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Assistant Professor in Signal Processing and ML for Precision/Digital Agriculture
Aarhus, Denmark
a competitive salary package

Department of Electrical and Computer Engineering (ECE), Aarhus University (AU) invites applications for a position as Assistant Professor (non-tenure track) in the area of Signal Processing and Machine Learning for Precision/Digital Agriculture. The job is available from 15 August 2022 or as soon as possible after that. The position is part of an ambitious strategic investment in a 10-year recruitment plan to increase activities significantly within research and education in the Engineering Sciences. As of 1 January 2021, ECE became a department within the Faculty of Technical Sciences to further reinforce its growth strategy.

Researching and applying Signal Processing and Machine Learning in agricultural crop production can increase the yield and quality of the harvested crop, minimize energy input and the use of pesticides, reduce soil compaction and negative environmental impacts. As Assistant Professor, you will be part of a research environment focusing on Signal Processing and Machine Learning for Precision/Digital agriculture. You will contribute to research in Precision Agriculture with a focus on the implementation of autonomous robots and UAV in crop production. Your tasks will be to conduct independent research of the highest international quality. You will be responsible for teaching and guidance of Bachelor’s and Master’s degree students, so we expect commitment to excellence in teaching. You will also be contributing towards attracting external research funding.

Your profile
You must demonstrate solid research at a high international level, within Signal Processing and Machine Learning for Precision/Digital Agriculture, particularly research in Computer Vision for Precision Agriculture. You are expected to work closely with researchers/groups at the Department of Agroecology to join forces within this research area. You will get the opportunity to collaborate in national and international research environments and in your daily work, you will work closely with both Danish and international colleagues in a multidisciplinary team. We expect 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.

You must have a Ph.D. in Electrical and Computer Engineering related to Machine Learning and Precision Agriculture or closely related field. You are a clear communicator and you have some degree of experience of supervision and teaching at Bachelor’s and Master’s degree level. Completed pedagogical courses in supervision or similar will be a plus, as will experience with the establishment of PhD courses and external research collaborations (e.g. joint papers and applications). You also have completed one or more productive stays at a university abroad.

Further, we will prefer candidates with some of the following qualifications:

  • Experience in planning and conduction field data acquisition (i.e., plant samples, sensor data)
  • Experience in integrating and working with imaging sensors on field robots and/or unmanned aerial vehicles.
  • Experience in computer vision in agriculture
  • Experience in developing data-driven linear and non-linear models

Place of Employment and Place of Work
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. Since you need to work closely with researchers/groups at the Department of Agroecology you also occasionally have place of work at Aarhus University Campus Foulum and Research center Flakkebjerg.

Further information
For more information, please contact Head of Section of Signal Processing and Machine Learning, Henrik Karstoft,

Application procedure

Deadline: 27 April 2022

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 Finance 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 Finance 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.

Aarhus University

Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,000 employees, and has an annual revenues of EUR 885 million. Learn more at

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