PhD fellowship in artificial intelligence and functional data analysis

Updated: 3 months ago
Deadline: 17 Feb 2021

We are offering a PhD fellowship with a special focus on artificial intelligence and functional data analysis commencing on June 1st 2021 or as soon as possible hereafter. The PhD student is expected to apply and develop statistical methods using artificial intelligence and machine learning combined with functional data analysis to associate ECG (electrocardiogram) data to clinical outcomes from Danish registry data with a focus on prediction models.

Project description
The project will focus on a PhD project in biostatistics and data science. The PhD project aims at developing AI software that can provide clinically relevant predictions of different health outcomes based on data from ECG measurements. The data material consists of around 106 ECG signals measured on Danish citizens that must be associated to different clinical outcomes from Danish registry data. The ultimate goal is to develop an AI algorithm that for a given ECG measurement can deliver predicted risk probabilities for different health outcomes. The PhD candidate will be involved in the methodological development aimed at combining functional data analysis with modern methods of artificial intelligence and machine learning as well as the applied data analysis of the millions of ECG signals available.

Principal supervisor isAssociate Professor Andreas Kryger Jensen, Section of Biostatistics, e-mail: aeje@sund.ku.dk , tel. 35 32 67 35, Principal co-supervisor is Professor Thomas Alexander Gerds, Section of Biostatistics, e-mail: tag@sund.ku.dk , tel. 35 32 79 14.

Start:                 June 1st 2021
Duration:          3 years as a PhD student

Job description
Your key tasks as a PhD student at SUND are:

  • Carry through an independent research project under supervisio 
  • Complete PhD courses or other equivalent education corresponding to approx. 30 ECTS points
  • Participate in active research environments including a stay at another research team
  • Obtain experience with teaching or other types of dissemination related to your PhD project
  • Teach and disseminate your knowledge
  • Write a PhD thesis on the grounds of your project.

Key criteria for the assessment of applicants
The successful applicant for the PhD scholarship will be a statistician with a strong background in mathematics and statistics i.e., a candidate degree in for example mathematics, statistics, or engineering sciences. Accordingly, we require documented skills within theoretical and applied statistics as well as high-level programming. Also, the applicant should have the ability to communicate research findings in teaching, conference talks and by writing scientific papers for international journals.

It is a prerequisite for the PhD fellowship that the candidate can be and is not already enrolled as a PhD student at the faculty of Health and Medical Sciences, University of Copenhagen.

Place of employment
The place of employment is at the Section of Biostatistics, Department of Public Health, CSS, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment.

Terms of employment
The employment as PhD fellow is full time (37 hrs/week) and for 3 years.
It is conditioned upon the applicant’s success­ful enrolment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant prior to employment.

The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. Salary, pension and terms of employment are in accordance with the agree­ment between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 27.593 DKK /approx. 3.679 EUR (April 2020-level) plus an employer paid pension contribution of 17.1%.

Questions
For specific information about the PhD fellowship, please contact Associate Professor Andreas Kryger Jensen, e-mail: aeje@sund.ku.dk , tel. 35 33 35 28 or Professor Thomas Alexander Gerds, e-mail:  tag@sund.ku.dk , tel. 35 32 79 14.

General information about PhD study at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/

Application procedure
Your online application must be submitted in English by clicking ‘Apply now’ below. Furthermore your application must include the following documents/attachments – all in PDF format:  

  • Motivated letter of application (max 2 pages). Please briefly describe your previous research experiences and interests and what attracts you to the position in terms of both the topic and the academic work.
  • Curriculum vitae detailing education, work, research and teaching experiences, conference presentations, publication record, language skills and other skills relevant for the position 
  • Documentation of knowledge on advanced computational methods, e.g. a list of methods you have worked with and in which context.
  • Official transcripts of examination results.
  • A certified/signed copy of degree certificate(s).
  • Contact information for two reference persons.

Application deadline: 17 February 2021 23.59pm CET.

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor.
The assessor makes a non-prioritized assessment of the academic qualifications and experience with respect to the above-mentioned area of research, techniques, skills and other requirements listed in the advertisement.
Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

The Faculty of Health and Medical Sciences comprises approximately 7500 students, 1500 PhD students and 3200 employees. The Faculty advances the field of health sciences through its core activities: research, teaching, knowledge sharing and communication. With basic research fields ranging from molecular studies to studies of society, the Faculty contributes to a healthy future through its graduates, research findings and inventions benefitting patients and the community. The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position. 


Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.


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