Publisher
source

University of Luxembourg

Postdoctoral Researcher in HPC University of Luxembourg in Luxembourg

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

Luxembourg

University

University of Luxembourg

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Keywords

Computer Science
Education
Information Technology
Software Engineering
Computational Science
Educational Technology
High Performance Computing
Digital Learning
Computer Architecture
Distributed Algorithms

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About this position

Postdoctoral Researcher in HPC at the University of Luxembourg, within the Faculty of Science, Technology and Medicine (FSTM) and the EuroHPC Virtual Training Academy (EVITA). The role contributes to a European training ecosystem for High-Performance Computing (HPC) and emerging technologies, with a focus on the Competence and Qualification Framework (CQF), skills mapping, qualification schemes, training module development, quality assurance, and integration of content into the EVITA platform.

This post is well suited to candidates interested in the intersection of HPC, computer science, computational science, educational technology, and digital training. The successful applicant will help develop and improve technical training materials, courses, and learning resources; support the alignment of training content with competencies and evolving technology needs; assist with validation and maintenance of training content; and contribute to project deliverables, reports, and technical documentation.

The University of Luxembourg highlights its multilingual, interdisciplinary, and international environment, with strong links to European institutions and non-academic partners. The position is based at the Belval Campus in Esch-sur-Alzette, Luxembourg, and is a fixed-term full-time contract for 24 months. The yearly gross salary is EUR 87,306 for a full-time postdoctoral researcher.

Eligibility requires a PhD in Computer Science, High-Performance Computing, Computational Science, or a closely related technical discipline, together with an interest in education, training, or skills development. Applicants should be able to understand and communicate complex technical concepts clearly, work collaboratively in interdisciplinary and international settings, and have excellent English. Desirable experience includes creating or reviewing technical training materials, familiarity with competence frameworks, micro-credentials, certification, skills mapping, and experience with online learning platforms or collaborative European projects.

To apply, candidates must submit a PDF package containing a CV, cover letter, PhD diploma or expected defense information, transcript of university-level courses and results, and a list of publications. Applications must be submitted online via the HR system; email applications are not accepted. The vacancy is processed on a rolling basis, so early application is encouraged.

Funding details

Available

What's required

PhD in Computer Science, High-Performance Computing, Computational Science, or a closely related technical discipline is required, with experience or a strong interest in education, training, or skills development. Applicants should have sound knowledge of HPC concepts and technologies, be able to work with technical HPC content, and communicate complex technical concepts clearly. Strong ability to work in collaborative, interdisciplinary, and international environments is expected, along with excellent English. Desirable experience includes developing, delivering, or reviewing technical training materials or courses; familiarity with competence or qualification frameworks, skills mapping, certification, or micro-credentials; experience with digital training environments or learning management systems; and experience contributing to European or other collaborative projects.

How to apply

Prepare a PDF application including a CV, cover letter, PhD diploma or expected defense information, transcript, and list of publications. Apply online through the HR system; applications by email will not be considered. Early application is encouraged because applications are processed upon receipt.

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