PhD Candidate in Artificial Intelligence for Understanding Health Risks in Elderly

Updated: about 1 year ago
Job Type: FullTime
Deadline: 14 Mar 2023

14th March 2023

English
  • English

English
The Department of Computer Science has a vacancy for a
PhD Candidate in Artificial Intelligence for Understanding Health Risks in Elderly 
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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.

   


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About the job

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

The DigiFrailCare project targets digitalization and the use of digitised health data to improve health services for older people at risk of or with frailty. Frailty refers to age-related physical debility; a complex condition characterised by a cumulative decline across multiple physiological systems and increasing vulnerability to adverse health outcomes and death. Sustainable health services for frail older people are highly needed. Three PhDs and one postdoc will work together with an interdisciplinary supervision project team from three faculties and departments to tackle the grand challenges of frailty. This will be done on a medical, a technical, and a societal (STS) expertise level from the three respective PhDs and their faculty affiliation, with an interdisciplinary focused postdoc to integrate the findings across disciplines. The project will impact future multidisciplinary work models for frailty to improve health and function in older people, for the sake of improved and sustainable future health care services.

The PhD candidate will work on data analytics and machine learning using patient data to create risk assessment models with fall-related fractures, and nursing home admittance as endpoints. We will use existing datasets of patient-reported outcome measures (PROMs) and focus explainable methods. The PhD candidate will work in an interdisciplinary team with medical and societal researchers. We anticipate the starting date for the candidate is during spring 2023.

Your immediate leader is the group leader of Data and artificial intelligence. 


Duties of the position
  • Develop research prototypes within collaborative, interdisciplinary research projects.
  • Work in close collaboration with researchers in movement science and primary care.
  • Test and evaluate the solution in simulated and real environments.
  • Disseminate results through publications and presentations.

Required selection criteria
  • You must have a professionally relevant background in Artificial Intelligence, 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.
  • Master's students can apply, but the master's degree must be obtained and documented by April 2023.
  • You must meet the requirements for admission to the faculty's doctoral program .

The appointment is to be made in accordance with  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
  • Strong background in one or more of the following areas: artificial intelligence or machine learning.
  • Knowledge on systematically storing and organizing large datasets and source code management (GitHub, etc.).
  • Good written and oral English and Norwegian language skills. 

Personal characteristics
  • Ability to take initiative and work independently.
  • A positive and professional attitude as well as being a good team-worker.
  • Social adaptability and communication skills.
  • Willingness to learn new skillsets. Emphasis will be placed on personal and interpersonal qualities.

We offer
  • exciting and stimulating tasks in a strong international academic environment
  • an open and inclusive work environment with dedicated colleagues
  • favourable terms in the Norwegian Public Service Pension Fund
  • employee benefits

Salary and conditions

As a PhD candidate (code 1017) you are normally paid from gross NOK 501 200 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 or 4 years when taking on duty work (such as teaching, software development, or similar). 

Appointment to a PhD position requires that you are admitted to the PhD programme in Computer Science 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 funding by NTNU Helse.

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


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.
  • Research statement (max. 3 pages) including:
    • A short presentation of the motivation for a PhD study.
    • How the applicant sees his/her background suitable for the position.
    • The applicant’s view of research challenges for the selected PhD position, as well as his/her theoretical and methodological approach to the challenges. 
  • Name and contact information of three referees.
  • If you have publications or other relevant research work.

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 Kerstin Bach, telephone 73597410, email [email protected] . If you have any questions about the recruitment process, please contact HR, e-mail: [email protected]

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no 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: 14.03.23


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 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 .

 


Apply for this job
Deadline

14th March 2023


Employer

NTNU - Norwegian University of Science and Technology


Municipality

Trondheim


Scope

Fulltime (1 positions) Fulltime (%)


Duration

Temporary


Place of service

NTNU Trondheim


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