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PhD Candidate in Multi-modal Semantic Scene Reasoning and Mapping

About the job

Search And Rescue (SAR) has long represented a core challenge and opportunity for robotics. Despite the efforts, however, robots are rarely and sparsely used in real-life SAR operations. Beyond logistical aspects or issues of social acceptance the fact is that SAR tasks are extremely demanding, time-critical and often take place in particularly harsh and unstructured environments. Building upon our experiences from the DARPA Subterranean Challenge, and within the scope of the recently started Horizon Europe “SYNERGIZE” project on Search and Rescue, this PhD position calls to redefine real-time scene mapping and reasoning by introducing multi-modal semantic understanding building on top of multi-modal mapping. In particular, with the goal to support diverse SAR missions we envision multi-modal inference and fusion methods that combine data from LiDAR, visible-light and thermal vision, as well as potential CBRN signatures in order to not only accurately reconstruct the geometry and appearance of a scene but also reason for the objects within it and their relations. Alongside algorithmic contributions, there is a major element of field deployments within the scope of this position. 

The position is part of the Autonomous Robots Lab activities in resilient robotic autonomy across diverse operational conditions and environments. The Autonomous Robots Lab has leading research in robotic autonomy and demonstrated performance in a collection of world-class projects funded by both European and US sources. For more details about our team and our publication track record, see: Indicative instances of our work can be seen in the following videos of our robotic experimentation: & .

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. 

Your immediate leader is Professor Kostas Alexis as the main scientific supervisor of the research.

Duties of the position

  • Research on semantic perception and autonomy for legged and flying robots. 
  • Research on multi-modal inference and fusion for semantic scene reasoning and mapping. 
  • Real-time realization on robotic systems and field experimentation. 

Required selection criteria

  • You must have a professionally relevant background in any or all of the domains of machine learning, evolutionary algorithms, optimization, robotics and other synergistic domains. 
  • Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.
  • You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
  • You must meet the requirements for admission to the faculty's doctoral program (see:

The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Phd candidate, research assistant and specialist candidate and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant 

Preferred selection criteria

  • Knowledge and skills in software engineering including strong background in C++ and/or Python. 
  • Experience with the Robot Operating System (ROS).
  • Experience with semantic segmentation/classification.
  • Experience with simultaneous localization and mapping. 
  • Experience with simulators for robotic systems.
  • Experience with implementation of real-life robotic systems. 
  • Good written and oral English skills.

Personal characteristics

  • Be scientifically curious and open to new research challenges. 
  • Demonstrate independence and persistence in addressing technical problems. 
  • Be flexible and reliable, with ability to work effectively independently and as part of a team. 

We offer

Salary and conditions

As a PhD candidate (code 1017) you are normally paid from gross NOK 532 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years.

Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering Cybernetics within three months of employment, and that you participate in an organized PhD programme during the employment period.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU.

After the appointment you must assume that there may be changes in the area of work.

The position is subject to external funding.

It is a prerequisite you can be present at and accessible to the institution on a daily basis.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must follow the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.

The application must include:

  • CV and certificates 
  • transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted.
  • A copy of the master's thesis. If you recently have submitted your master's thesis, you can attach a draft of the thesis. Documentation of a completed master's degree must be presented before taking up the position.
  • Name and contact information of minimum two referees
  • If you have publications, software that you have developed or other relevant research work please include it (or a summary for it)

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.

We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. 

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.

General information

Working at NTNU

NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality. 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact Professor Konstantinos Alexis, e-mail: . If you have any questions about the recruitment process, please contact HR consultant Berit Dahl, e-mail: .

If you think this looks interesting and in line with your qualifications, please submit your application electronically via with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.  

Application deadline: 07.03.2024.


NTNU - knowledge for a better world

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Engineering Cybernetics (ITK)

Engineering cybernetics is the study of automatic control and monitoring of dynamic systems. We develop the technologies of tomorrow through close cooperation with industry and academia, both in Norway and internationally. The Department contributes to the digitalization, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering.

Deadline 7th March 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Project
Place of service NTNU, 7491 Trondheim

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