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Faculty of Engineering

Department of Structural Engineering

PhD position - Robust cardiovascular models using minimal data sets for prediction of hypertension (SO IV-147/18)

This position is one of six available PhD positons linked to the project:

 

A Digital Twin for Essential Hypertension Management and Treatment  

- My Medical Digital Twin (MyMDT) -

 

All the six successful PhD candidates linked to this project are expected to work and collaborate closely thought the duration of the project. Sharing knowledge, experience and research is the key to a successful result.

 

Two positions relating to this project are available at the Faculty of Medicine and Health Sciences, (Intervention strategies for hypertensives based on medical digital twins and Hypertension plasticity in response to physical activity), two positions are available at the Faculty of Information Technology and Electrical Engineering (Physics-informed Statistical Machine Learning for sensor-acquired big data) and the last two positions are available at the Faculty of Engineering (Robust cardiovascular models using minimal data sets for prediction of hypertension and Sensor technology for model learning and as robust in situ data source from patients). More information: https://www.ntnu.edu/digital-transformation

 

The candidate is expected to start in the autumn 2018.

 

Department and research group

One PhD-position within the field of biomechanical modeling/biomedical engineering for the cardiovascular system is available at Department of Structural Engineering at NTNU, Trondheim, Norway. The position will be organized under the cardiovascular modeling project headed by professor Leif Rune Hellevik in the Biomechanics group.

 

Project

A key element of MyMDT is a mathematical model capable of representing the individual physiological envelope of a patient, which can reproduce its current cardiovascular system status and can predict the course of hypertension for different treatment strategies. The models will be extended to incorporate necessary features of exercise physiology models, including control mechanisms and the fundamental role played by PA in hypertension treatment, aiming at an optimal compromise between computational complexity and predictive capacity. These new models will provide physical information/constraints to be integrated with ML-data driven methods.

 

Requirements of the applicant:

  • The successful candidate has a master’s degree (or equivalent) with excellent grades and relevant experience in some of the following areas: biomechanics, biomedical engineering, numerical mathematics, machine learning and programming.

  • In particular experience and competence with physiological feedback mechanisms will be valuable (e.g. baroreceptor mechanisms, volume regulation).

  • Students in their final stage of completing their degree are also invited to apply.

  • A strong academic record with a weighted average grade of master’s or equivalent education with a grade B or higher, in accordance with NTNU’s grading system.

  • Proficiency in oral and written English

 

Emphasis will also be placed on

  • Experience in any of the other PhD topics linked to this project.

  • Personal motivation and proven ability to work independently and in team, as well as potential as a researcher. 

We offer

  • Interdisciplinary collaboration in an early stage of the research career.

  • Oppurtunity to work in a dedicated research environment together with researchers, teachers and students at the national and international top level.

The Faculty of Engineering wants to attract outstanding and creative candidates who can contribute to our ongoing research activities. A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. If necessary, we will adapt the workplace for people with disabilities.

 

More information regarding moving to Trondheim, Norway, and working at NTNU: http://www.ntnu.edu/nirs

 

PhD Candidates are remunerated in code 1017, and are normally remunerated at gross NOK 436 900 before tax. There will be a 2 % deduction to the Norwegian Public Service Pension Fund from gross wage.

 

The appointment will be made in accordance with current regulations and supplementary rules with guidelines for employment as PhD Candidate appointments at universities and university colleges.

 

Admission to a doctoral degree programme is a requirement for employment as a PhD candidate.

 

For regulations concerning the PhD-degree at NTNU, please see: http://www.ntnu.no/studieavd/dok/PhD_regulations.pdf

 

How to apply

Applicants are asked to apply via the website jobbnorge.no. The application should contain the following attachments:

  • A cover letter describing why you are an excellent candidate for this position (single page, no formatting requirements).

  • CV (Relevant work experience, technical expertise, list of publications, if any).

  • Certificates and diplomas (see “Requirements” above)

  • Short statement from a former supervisor/teacher.

  • Contact information for two references.

  • If the applicant has not yet submitted his/her MSc thesis, he/she should instead include a short description of the project, its current status and main findings.

  • Any other document you consider relevant.

    

Chosen applicants will be invited to undergo an interview.

 

Candidates from universities outside Norway are kindly requested to send a Diploma Supplement or a similar document, which describes in detail the study and grade system and the rights for further studies associated with the obtained degree: http://ec.europa.eu/education/tools/diploma-supplement_en.htm

 

Candidates from non-English speaking countries outside the Nordic countries must provide official documentation of their English competence. Approved tests are TOEFL, IELTS and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). The following results are required: 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.>

 

Incomplete applications will not be taken into consideration.

 

Deadline for applications: 31.07.2018

    

For further information about the position, please contact:

Professor Leif Rune Hellevik, Department of Structural Engineering, NTNU, email: leif.r.hellevik@ntnu.no

    

For enquires regarding the application procedures, please contact:

HR Consultant Sunniva Martinsen Olsen, email: sunniva.olsen@ntnu.no, phone: +47 73594702.

 

Please note that under the Norwegian Civil Service Act, information about applicants may be made public even though the applicant has requested not to be included on the list of applicants.

Please note that applications will be assessed based on the information submitted at this page. It is the applicant's responsibility to ensure that all relevant attachments are submitted by the deadline

 

 

Søk stillingen

Om stillingen

  • Søknadsfrist
    31. juli 2018
  • Arbeidsgiver
    NTNU - Norwegian University of Science and Technology
  • Nettside
  • Kommune
    Trondheim
  • Arbeidssted
    Department of Structural Engineering
  • Jobbnorge-ID
    151550
  • Intern-ID
    2018/11764
  • Omfang
    Heltid
  • Varighet
    Vikariat/Midlertidig

Om søknader

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