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reference: 57011904000243

documentId: 57011904000243

connectionPointId: 261

Stillingstittel:
PhD Fellowship in Clinical Decision Support for Child and Adolescent Mental Health

Stillingsbeskrivelse:

Jobbnorge ID: 168610

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About the position

The Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) has a vacancy for one Computer Science PhD fellowship at the Department of Computer Science (IDI). The position will do research within longitudinal health record interpretation and analysis, clinical guideline recommender systems and individualized decision assistance for diagnosis and management of mental and behavioural disorders. The appointment is for 4 years with 25% teaching duties or 3 years without.

The research is part of the Individualized Digital Decision Assist System (IDDEAS) project which is managed by the Regional Centre for Child and Adolescent Mental Health and Child Welfare (RKBU, www.ntnu.edu/rkbu), also at NTNU. RKBU is doing research, education and service development, and has more than 30 senior research staff, 15 adjunct positions and 16 PhD students, and is co-located with the St. Olav university hospital child and adolescent mental health clinics at the Øya hospital campus.

The position reports to head of department

Job abstractJV_description

The IDDEAS innovation project is funded by the Norwegian Research Council, and aims to provide data-driven and guideline-driven decision aid and recommendations in Child and Adolescent Mental Health (CAMH). Norwegian CAMH services have a long history of multidisciplinary, unified collaboration, including dedicated health record tools and consistent documentation and work practice over many years. The project will analyse health record data in order to capture and classify typical and important pathways and care patterns. The PhD project will do research on representation of patient trajectories; longitudinal analysis of textual and structured CAMH records; decision support systems for CAMH clinicians; retrieval and ranking of clinical recommendations. IDDEAS wants to enable healthcare providers to give personalized medical care in the prevention, diagnosis and treatment of mental health.

Project partners are the Central Norway Regional Health Authority represented by their relevant clinics and IT provider HEMIT HF, the Vivit AS company specializing in clinical decision support, the Arctic University of Norway, the Norwegian Association for Child and Adolescent Mental Health and the Norwegian Patient Registry. The project will collaborate closely with the Miracum.de-project in Germany, the Children's Hospital in Boston and the University of California in San Francisco.

Qualification requirements

The PhD-position's main objective is researcher training, but also to fulfil the IDDEAS research project objectives. The minimal requirement for the position is a completed master's degree or second degree (equivalent to 120 ECTS credits) with a strong academic background in computer science or equivalent education with a grade of B or better in NTNU's grading scale.

Applicants with no letter grades from previous studies must have an equally good academic foundation, which will be assessed by NTNU. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree. The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.

The candidate should have experience and formal competence in subjects semantic modelling, constraint reasoning, machine learning, decision support, recommender systems, logic programming, natural language text processing, visualization, MMI, planning and data mining. There should be able to employ and develop methods and software for health data mining, medical language understanding and clinical decision support. Formal training and experience in healthcare or biomedicine is preferable, but not required. All candidates will work with Norwegian clinical data, and good command of a Scandinavian language is required.

Other qualifications

We look for candidates with demonstrable qualifications in:

• Programming, software engineering and user interface design.
• Proficient use of open source tools and environments for both research and development
• Multidisciplinary collaboration and conscientious independence
• Ability to quickly acquire new practical and theoretical knowledge.
• Fluent written and spoken academic English. Applicants from non-English speaking countries outside Europe must present an official language test report. The acceptable are TOEFL, IELTS, and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).

Minimum scores are:

TOEFL: 600/writing 4.5 (paper-based test), 92/writing 22 (internet-based test

IELTS: 6.5, with no section lower than 5.5 (only Academic)

IELTS: test accepted/CAE/CPE: grade B or A.

Candidates will be ranked according to qualifications described above, with emphasis on formal education, experience and personal suitability to the project.

Personal characteristics

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, as well as motivation, in terms of the qualification requirements specified in the advertisement

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

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 449 400 before tax per year. 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 duties. Appointment to a PhD position requires admission to the PhD programme in [subject area] (Link to website, if applicable).

As a PhD candidate, you undertake to participate in an organized PhD programme during the employment period. A condition of appointment is that you are in fact qualified for admission to the PhD programme within three months.

General information

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. Under the Freedom of Information Act (offentleglova), information about the applicant may be made public even if the applicant has requested not to have their name entered on the list of applicants.

Questions about the position can be directed to Øystein Nytrø phone number +47 918 97 606, nytroe (at) ntnu.no, or the Head of the Department Professor John Krogstie, email: john.krogstie (at) ntnu.no

About the application:
Publications and other academic works that the applicant would like to be considered in the evaluation must accompany the application. Joint works will be considered. If it is difficult to identify the individual applicant's contribution to joint works, the applicant must include a brief abstractJV_description of his or her contribution.

Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applicants invited for interview must include certified copies of transcripts and reference letters. Please refer to the application number 2019/10512 when applying.

Application deadline: 30.04.2019

Se annonsen og søk på stillingen www.jobbnorge.no

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numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310

abstractJV_contact_0: See jobabstractJV_description

contractTypeCodes_0: fulltime

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