NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY -NTNU

PhD Position in Deep Learning for your Smart Cardiovascular Twin

Location
Trondheim, Norway
Posted
19 Apr 2018
End of advertisement period
10 Jun 2018
Ref
IE-071-2018
Contract Type
Temporary
Hours
Full Time

Norwegian University of Science and Technology (NTNU) has a vacancy for a 100% position as a PhD research fellowship position affiliated with the Department of Mathematical Sciences (IMF) at Faculty of Information Technology and Electrical Engineering (IE) 

This position is one of 6 positions within the project A Digital Twin for Essential Hypertension Management and Treatment - My Medical Digital Twin (MyMDT), see https://www.jobbnorge.no/ledige-stillinger/stilling/151040, and  https://www.ntnu.edu/digital-transformation.

The project is in NTNU’s strategic portfolio of projects to pursue transformative research on the development and application of digital transformation technology. Multi-disciplinarity is a key objective in all the projects, and close cooperation between the PhD research fellows and the disciplines is essential for A Digital Twin for Essential Hypertension Management and Treatment - My Medical Digital Twin (MyMDT).

Information about the Department

The Department of Mathematical Sciences has 35 full professors, 20 associate professors and 4 assistant professors. In addition, there are 2 adjunct professors, 5 adjunct associate professors, about 20 postdoctoral fellows and about 60 doctoral students. There are 11 women in tenured positions. The department has five research groups: algebra, analysis, differential equations and numerical analysis, geometry and topology, and statistics.

About the PhD-position in Deep Learning for you Smart Cardiovascular Twin

The key focus for this PhD position will be deep learning (DL) for essential hypertension (high blood pressure) and how modern data science can be integrated with more traditional physics-based models for the best of both worlds. DL-based methods have shown remarkable results in many fields (including medicine) the last couple of years and the PhD candidate will investigate how your personal cardiovascular twin can be generated in such a way that it looks out for you by analyzing your biosensor data. In addition to investigating how physics-informed deep learning can be used in limited data regimes the candidate will also look into explainable AI, this is important for medical applications where the reasoning behind the predictions made by a deep neural network should be understandable to humans. The overall goal is to build a patient specific predictive twin (“MyMDT”) that would allow optimal prevention, monitoring, diagnosis, prognosis, medication, treatment strategies, primary health care workload, cost for society and patient engagement.

The main supervisor for this PhD position will be Professor Frank Lindseth

Qualifications:

Master`s degree in a relevant topic, e.g. machine learning or data science.

Candidates completing their MSc-degree in the Spring 2018 are encouraged to apply. The position is also open for integrated PhD for NTNU students starting their final year of their master degree in Autumn 2018, see https://www.ntnu.no/ie/forskning/integrertphd for information about integrated PhD.

In particular, admission to PhD education at NTNU requires an average grade of at least B, within a scale of A-E for passing grades (A best), for the last two years of the master’s degree.

The appointment is for a term of 3 years without teaching assistance, or up to 4 years including 25% of teaching assistance.

See here for regulations concerning appointment and promotion to teaching and research posts: https://www.regjeringen.no/no/dokumenter/regulations-concerning-appointment-and-promotion-to-teaching-and-research-posts/id2519258/.

Language requirements

The main working languages are Norwegian and English. As the informants are mostly Norwegian, skills in a Scandinavian Language is desired, but not required. Applicants who do not master a Scandinavian language must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:

  • TOEFL: 600 (paper-based test), 92 (Internet-based test)
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
  • CAE/CPE: grade B or A.

Formal regulations

Appointments are made in accordance with the regulations in force regarding terms of employment for PhD candidates issued by the Ministry of Education and Research, with relevant parts of the additional guidelines for appointment as a PhD candidate at NTNU. Applicants must undertake to participate in an organized PhD programme of study during their period of employment.

The person who is appointed must comply with the conditions that apply at any time to employees in the public sector. In addition, a contract will be signed regarding the period of employment.

Applicants must be qualified for admission as PhD students at NTNU. See http://www.ime.ntnu.no/forskning/phd for information about PhD studies at NTNU. Together with the application, include a description of the research work that is planned for completion during the period of the grant.

Salary conditions

The position is in code 1017 Research fellow, and is remunerated at a gross NOK 436.900 – 537.700 per year, depending on qualifications. A deduction of 2% is made as a statutory contribution to the Norwegian Public Service Pension Fund.

General

We can offer

  • an informal and friendly workplace with dedicated colleagues
  • academic challenges
  • attractive schemes for housing loan, insurance and pension in the Norwegian Public Service Pension Fund

The Faculty of Information Technology and Electrical Engineering wants to attract outstanding and creative candidates who can contribute to our ongoing research activities. We believe that diversity is important to achieve a good, inclusive working environment. We encourage all qualified candidates to apply, regardless of the gender, disability or cultural background. We encourage especially women to apply.

The appointment is subject to the conditions in effect at any time for employees in the public sector, and assessments regarding the legislations regulating export control and knowledge transfer.

Under Section 25 of the Freedom of Information Act, information about the applicant may be made public even if the applicant has requested not to have his or her name entered on the list of applicants.

For further information about the position, please contact:

Professor Frank Lindseth, Department of Computer Sciences, NTNU, email: frank.lindseth@ntnu.no

The application

The application must be sent electronically through this page (www.jobbnorge.no) with information about education and relevant experience (preferably, all in one combined PDF file). Mark the application with the IE code given below.

The application must contain: 

  • Curriculum vitae (CV) with information about the candidate’s prior training, exams, and work experience
  • Certified copies of transcripts and diplomas
  • Applicants from universities outside Norway are kindly requested to send a diploma supplement or a similar describes in detail the study and grading system and the rights for further studies associated with the obtained degree
  • Research statement (max. 3 pages) including:
    • A short presentation of the motivation for a PhD study
    • How the applicant sees his/her background suitable,
    • The applicant’s view of research challenges within the area of the PhD position
  • Names and contact information of at least 2 reference persons
  • A copy of the master thesis (in PDF), or, for those who are near to completion of their MSc, an extended abstract combined with a statement of how and when the applicant plans to complete the thesis (1 page, delivery of master thesis no later than June 30th.)

Incomplete applications will not be considered.

Signing of the employment contract should happen within October 1, 2018

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

Application deadline is June 10, 2018

Mark the application: IE-071-2018

About this job

  • Deadline Sunday, June 10, 2018
  • Employer NTNU - Norwegian University of Science and Technology
  • Website
  • Municipality Trondheim
  • Place of service Trondheim
  • Jobbnorge ID 151521
  • Internal ID 2018/10932
  • Scope Fulltime
  • Duration Temporary

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Standard CV
  • Please refer to where you first saw this job advertised!

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