26/03/2020

Doctoral student in data mining for health


  • ORGANISATION/COMPANY
    Halmstad University
  • RESEARCH FIELD
    Computer scienceAutonomic computing
    Computer scienceComputer systems
    Computer scienceDigital systems
    Computer scienceOther
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    19/04/2020 22:00 - Europe/Athens
  • LOCATION
    Sweden › Halmstad
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    01/05/2020
  • REFERENCE NUMBER
    2020/17

The selected PhD student will carry out research on developing machine learning models, for prognostic purposes, based on individual trajectories of diseases, healthcare contacts, medications and sociodemographic conditions. The projects will focus on cardiometabolic disdeases (including myocardial infarction, acute heart failure and cardiac death), hospitalization burden (including surgical need and days of hospitalization) and mortality. The follow up periods range from more than 20 years (Malmö Diet and Cancer Cohort), up to 10 years (Region Halland database) down to 1-2 years in some of the emergency department databases (Lund). The machine learning work will also include developing methods that can explain the decision made by the models (XAI). The selected PhD student will be responsible for conducting research with in the AIR Lund project and for participating in the required Ph.D. course activities. The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time.

This is a full-time position available from May 1st 2020 (or as soon as possible afterwards) for a period of four years (extended one year at a time, subject to satisfactory progress of the Ph.D. study). Enough resources to fund experiments and conference travels are available.

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Computer science: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Good

Skills/Qualifications

The ideal candidate has a Master’s degree in computer science, machine learning, mathematics, physics, or a related engineering discipline. A strong background in machine learning is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in deep learning is a plus.

Students expecting to finalize their degree during the spring 2020 are also welcome to apply. Only persons who are being admitted, or already have been admitted, to doctoral studies at an institution of higher education may be appointed doctoral students. (The Higher Education Ordinance Chapter 5, § 3). The student’s ability to benefit from doctoral studies will be taken into account when we make the appointment. (The Higher Education Ordinance Chapter 5, § 5).

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
Halmstad University
Sweden
Halmstad

EURAXESS offer ID: 508418

Disclaimer:

The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.

 

Please contact support@euraxess.org if you wish to download all jobs in XML.