Professor/Associate professor (Førsteamanuensis) with Artificial Intelligence (AI) and Health

NTNU is a broad-based university with a technical-scientific profile and a focus on professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 42,000 students work to create knowledge for a better world.

The Department of Computer Science (IDI) , group for Data and Artificial Intelligence (DART) , has a vacancy for the position of Professor/Associate professor in Artificial Intelligence (AI), with focus on health application.

The main field of research will be within Artificial Intelligence and Machine Learning, with a particular focus on health applications, i.e., Artificial Intelligence and Health. The professor is expected to play an important role in research and research-based education within this field, in cooperation with existing staff at both the IE and medical faculty. The position will be connected to the Norwegian Open AI Lab (NAIL). More specifically, the relevant topics for the position include (but are not limited to):

• AI methods for precision and personalized medicine
• Synthetic data generation and data analysis for health applications
• Explainable AI in healthcare addressing among others data quality, development, robustness and performance
• Trustworthy AI in healthcare addressing among others data access, bias, privacy, purpose and implementation

The research in Artificial Intelligence and Machine Learning at the Department of Computer Science is driven by an interest in contributing to the state-of-the-art at the level of individual methods and algorithms, coupled with an interest in studying and developing fruitful combinations of methods related to the health domain.

The research activities are expected to have a strong international profile and impact. Our strongest contributions to the international research front so far have been within Bayesian learning and probabilistic reasoning, evolutionary learning and neural networks, and instance-based learning and case-based reasoning. In addition, we have ongoing activities within large-scale data and information management at an international level. Over the last years there has been an increased interest in applying AI and machine learning methods on the health domain, and NAIL has already had a lot of activities around this topic.  For the new position, it will be important to find candidates that complement (and build on) the competence already present at IDI and the IE Faculty.

Applicants must have a formal background in computer science, with research focus on AI and/or machine learning.

You will report to head of department.

The professor will be a regular member of the department’s scientific staff, with privileges and duties following from that, including teaching and student supervision. The responsibilities include the following:

• The associate professor is expected to be able to disseminate relevant parts of the research to a wider audience.
• Establish collaboration with relevant colleagues at other departments at NTNU, especially those belonging to the medical faculty.
• Participate in administrative activities, such as hiring committees, educational and research boards, etc., that are conducted at IDI.
• Contribute to an excellent learning environment in collaboration with colleagues, students, and external stakeholders. The associate professor is expected to teach courses at all levels and should supervise master's and Doctoral students

Professor:

You must have the qualifications required for the position of professor in the field of artificial intelligence, as outlined in § 1-2 of the regulations concerning appointment and promotion to teaching and research posts . 

• Your scientific experience must be primarily in the field of AI and/or machine learning (or a comparable relevant field) 
• Research experience within cross-disciplinary areas of AI/machine learning and health  
• Peer-reviewed publications from the top venues within relevant areas.  

In addition to the requirements for basic educational competence, you must also document: 

• The development of the quality of your own teaching and supervision of students over time 
• Broad experience as a supervisor, preferably at a master’s/PhD level 
• Participation in improving the quality of education in a professional environment 

Associate professor:

You must have the qualifications required for the position of associate professor in the field of artificial intelligence, as outlined in the regulations concerning appointment and promotion to teaching and research posts 

• Your PhD, or comparable academic work, must be within the field of AI and/or machine learning 
• Research experience within cross-disciplinary areas of AI and health  
• Peer-reviewed publications from the top venues within relevant areas.  

Applicable to all:

You must document relevant basic competence in teaching and supervision at a university/higher education-level, as referenced in the Norwegian national Regulations . If this cannot be documented, you will be required to complete an approved course in university pedagogy within two years of commencement. NTNU offers qualifying courses. 

New employees who do not speak a Scandinavian language by appointment is required, within three years, to demonstrate skills in Norwegian or another Scandinavian language equivalent to level three of the course for Norwegian for speakers of other languages at the Department of Language and Literature at NTNU .  

• Candidates having obtained funding from recent EU framework programs or with documented international research collaboration. A good, documented understanding of the relevant research fields and domains.
• Experience and/or formal training/education in healthcare, medicine or life sciences.
• Documented experience and ability with methods, software tools and open-source technology relevant to the domain.
• Ability and willingness to conduct research in a multidisciplinary setting and team.

• Norwegian or another Scandinavian language

• Strategic
• Result-oriented
• Collaborative
• Good relationship with students
• Strong motivation to contribute to good working and social environment

In the assessment of the best qualified applicant, we will emphasize education, experience and personal suitability as well as your motivation for the position.

A position as Professor (code 1013)  and Associate professor (code 1011) will gross salary in accordance with agreement. As required by law, 2% of this salary will be deducted and paid into the Norwegian Public Service Pension Fund.

Employment will be granted in accordance with the principles outlined in 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. Applicants should be aware that there may be changes in the working environment after employment has commenced.

It is a prerequisite that you are able to be present and accessible at the institution daily.

You can find more information about working at NTNU and the application process here .

Your application and supporting documentation must be in English. 

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.

If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.

Your application must include:

• CV, diplomas, and certificates
• A teaching portfolio, in which your teaching competence is compiled and presented systematically,   (See guidelines for applicants: Documentation of teaching qualifications in applications and appointments to academic positions at NTNU ) 
• Academic works - published or unpublished - that you would like to be considered in the assessment (up to 10 works)
• A description of the academic/artistic works that you regard as most relevant and that you particularly want to be considered in the assessment
• A list of your previous works, with details on where they have been published 
• A research plan
• Details of projects for which you have served as project manager, including information on financing, duration, and scope 
• Names and contact information for three referees

Joint work will also be considered. If it is difficult to identify your specific input to a joint project, you must include evidence of your contributions.

While considering the best-qualified applicants, we will pay particular attention to personal qualities, your motivation for applying for the position, and your pedagogical skills and qualifications. Our assessment will be based on documented pedagogical material, forms of presentation in your academic works, teaching experience, PhD, and Masters supervision, and any other relevant pedagogical background. Both quality and scope will be taken into consideration. 

NTNU is obliged by the evaluation criteria for research quality in accordance with The San Francisco Declaration on Research Assessment – DORA.  This means that we will pay particular attention to the quality and academic range demonstrated by your scientific work to date. We will also pay attention to research leadership and participation in research projects. Your scientific work from the last five years will be given the most weight. 

Your application will be considered by a committee of experts. Candidates of interest will be invited to an interview, and to deliver a trial teaching session. 

NTNUs personell policy emphasizes the importance of equality and diversity. We encourage applications from all qualified candidates, regardless of gender, disability, or cultural background. 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 continually maintain and improve your professional development and be flexible regarding any organizational changes.

In accordance with public law your name, age, job title, and county of residence may be made available to the public even if you have requested not to appear on the public list of applicants. For the sake of transparency, candidates will be given the expert evaluation of their own and other candidates. As an applicant you are considered part of the process and is stipulated to rules of confidentiality.

If you have any questions regarding the position, please contact Head of department, Professor Heri Ramampiaro, tel. +47 73591459, e-mail: [email protected] . If you have questions regarding the recruitment process, please contact Oddrun Husby, e-mail: [email protected] .

The application and all attachments should be submitted electronically via jobbnorge.no . If you are invited for an interview, you must bring with you certified copies of all certificates and diplomas.

Application deadline: 01.08.2022

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 Computer Science 

We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science  is one of seven departments in the Faculty of Information Technology and Electrical Engineering  .