Researcher in Advanced AI-assisted 3D and 4D X-ray imaging for materials science applications Full-time

Researcher in Advanced AI-assisted 3D and 4D X-ray Imaging for Materials Science Applications

Lund University was founded in 1666 and is repeatedly ranked among the world's top universities. The University has around 47,000 students and more than 8,800 staff based in Lund, Helsingborg, and Malmö. We are united in our efforts to understand, explain, and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

X-rays have a unique ability to investigate samples in their natural state, such as cells, proteins in solution, or electronic devices, potentially at resolutions up to the atomic level. The advent of diffraction-limited storage rings (MAX IV) and X-ray free-electron lasers (European XFEL) has opened a whole new spectrum of applications due to their unprecedented brilliance. This project aims to enable new spatiotemporal frontiers while reducing the dose using state-of-the-art X-ray sources.

In particular, the candidate will work on the development of novel deep-learning reconstruction algorithms to retrieve 3D and 4D (3D+time) imaging acquired by advanced X-ray imaging techniques. Such developments imply merging state-of-the-art deep-learning approaches with physical knowledge of the studied processes and X-ray imaging formation.

The developed algorithms will be tested and commissioned in different synchrotron radiation facilities: primarily at MAX IV (Sweden), but also at ESRF (France), SLS (Switzerland), PETRA III (Germany), and the European XFEL in Germany.

The project is computational. The successful candidate will have the opportunity to:

• Establish new deep-learning-based algorithms to reconstruct images in 3D and 4D
• Develop new image reconstruction algorithms for 3D and 4D X-ray data analysis, merging physical X-ray knowledge and deep-learning approaches.
• Collaboration with industry and wider society.

The work will be performed in collaboration with several other researchers at local and international facilities, including ETHZ (Switzerland) and Paul Scherrer Institute (Switzerland). Furthermore, the candidate is expected to interact with PhD students and master's students within the Division and the involved research groups.

The candidate will have significant freedom and is expected to take initiative and drive the project quite independently.

Work Duties

Detailed description of the work duties:

• Research within AI and X-ray imaging.
• Teaching in the first, second, and third cycles of studies.
• Opportunity for training in higher education teaching and learning shall be given if teaching is part of the work duties.
• Supervision of degree projects and doctoral students
• Actively seeking external research funding
• Collaboration with industry and wider society
• Administration related to the work duties listed above

The main duties involved in this position is to conduct research.

Qualification Requirements

Applicants must have:

• A PhD or equivalent research qualification within Physics, Computing Science, or equivalent.
• Very good oral and written proficiency in English.
• Experience in X-ray imaging and X-ray experiments with a focus either in materials science (e.g., additive manufacturing) or medical applications
• Experience with programming and using version control software

Assessment Criteria and Other Qualifications

This is a position primarily focused on research. The assessment of the applicants will primarily be based on their research qualifications and potential as researchers.

Particular emphasis will be placed on research skills within the subject.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant's experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Terms of Employment

The position is limited to one year and is full-time.

Instructions on How to Apply

Applications shall be written in English and be compiled into a PDF-file containing:

• résumé/CV, including a list of publications,
• a general description of past research and future research interests (no more than three pages),
• contact information of at least two references,
• copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.