CV including complete list of publications.
• 2 relevant publications.
• 2 reference letters to be uploaded separately.

What we offer
The department/centre offers:

• a well-developed research infrastructure, laboratories and access to shared equipment
• an exciting interdisciplinary environment with many national, international and industrial collaborators
• a research climate encouraging lively, open and critical discussion within and across different fields of research
• a work environment with close working relationships, networking and social activities
• a workplace characterised by professionalism, equality and a healthy work-life balance.

Place of work and area of employment
The place of work is Department of Computer Science, Åbogade 34, 8200 Aarhus N.

Contact information
For further information, please contact Profs. Philip Hofmann ([email protected]) and Panagiotis Karras ([email protected]).

Deadline
Applications must be received no later than 16 April, 2025.


Application procedure

Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants.


Letter of reference

If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in question before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline. Unfortunately, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration.

If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: [email protected]


Formalities and salary range

Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.

The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.

Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.

Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.

Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.

Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more here. Please find more information about entering and working in Denmark here.

Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here.

At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in their career development. We focus on competency development and career clarification and want to make your opportunities transparent. On our website, you can find information on all types of scientific positions, as well as the entry criteria we use when assessing candidates. You can also read more about how we can assist you in your career planning and development.

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.

 


Aarhus University

Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more at www.international.au.dk/