Tenure Track Assistant / Associate Professor in Signal Processing and Machine Learning at the Department of Electrical and Computer Engineering, Aarhus University

Aarhus University, Denmark - an international top-100 university - has made an ambitious strategic investment in a recruitment plan to radically expand the Department of Electrical and Computer Engineering. Therefore, the department invites applications from candidates that are driven by excellence in research and teaching as well as external collaboration on societal challenges.

We invite applications for a position as Assistant or Associate Professor (tenure track) in the area of Signal Processing and Machine Learning at the Department of Electrical and Computer Engineering, Aarhus University. The job is available from June 1st, 2023, or as soon as possible after that.

The Department of Electrical and Computer Engineering is organized into sections. The position is anchored in the ‘Signal Processing and Machine Learning’ section. This section currently has 7 research groups. The section groups perform research in a broad span of subdisciplines within Machine Learning, Artificial Intelligence, Computer Vision, and Signal Processing. The disciplines are used in diverse application domains (datasets) e.g., Robotics, Geophysics, FinTech, BioScience/Agriculture, Medical, and others. The section is also participating in the AU DIGIT center. We encourage interdisciplinary and research-based innovation, and our externally founded projects have extensive collaboration with companies outside AU. The section members teach electrical and computer engineering students at BSc. and MSc. level within Machine Learning, Computer Vision, Signal Processing, Control, Applied Mathematics, and more.

Job description
Your tasks will be to conduct independent research of the highest international quality within Signal Processing, Machine Learning, or related fields, and you will be responsible for teaching and guidance of Bachelor's and Master's degree students at the department. We will encourage you to build your own research group at the department, including Post Docs and PhDs. We suppose you will be able to attract external funding to make this. You will get the opportunity to collaborate in national and international research environments. In your daily work, you will work closely with Danish and international colleagues in a multidisciplinary environment. We anticipate you to be an active part of the research and teaching environment, possess the ability to collaborate and build relationships and contribute positively to the social working environment. We don't expect you to speak/write Danish when you arrive, but we expect you to learn.

Your profile
You must have a Ph.D. in Electrical and Computer Engineering (or similar area) related to Signal Processing, Machine Learning, or Computer Vision, and you must be able to demonstrate solid research at a high international level. You could research interests in one or more of the following:

  • Sensing and Perception for robotic systems,
  • Robotics Vision,
  • Computer Vision,
  • Machine/Deep Learning in Remote sensing,
  • Machine/Deep Learning on graphs,
  • Representation Learning

You have a clear research direction for the near future, and your research will possibly supplement the current research activities in the section or link to these.

Preferentially you have some experience in scientific leadership and are able to attract external research funding.

You are a clear communicator and have some experience of supervision and teaching at Bachelor's and Master's degree levels, so we expect commitment to excellence in teaching. Completed pedagogical teaching and supervision courses will be a plus. Aarhus University offers these courses.

You have completed one or more productive stays at a university outside Denmark.

About the Department of Electrical and Computer Engineering, Aarhus University
The Department of Electrical and Computer Engineering is one of four engineering departments at the Faculty of Technical Sciences at Aarhus University.

Our vision is to be a world-leading department for research, education and innovation in electrical and computer engineering, creating a positive and visible impact on society and the environment through interdisciplinary collaboration, excellence and diversity.

Many of our research and development activities are based on the specific innovation needs or specialist application areas of specific companies. We collaborate closely with the public sector and private companies to ensure that the knowledge and technology generated in the department’s research environments has a clear anchoring in reality and benefits society as a whole.

Ensuring gender balance at the Department of Electrical and Computer Engineering is a high priority at Aarhus University, and therefore, we particularly encourage women to apply for this position. No candidate will be given preferential treatment, and all applicants will be assessed on the basis of their qualifications for the position in question.

For more information about the Department of Electrical and Computer Engineering, please visit https://ece.au.dk/

See more about our activities on LinkedIn: https://www.linkedin.com/company/au-ece/

Read more about the Signal Processing & Machine Learning Section.
 

Research areas at the department
Electrical and computer engineering are closely related technical science disciplines focusing on research into hardware and software technologies. We focus on research and development activities in the fields of communication and networks, control and automation, photonics, signal processing, software and IT systems, robot technology, medical technology, health technology, electrical energy technology, and acoustics and sound technology.
The department wish to build a research and study environment with equality and diversity as a core value for recruitment as well as for daily study and work life.

Visit our Job and Career webpage to discover more about ECE.

The benefits of working in Denmark
Denmark as a country offers the opportunity to pursue a career without compromising your family life and in general work-life balance in Denmark are among the best in Europe. In addition, Denmark is a safe place to live with a very low crime rate and is in general secure and equal. The Danish society builds on a welfare system which means your taxes goes into welfare services such as free healthcare and education. Taxes in Denmark are high but international academic staff members can, under certain conditions, benefit from a special tax scheme to further improve working conditions. On top of this collective agreements guarantee you a safe workplace, fair wages, pay during sickness, paid paternity/-maternity leave, flexible workhours and much more.

If you want to know more about the Danish way of life please visit: Life in Denmark.
You can also contact our International Staff Office.

Place of work and area of employment
The place of employment is Aarhus University, and the place of work is the Department of Electrical and Computer Engineering, Finlandsgade 22, 8200 Aarhus N, Denmark and the area of employment is Aarhus University with related departments.

Contact information
For more information, please contact Head of Section of Signal Processing and Machine Learning, Henrik Karstoft, hka@ece.au.dk.

Deadline
Applications must be received no later than 8 December 2022.

Technical Sciences Tenure Track
Aarhus University offers talented scientists from around the world attractive career perspectives via the Technical Sciences Tenure Track Programme. Highly qualified candidates are appointed as Assistant Professors for a period of six years with the prospect of performance- based advancement to a tenured Associate Professorship.

The aim of the Technical Sciences Tenure Track Programme is to:

  • attract outstanding talented individuals that are competitive at an international level
  • to promote the early development of independent research success early in the career of scientists
  • to create transparency in the academic career path

As part of the tenure track position, the candidate is offered:

  • access to research infrastructure
  • capability development, including postgraduate teacher training
  • a mentoring programme
  • support to develop scientific networks and to secure interdisciplinary research at the highest level

As part of the Aarhus University Tenure Track Programme, the University carries out a mid-way evaluation to review the progress of the tenure track candidate after three years, according to the same criteria used in the final tenure review. The final tenure review is conducted after five and a half years. If the review is positive, the candidate will be offered a tenured position as Associate Professor at Aarhus University.

Please refer to the tenure track guidelines for the tenure review criteria and for the tenure review process.

Application procedure
Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the assessment committee if necessary, – the head of department selects the candidates to be evaluated. The selection is made on the basis of an assessment of who of the candidates are most relevant considering the requirements of the advertisement. All applicants will be notified within 6 weeks whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee and will receive his/her assessment. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants.

Letter of reference
If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in question before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline.
Unfortunately, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration.

Formalities and salary range
Technical Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation.

The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.

Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Taxation and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.

Salary depends on seniority as agreed between the Danish Ministry of Taxation and the Confederation of Professional Associations.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.

Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.

Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more here. Please find more information about entering and working in Denmark here.

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.

Please write in your application that you've seen the job at Jobfinder