Associate Professor or DTU Tenure Track Assistant Professor in High-Performance Computing

Job Description

Do you want to advance high-performance computing?

Join the Embedded Systems Engineering section at DTU Compute and develop research on programming models, compilers, operating systems or computer architecture. We provide intellectual freedom, a balanced teaching load, state-of-the-art facilities, and proposal support.

Responsibilities And Qualifications

We seek a tenure-track assistant professor or associate professor whose research advances parallel and high-performance computing. Relevant areas include computer architecture, operating systems, compilers and the intersection thereof. We are specifically interested in candidates that work with future and emerging technologies for HPC, including the post-exascale era. Energy efficiency and sustainable HPC are of high interest. We are also building a significant effort around the integration of HPC and quantum computing and therefore candidates who can bridge these domains with computer architecture are of high interest.

DTU has its own HPC systems, including the DTU Computing Centre, and you can connect to our funded European projects, including EuroQHPC-I. The projects come with postdocs, PhD students, and access to European computing infrastructure. Experience with quantum computing software stacks or hybrid HPC-quantum systems is an advantage.

• Publish high-quality research in leading journals and conferences.
• Attract competitive research funding in Denmark and Europe.
• Teach and develop courses in parallel computer systems, parallel programming, and HPC, and supervise BSc, MSc, and PhD students.
• Build a strong research environment within ESE and with external partners.
• Represent ESE and DTU Compute in international projects, networks and academic committees.

You must be responsible for the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both.

As a formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training.

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

• Experience and quality of teaching
• Research experience
• Research vision and potential
• International impact and experience
• Societal impact
• Innovativeness, including commercialization and collaboration with industry
• Leadership, collaboration, and interdisciplinary skills
• Communication skills

Salary and terms of employment

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. In addition, supplements can be negotiated in accordance with DTU's salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The starting date is according to mutual agreement. The position is full-time and based at DTU Lyngby Campus.

The assistant professor position is part of DTU's Tenure Track program. Read more about the program and the recruitment process here .

You can read more about career paths at DTU here .

Further information

Further information may be obtained from Prof Sven Karlsson and Prof Paul Pop .

Read more about the position, ESE, DTU Compute, and working in Denmark on our faculty positions information page .

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU - Moving to Denmark .

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

Embedded Systems Engineering is one of DTU Compute's research sections. We develop context-aware, distributed and embedded cyber-physical systems across the computing continuum. DTU Compute brings together mathematics, data science, computer science and computer engineering to create research and technology that benefit society.

DTU Compute - Department of Applied Mathematics and Computer Science - is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interac