Associate Professor in Quantum Graph Theory

We are seeking a candidate whose research concerns the interplay between combinatorics and quantum information, with a particular focus on graph theory. This includes but is not limited to the application of combinatorial/graph-theoretic tools to the study of entanglement, as well as research on quantum inspired graph relations/parameters and their combinatorial consequences. Additionally, familiarity with quantum groups will be viewed positively.

Responsibilities and tasks
We are seeking a candidate who is strongly committed to both research and teaching and will be able to interact closely with the existing graph theory group as well as other groups at DTU compute. In particular, the candidate is expected to actively engage in developing and strengthening the connection of DTU Compute to quantum science in relation to both research and teaching.

Furthermore you:

• will contribute to the teaching at all levels at DTU, in particular, in the area of discrete mathematics.
• are expected to participate in the ongoing work to establish a new master’s program in Quantum Science jointly with DTU Physics and the University of Copenhagen.
• will contribute to the teaching of the Quantum Master of Science program, once established and to engage in coordinating the program with the QMATH centre at the University of Copenhagen
• should be committed to motivate your colleague’s interest in quantum applications.
• should be prepared to interact with the physics department DTU Physics both in relation to research and teaching.

Qualifications
Candidates must:

• hold a PhD degree (or equivalent), as well as academic qualifications equivalent to those obtained by holding an assistant professorship
• document didactic/pedagogic training

You should have research experience in graph theory and its applications to quantum information theory.

Assessment
In the assessment of the candidates, consideration will be given to:

• Experience and quality of teaching
• Research impact and experience, funding track record, and research vision
• Societal impact
• Documented innovation activities, including commercialization and collaboration with industry
• International impact and experience
• Leadership potential and collaboration
• Communication skills

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

You can read more about career paths at DTU here. 

Further information
Further information may be obtained from the head of the AlgoLoG section, Paul Fischer, tel.: +45 4525 3713, email: pafi@dtu.dk. 

You can read more about DTU Compute on www.compute.dtu.dk/english/research and the AlgoLoG section on www.compute.dtu.dk/english/research/research-sections/algolog. 

Application procedure
Please submit your online application no later than 31 August 2020 (local time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the apply link, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Teaching and research statement, with a focus on the “Assessment” bullet points listed above
• Documentation of previous teaching and research, as related to the “Assessment” bullet points listed above
• List of publications
• H-index, and ORCID (see e.g. http://orcid.org/)
• Diploma (MSc/PhD)

Applications and enclosures received after the deadline will not be considered.

All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

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