Professor in Machine Learning in Photonic Systems

Monday 18 May 20

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DTU Fotonik, Technical University of Denmark invites applications for a position as Professor in the area of application of machine learning techniques in various photonic systems.

Machine learning techniques are expected to have a major impact within photonic systems, such as communication systems and sensor applications. The purpose of this professorship is to advance the application of machine learning into new areas and to develop this new and exciting area.

The aim of the position is to strengthen the Department’s research and teaching activities in machine learning targeting photonics applications. This should be based on a strong collaboration with both academia and industry, internationally and nationally. The Department also has strong focus on experimental demonstrations of machine learning to photonics systems.

DTU Fotonik is one of the largest European departments for communication and photonics engineering and cooperates with an extensive network of both Danish and foreign research institutions, organizations, and business entities.

Responsibilities and tasks
You will be responsible for the advancement of the field of machine learning in photonic systems and collaborate closely with other faculty at the Department, and the University where appropriate. The tasks include research, teaching and innovation in the area.

You are expected to lead research within applications of machine learning techniques to new photonic applications, such as e.g. optical communication and measurement systems. You should take an active part in attracting and conducting research programmes of excellence.

You must demonstrate group leader experience and experience in leading research projects, capability for cooperation with external and international academic and industrial partners, including industrial research collaboration.

Furthermore, you will be responsible for teaching in the area of machine learning photonics systems, ranging from supervised learning, unsupervised learning, optimization, and reinforcement learning with special focus on the applications in photonics.

The successful candidate is expected to take a lead role in teaching at the BSc, MSc and PhD levels. For international candidates, DTU can provide Danish language courses enabling the candidates to teach in Danish within 2-3 years. 

Qualifications
Professors are expected to make a special effort with respect to research and research management. The applicant must be internationally recognized with documented research and/or research management with a broad research experience in machine learning and its applications. It is expected that you have qualifications in most of the following areas: 

  • Formal didactic training, and experience in development of courses and preferably educational programmes
  • Research leadership and management
  • Establish collaboration with leading research groups
  • Attraction of Excellence grants
  • Driven by pushing boundaries
Assessment
In the assessment of the candidates, consideration will be given to: 
  • Documented experience in high-quality teaching and curriculum development
  • 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 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.

Further information
Further information may be obtained from Head of Department Lars-Ulrik Aaen Andersen, tel.: +45 4525 3816.

You can read more about DTU Fotonik at www.fotonik.dtu.dk

Application procedure
Please submit your online application no later than 28 June 2020 (23:59 local time). To apply, please open the link ‘Apply online’, fill out the online application form. The following must be attached in English
in one PDF file
  • Application (cover letter) addressed to the President
  • CV
  • A vision for future research
  • 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 indicating scientific highlights
  • 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 interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Fotonik has 210 employees with competences in optics and is one of the largest centers in the world based solely on research in photonics. Research is performed within optical sensors, lasers, LEDs, photovoltaics, ultra-high-speed optical transmission systems, communication technology, coding, video and visual communication technology, bio-photonics, nano-optics and quantum photonics.

Technology for people
>DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.