Preseljenje u EU
Pronađite pravi posao za sebe među hiljadama mogućnosti dostupnih širom Evrope. Rezultate pretrage obezbjeđuje EURES - Evropski portal za radnu mobilnost.
This is NTNU
NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.
At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.
You will find more information about working at NTNU and the application process here.
Video: https://youtu.be/Xt-yHCN5QS0
About the position
The voice carries subtle acoustic indicators of our health - in some conditions, changes appear years before clinical diagnosis. Can we learn to extract them reliably?
We are looking for a PhD candidate to join the Acoustics group at the Department of Electronic Systems, NTNU, and contribute to the emerging field of vocal biomarkers: measurable features of the voice that can help detect, monitor and follow up health conditions in a non-invasive way.
You will be part of a leading acoustics environment, and of Connection, an interdisciplinary research group under NTNU's strategic research area NTNU Community, joining an international network of researchers working at the intersection of acoustics, physical modeling, voice and health. During the PhD you will build a sought-after profile spanning acoustics, signal processing and clinical application, in strong demand in both research and industry.
Your immediate leader will be the Head of the Acoustics group. The main supervisor for the position is Associate Professor Sara R. Martín.
About the project
The voice carries rich information about a person's physiological state, and subtle changes in voice production can be early signs of disease — Parkinson's disease being a well-known example. Turning such observations into reliable, non-invasive tools is the goal of the emerging field of vocal biomarkers.
In this project you will work at the interface of acoustics and signal processing, with an emphasis on methods that are interpretable and transferable across speakers, recording conditions and clinical settings. The research will be carried out in the Acoustics group at NTNU.
Duties of the position
- Complete the doctoral education until obtaining a doctorate
- Carry out research of good quality within the framework described above: record, analyse and process voice and speech signals for health applications; develop physical and numerical models of voice production; link acoustic features to the underlying physiology and physics
- Publish results in international scientific journals and conferences, and contribute to popular science dissemination
- Participate actively in the Acoustics group, and collaborate with national and international partners in voice, speech and health
- Participate in international activities such as conferences and/or research stays at foreign educational institutions
- Up to one extra year (3+1) for career promoting work in the Acoustics group
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have a relevant Master's degree in acoustics, signal processing, physics, mathematics, computer science, or another relevant technical/quantitative discipline. Master's students can apply, but the degree must be obtained and documented before starting the position.
- Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.
- You must have a solid background in mathematics or physics, and good programming skills (e.g. Python or MATLAB).
- You must meet the requirements for admission to the Faculty's PhD programme in Electronics and Telecommunication.
- You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you may be considered if you can document that you are particularly suitable for a PhD education.
- Good oral and written English skills.
PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.
Preferred selection criteria
- Experience with acoustics, speech or voice signal processing
- Experience with physical or numerical modelling and simulation (e.g. finite-element or acoustic modelling, vocal-tract or voice-production models)
- Good programming skills (e.g. MATLAB, Python)
- Interest or experience in biomedical/health applications and in working with clinical data
- Interest in interdisciplinary and international collaboration
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- Show curiosity and a strong motivation for the subject
- Work independently and in a structured way, setting goals and making plans to achieve them
- Be a creative problem-solver, able to use existing knowledge in new ways
- Communicate well and contribute constructively in a collaborative environment
- Be flexible and open to adjusting the plan for the project as needed
Emphasis will be placed on personal qualities.
We offer
- An exciting job with an important mission in society
- Developing tasks in a strong and international professional environment
- Career guidance and follow-up during the PhD period
- Open and inclusive working environment with committed colleagues
- Working capital that can be used to implement the project
- Mentor programme as a new employee at NTNU
- Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
As a PhD Candidate at NTNU, you will have access to employee benefits.
Diversity
Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals.
We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.
If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.
At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality.
Salary and conditions
In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.
The employment period is 3 years with up to 1 additional year for career promoting work in the Acoustics group at IES.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Electronics and Telecommunications within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment.
As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.
For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.
The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed.
About the application
The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.
Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.
The application must include:
- Transcripts and diplomas for Bachelor's and Master's degrees.
- CV.
- Copy of Master's thesis. If you have recently 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.
- Short letter of motivation (400 words/1 page).
- Possibly publications etc. other relevant research work.
- Possibly certificates.
- Names and contact information of minimum two relevant referees.
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. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.
Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.
When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.
NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).
General information
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt 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 exemption is not granted.
If you think this position looks interesting and in line with your qualifications, you are welcome to apply.
If you have any questions about the position, please contact Sara R. Martin (Associate Professor) sara.martin@ntnu.no .
If you have any questions about the recruitment process, please contact HR, e-mail: hr@ies.ntnu.no
Application deadline: 01.09.2026
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech 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.
Om arbeidsgiveren:
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 Electronic Systems
The digitalization of Norway is impossible without electronic systems. We are Norway’s leading academic environment in this field, and contribute with our expertise in areas ranging from nanoelectronics, phototonics, signal processing, radio technology and acoustics to satellite technology and autonomous systems. Knowledge of electronic systems is also vital for addressing important challenges in transport, energy, the environment, and health. The Department of Electronic Systems is one of seven departments in the Faculty of Information Technology and Electrical Engineering .
This is NTNU
NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.
At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.
You will find more information about working at NTNU and the application process here.
Video: https://youtu.be/Xt-yHCN5QS0
About the position
We invite applications for a PhD Candidate position focused on the development of hybrid artificial intelligence and optimization methods for dynamic and stochastic transport operations. The position is based at the Department of Industrial Economics and Technology Management, located at NTNU’s campus in Trondheim.
This is an educational position, which will provide promising research recruits the opportunity for professional development through studies towards a PhD-degree. The position is connected to the PhD program at the Faculty of Economics and Management, and the faculty will be your employer.
Transport and logistics systems are becoming increasingly complex, data-rich, and dynamic. Public transport operators, freight carriers, and logistics providers must make decisions under uncertainty while responding to disruptions, fluctuating demand, and changing operating conditions.
This PhD project focuses on developing AI-supported decision methods for routing and scheduling in transport and logistics systems. The research investigates how operations research and artificial intelligence can be combined to improve planning and operational decision making under uncertainty.
The project addresses challenges that arise when traditional optimization models are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be integrated with optimization algorithms to support faster, more robust, and more adaptive decision making.
The project addresses research questions like:
- How can learning-based models be integrated with optimization methods to improve the robustness and performance of transport planning decisions?
- How can hybrid AI–optimization methods scale to large real-world transport and logistics systems while handling the many constraints encountered in practice?
- How can routes and schedules be evaluated efficiently across many possible future scenarios to support both tactical planning and real-time adaptation?
To address these questions, the PhD candidate will develop and evaluate new decision-support methods that combine optimization and machine learning. Particular attention will be given to methods that can rapidly assess the consequences of routing and scheduling decisions under uncertainty, enabling both robust planning and adaptive operational decision making.
The research will be developed and validated using real-world transport and logistics applications. The primary application domain is public transport planning in collaboration with AtB, the public transport authority in the Trondheim region. Additional case studies may be conducted together with other logistics partners, including Posten Bring (Norway's national postal and logistics operator), Bama (Norway's largest fruit and vegetables distributor), and Oda (Norway's leading online grocery retailer).
The position offers a unique opportunity to work at the intersection of artificial intelligence, optimization, and transport systems while contributing both fundamental methodological advances and practical decision-support tools.
Research environment
The PhD position is part of the Norwegian Centre on AI for Decisions (aiD), https://aid-centre.no/, a national research initiative led by NTNU and SINTEF. The centre brings together around 60 partners[MS1] from academia, research institutes, industry, and the public sector.
Through aiD, the PhD project will be connected to a larger research environment working on hybrid AI–optimization methods for planning and operations under uncertainty, as well as applications in logistics, healthcare, energy systems, and infrastructure planning.
The PhD candidate will be hosted at the Managerial Economics, Finance and Operations Research (BEDØK) group at the Department of Industrial Economics and Technology Management. The group is one of Norway's leading academic environments in operations research, logistics, optimization, and quantitative decision support. In addition, the PhD candidate will work in close collaboration with researchers from SINTEF Digital’s Optimization group, a leading research environment in applied optimization and artificial intelligence.
The department endeavors to promote research that meets high international standards. Consequently, collaboration with international institutions is considered important. The department therefore encourages the successful PhD candidate to spend one or two semesters of the contract period at a foreign educational institution. The department offers support in planning such research visits.
The mission of Department of Industrial Economics and Technology Management (IØT) is to carry out education, research, and innovation activities at an international level at the intersection between technology/natural sciences and business economics, management, and HSE. The department’s activities aim to contribute to sustainable value creation within technology-based areas in industry, business, and the public sector in Norway.
Your role in the project
The PhD candidate will:
- Conduct original scientific research related to the project topic
- Develop new algorithms and methods combining AI and optimization
- Publish research results in leading international journals and conferences
- Collaborate with academic and industry partners
- Participate in aiD centre activities and research meetings
- Complete the required coursework as part of the PhD programme
- Contribute to dissemination and communication of research results
Required selection criteria
Applicants must hold a master’s degree in a relevant field with strong academic results (B or better according to NTNU’s grading scale). Relevant academic backgrounds include:
- Operations research
- Computer science
- Artificial intelligence or machine learning
- Applied mathematics
- Engineering disciplines with strong quantitative and algorithmic content
Applicants must document competence in optimization, operations research or machine learning.
PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.
Preferred selection criteria
The following qualifications will be considered an advantage:
- Good knowledge of mathematical optimization (e.g., mixed-integer linear programming, stochastic programming, meta-heuristics)
- Knowledge of machine learning and/or AI methods
- Experience with algorithm development
- Proficiency in at least one programming language, e.g, Python, Julia, C++, or similar
- Interest in applications in transport, logistics, or operations planning
Applicants in the final phase of their master’s studies are encouraged to apply
Personal characteristics
We are looking for a candidate who:
- Is intellectually curious and motivated to conduct high-quality research
- Works independently and in a structured manner
- Has strong communication and collaboration skills
- Thrives in interdisciplinary research environments
- Is interested in developing research with practical relevance and societal impact
Emphasis will be placed on scientific quality, research potential, and personal suitability.
We offer
- An exciting and international academic environment with opportunities for competence development
- Opportunities to collaborate with leading researchers in optimization and AI
- Close interaction with industry partners and public sector stakeholders
- Participation in a national centre of excellence on AI for decision making
- Opportunities for research stays at international universities
- An open and inclusive workplace with engaged colleagues
- Favorable terms in the Norwegian Public Service Pension Fund
- Employee benefits
- Good loan, insurance, and pension schemes in the Norwegian Public Service Pension Fund
- Norwegian language training at a basic level (A2)
- Working at NTNU
Information about working and living in Norway can be found at the following link: https://www.workinnorway.no/en/Home
Diversity
Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals.
We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.
If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.
Salary and conditions
PhD candidates are remunerated in code 1017, currently NOK 550.800,- per year before tax. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The period of employment is 3 years without required teaching duties.
Appointment requires admission to the PhD programme at the Faculty of Economics and Management at NTNU.
Trondheim is the workplace. For necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.
The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.
Any statutory leave will be added to the employment period.
As an employee at NTNU, it is important to stay updated on professional and organizational changes and adapt to these.
About the application
Please note that the application will only be assessed based on the information we have at the application deadline. Therefore, ensure that your application clearly demonstrates how your skills and experiences meet the criteria described above.
The application must contain the following:
- Motivation letter – The motivation letter must clearly state how the candidate meets the qualification requirements.
- Research plan (maximum one page) – Applicants should provide a brief research plan describing how they would approach one or more of the research questions outlined in the description of the position. The plan should reflect the applicant’s research interests and provide an outline of how they envision contributing to the project objectives.
- CV, diplomas, and certificates
- Scientific works, including the master thesis.
- Names and contact information of three potential references
NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).
Incomplete applications will not be considered.
General information
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt 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 exemption is not granted.
If you think this position looks interesting and in line with your qualifications, you are welcome to apply.
Questions about the position can be directed to Associate Professor Steffen Jaap Skotvoll Bakker (steffen.bakker@ntnu.no), Professor Magnus Stålhane (magnus.staalhane@ntnu.no), and Research Manager Torkel Haufmann (torkel.haufmann@sintef.no).
If you have any questions regarding the employment process, please contact HR Advisor Hilde Selli Egelie at hilde.s.egelie@ntnu.no.
Application deadline: 16.08.2026
-----------------
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech 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.
Om arbeidsgiveren:
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 Industrial Economics and Technology Management
We conduct research and teaching at an international level in the interface between technology/natural sciences and economics, management, and HSE (health, safety and the environment). Our goal is sustainable creation of value within technology-based areas in industry, business and the public sector in Norway. We have academic groups in Trondheim and Gjøvik. The Department of Industrial Economics and Technology Management is one of four departments in the Faculty of Economics and Management.
This is NTNU
NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.
At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.
You will find more information about working at NTNU and the application process here.
Video: https://youtu.be/Xt-yHCN5QS0
About the position
Robotic autonomy still lacks a universal architectural blueprint capable of operating across the wide diversity of robot configurations found in aerial, ground, and aquatic domains. Today’s autonomy stacks remain highly specialized to each morphology, in sharp contrast to the conserved neural organization of the mammalian brain, which provides a common computational blueprint across species despite profound differences in body plan and ecological niche. Motivated by this analogy – and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy architecture that generalizes across embodiments. The overarching ambition is to advance the foundations of a universal science of embodied AI, where perception, action, and learning are co-designed to support intelligent behavior in robots of fundamentally different forms.
The PhD candidate will be supervised by Kostas Alexis, head of the Autonomous Robots Lab (ARL), and the position is part of the recently-funded Norwegian Centre for Embodied AI.
About the project
Join a nation-wide team: The Norwegian Centre for Embodied AI (NCEI), one of Norway’s six national AI centers, is recruiting outstanding researchers to advance a universal science of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable path for physical AI and transform how robot morphology and autonomy are co-designed, enabling new generations of systems tailored to their operational environments and missions. Successful candidates will join an international community with world-class facilities and strong collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier.
Duties of the position
- Fundamental contributions in embodied AI – unified autonomy architectures, foundation models and robot world models.
- Focus on implementable methods for onboard robotic autonomy.
- Experimental deployments and field evaluation of the conducted research.
- Complete your doctoral education leading to the PhD degree.
- Conduct and publish research of high-quality within the framework described above.
- Participate in international activities such as conferences and/or research stays abroad.
- Collaborate with other researchers within the department, and across departments at NTNU.
- Supervise master’s thesis students related to the project.
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or machine learning.
- 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: https://www.ntnu.edu/ie/research/phd).
- You must meet the requirements for admission to the IE Faculty.
PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position.
Preferred selection criteria
- Solid theoretical background in robot perception and navigation.
- Deep foundation in modern machine learning.
- Solid programming skills in C++ and Python. Experience with ROS is a plus.
- Experience with simulators for robotic systems.
- Experience with implementation of real-life robotic systems.
- Strong skills in mathematics, excellent capacity for mathematical formalism, and ability to grasp new concepts quickly.
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- 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.
Emphasis will be placed on personal qualities.
We offer
- An exciting job with an important mission in society
- Developing tasks in a strong and international professional environment
- Career guidance and follow-up during the PhD period
- Open and inclusive working environment with committed colleagues
- Working capital that can be used to implement the project
- Mentor programme as a new employee at NTNU
- Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
As a PhD Candidate at NTNU, you will have access to employee benefits.
Diversity
Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals.
We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.
If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.
At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality.
Salary and conditions
In the position of PhD Candidate, code 1017, your gross salary will normally be from NOK 550 800,- per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.
The employment period is 3 years.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering Cybernetics within three months of your employment contract start date, and that you participate in an organized doctoral program throughout the period of employment.
The position is conditional on external funding.
As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.
For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.
The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.
About the application
The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.
Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.
The application must include:
- Transcripts and diplomas for Bachelor's and Master's degrees. Documentation of a completed Master's degree must be presented before taking up the position.
- CV
- Short letter of motivation (400 words/1 page)
- Names and contact information of minimum 2 relevant referees
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. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.
Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.
When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.
NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).
General information
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt 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 exemption is not granted.
If you think this position looks interesting and in line with your qualifications, you are welcome to apply.
If you have any questions about the position, please contact Professor Konstantinos Alexis, email: konstantinos.alexis@ntnu.no . If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: berit.dahl@ntnu.no .
Application deadline: 25.08.2026.
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech 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.
Om arbeidsgiveren:
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.
This is NTNU
NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.
At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.
You will find more information about working at NTNU and the application process here.
Video: https://youtu.be/Xt-yHCN5QS0
About the position
Aerial robotics have scored significant successes yet – interestingly – they have long employed body morphologies that merely represent miniaturizations of manned aviation concepts or have resorted to biomimicry. However, novel missions and environments require that we look into new designs and concepts both for the robot’s morphology as well as its control and autonomy.
To that end, soft bodies offer the possibility to create flying robots with unique capabilities. By exploiting advanced materials, we can achieve anisotropic compliance – offering softness only in the desired directions of interaction – while maintaining light weight and high control authority. Importantly, body softness can be exploited by appropriately designed control in order to achieve enhanced safety and the ability to navigate particularly cluttered and high-risk environments. In turn, deriving such control laws represents its own challenge calling for the utilization of advanced techniques including but not limited to deep reinforcement learning and model predictive control.
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: https://www.autonomousrobotslab.com/publications.html. Recent examples of our work can be seen in the following videos of our robotic experimentation: https://youtu.be/l8Su8OXsM-E & https://youtu.be/nS2WgZldIv4 & https://youtu.be/OO2P4N0drGc & https://youtu.be/C6l7Vklbc9k & https://youtu.be/o56wAkelRzU
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.
About the project
The activity will be part of the funded Horizon Europe project “RESSORT: Resilient Efficient Soft and Sustainable Optimized Robotics Technology” in which NTNU is partner (Coordinator: VUA, Brussels). Research collaboration with the consortium partners is also expected.
Duties of the position
- Complete the doctoral education until obtaining a doctorate
- Carry out research of good quality within the framework described above
- Fundamental contributions in soft aerial robot design
- Fundamental contributions in control for flying robots
- Contributions in robot learning, model predictive control or other key method
- Focus on robust sim2real transfer, robot realization and testing
Be prepared for changes to your work duties after employment.
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: https://www.ntnu.edu/ie/research/phd)
PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.
Preferred selection criteria
- Knowledge and skills in software engineering including strong background in C++ and/or Python.
- Experience with robot modeling and design in CAD
- Experience with reinforcement learning or model predictive control.
- Experience with the Robot Operating System (ROS).
- Experience with simulators for robotic systems.
- Experience with implementation of real-life robotic systems.
- Good written and oral English skills.
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- 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
- Exciting and stimulating tasks in a strong international academic environment
- An open and inclusive work environment with dedicated colleagues
- Career guidance and follow-up during the PhD period
- Working capital that can be used to implement the project
- Mentor programme as a new employee at NTNU
- Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
As a PhD Candidate at NTNU, you will have access to employee benefits.
Diversity
Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals.
We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.
If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.
At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality.
Salary and conditions
In the position of PhD Candidate, code 1017, your gross salary will normally be from NOK 550 800,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.
The employment period is 3 years.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering Cybernetics within three months of your employment contract start date, and that you participate in an organized doctoral program through out the period of employment.
The position is conditional on external funding.
As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.
For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.
The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.
About the application
The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.
Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.
The application must include:(decide on what must be included - remove what does not fit):
- 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 mimimum 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. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.
Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.
When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.
NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).
General information
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt 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 exemption is not granted.
If you think this position looks interesting and in line with your qualifications, you are welcome to apply.
If you have any questions about the position, please contact Professor Konstantinos Alexis, email konstantinos.alexis@ntnu.no
If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: berit.dahl@ntnu.no
Application deadline: 25.08.2026.
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech 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.
Om arbeidsgiveren:
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.