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Department of Electrical and Computer Engineering - Signal Processing and Machine learning - Faculty: Technical Sciences

Research Assistant in Aerial Robotics

Deadline 16 Aug 23:59 CEST

Expected start 1 Dec

  • Department of Electrical and Computer Engineering - Signal Processing and Machine learning Finlandsgade 22 8200 Aarhus N

  • Fixed term full-time position 1 Dec 2026 - 1 Dec 2028 ID: 165521

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Applications are invited for a 24-month research assistant position in the field of Aerial Robots at the Department of Electrical and Computer Engineering, Aarhus University, Denmark.

 

Expected start date and duration of employment

This is a 24-month position starting 1 December 2026, or as soon as possible thereafter. 

 

Job description

Research in this project involves a synergistic combination of intelligent control and aerial robotics for navigation in uncertain environment.

You will be mainly responsible:

  • for implementation of machine-learning algorithms for unmanned aerial vehicles;
  • validation of the developed methods via experimental tests;
  • optimisation of the communication interface for aerial robots.

 

Your profile

Applicants should hold a master’s degree in electrical engineering, aerospace engineering, mechanical engineering, computer engineering, computer science or similar.

Required skills:

  • Experience with UAV control
  • Concrete experience in mechatronics design
  • Practical and hands-on skills

Preferred skills:

  • Good programming skills in C++ or Python
  • Working knowledge of ROS
  • Publication experience

 

Who we are

The Artificial Intelligence in Robotics (AiR) group, led by Dr Andriy Sarabakha, focuses on the intersection of control systems, computational intelligence and robotic vision with applications in guidance, control and automation of aerial vehicles.

 

What we offer

The department/centre offers:

  • a well-developed research infrastructure, laboratories and access to shared equipment
  • an exciting interdisciplinary environment with many national, international and industrial collaborators
  • a research climate encouraging lively, open and critical discussion within and across different fields of research
  • a work environment with close working relationships, networking and social activities
  • a workplace characterised by professionalism, equality and a healthy work-life balance.

 

Place of work and area of employment

The place of work is at Deep Tech Experimental Hub (Skejby Nordlandsvej 301, 8200 Aarhus, Denmark), and the area of employment is Aarhus University with related departments.

 

Contact information

For further information, please contact: Assistant Professor, Andriy Sarabakha, +45 2239 5059, [email protected].

 

Deadline

Applications must be received no later than 16 August 2026.

 

Application procedure

Short-listing 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. 

 

Formalities and salary range

Natural 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.

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

 

Questions about the position ?

Andriy Sarabakha

Andriy Sarabakha Associate Professor, Department of Electrical and Computer Engineering - Signal Processing and Machine learning +4522395059 [email protected]

Questions about application and proces ?

Nat-Tech Administrative Centre - Nat-Tech HR +4522228426 [email protected]

Apply

Deadline: Sunday 16 Aug 2026 at 23:59 CEST

37,500 students

including PhD students

9,000 employees

full-time equivalents

1,2 EUR billion

in revenue