Postdoctoral Researcher, Health Data Science in Life-course Epidemiology

Organisation/Company

University of Oulu

Research Field

Computer science » Other

Researcher Profile

Recognised Researcher (R2)

Country

Finland

Application Deadline

27 Feb 2025 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

The University of Oulu is a multidisciplinary, international research university, with about 3,600 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University of Oulu community has about 17,000 people in total. Our northern scientific community operates globally and creates conditions for the emergence of innovations.  

We are now looking for a

Postdoctoral Researcher, Health Data Science in Life-course Epidemiology

to join us in Research unit of Population Health at the Faculty of Medicine, in the research group of Life-course Epidemiology led by Sylvain Sebert.

About the job

We are looking for a talented and creative Data Scientist with a very solid foundation in mathematical sciences and statistics to develop longitudinal methods for causal inference in life-course epidemiology.

• As a postdoctoral researcher you will apply and develop machine learning and Bayesian methods adapted to longitudinal design
• In the Research Council of Finland Project 'Body weight trajectories; Molecular entropy and aging with multi-morbidities; life-course models and pathways' your responsibilities will include
  • developing genome-wide prediction of human growth models
  • Assisting the existing team in developing new methods to model human aging process (DNA methylation aging, entropy, multimorbidity)
• You will also be part of the multidisciplinary research group in Life-course Epidemiology with max 10% teaching duties to Master level students or 10% support in developing high quality FAIR data management.

What do we offer?

• The support of an experienced and enthusiastic team of 23 people where you can share your expertise and grow as an expert.
• Development and career options of the big organization.
• Wellness benefit ePassi covering sport, culture and well-being. Read more about other staff benefits here.
• Our Buddy Programme  and Spouse Network  support you and close ones in settling into Oulu.
• The support of an experienced and enthusiastic team where you can share your expertise and grow as an expert. 
• Development and career options of the big organization.
• We have an HR Excellence in Research  -quality label which is a recognition awarded by the European Commission for the development of researchers’ working conditions and careers. 
• Work that matters and a workplace that promotes flexibility and work-life balance. Read more about working with us.
• Finland is one of the most livable countries in the world, with a high quality of life, safety, an excellent education system, and competitive economy. Read more about living in Oulu .

Who are you?

This position requires robust experience in machine learning and Bayesian models using multidimensional human data. You must be fluent in coding in more than one computing system.

You are passionate about making meaningful research and like working with others. You have experience in working in different environments and settings.

In order to succeed and enjoy the position, we expect from you:

• Doctoral degree in mathematics, data sciences, or computational sciences
• Previous experience with genomics and multi-modal analysis
• Programming and coding fluency
• Fluent in written and spoken English

We also appreciate

• Experience with multiple study design and experimental methods
• Experience in Bayesian methods
• Interest in causal inference

Salary

The position is fixed-term for 21 months as of 01.03.2025 or as soon as possible thereafter.

The salary will be based on the level OV5 of the demand level chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 50% of the job-specific component). The starting gross salary will be approx. 3800-4500 € per month (before taxes). A trial period of 6 months is applied for the position.

How to apply?

Interested? If yes, please apply by 27.02.2025 (23:59 Finnish local time) through our recruitment system.

The application should be written in English and include the following:

The eligible applicants fitting best in the profile expected for the position will be invited to an on-site or remote interview. All applicants will be notified during the selection process.

We welcome applicants from different backgrounds, such as people of different ages, different genders and members of different languages, cultural or minority groups.

Contact Information

If you have any further questions, please contact Sylvain Sebert, Faculty of Medicine and research unit of Population Health, sylvain.sebert@oulu.fi and Justiina Ronkainen, justiina.ronkainen@oulu.fi  

Type of employment: Temporary position (shorter than 10 days)
Contract type: Full time
First day of employment: 01.03.2025
Number of positions: 1
Full-time equivalent: 100 %
City: Oulu
County: Pohjois-Pohjanmaa
Country: Finland
Reference number: 2025/132
Contact:

Published: 2025-02-14
Last application date: 2025-02-27

Website

https://academicpositions.com/ad/university-of-oulu/2025/postdoctoral-researche…

Research Field

Computer science

Years of Research Experience

4 - 10

Website for additional job details

https://academicpositions.com

Number of offers available

1

Company/Institute

University of Oulu

Country

Finland

City

Oulu

Postal Code

90570

Street

Pentti Kaiteran katu 1

Geofield

City

Oulu

Website

http://www.oulu.fi/english/

Postal Code

90570

• X (formerly Twitter)
• Facebook
• LinkedIn
• Whatsapp
• 
  More share options
  • E-mail
  • Pocket
  • Viadeo
  • Gmail
  • Weibo
  • Blogger
  • Qzone
  • YahooMail