Postdoctoral Researcher position in Data Science: Multi-task learning in bioinformatics

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The Faculty of Science at the University of Oulu is announcing an open Postdoctoral Researcher position, which will be located at the Research Unit of Mathematical Sciences ( which has an internationally strong position at the forefront of research in its focus areas. The Research Unit is a partner in one Finnish Centre of Excellence in Inverse Modelling and Imaging ( The appointee will also work in close collaboration with the Natural Resource Institute of Finland (LUKE).

This position is aimed at strengthening the participating research units as well as the HiDyn program funded by the Academy of Finland PROFI5. Data Insight for High-Dimensional Dynamics (HiDyn) is a program devoted to multidisciplinary data science and artificial intelligence. It will offer mathematical and methodological expertise to understand high-dimensional dynamic systems.

The Postdoctoral Researcher position is for 2 years and is aimed to start in May 2021 or as soon as possible thereafter.

Description of the position

The research project “Multi-task learning for high-dimensional genomic prediction” aims to combine expertise in quantitative genetic methodology with statistics and machine learning. Multi-task learning is a versatile and very flexible framework for prediction of large multivariate input and output data. The research will concentrate on developing and applying new methodologies of data science and artificial intelligence to tackle research problems related to genomic analysis and prediction.

The new Postdoctoral Researcher is expected to write and publish scientific articles in international peer-reviewed journals documenting the achievements of the work. Some participation in teaching is required.

The work will be supervised by the collaborative research group (Esa Mäntysaari, Ismo Stranden, Mikko Sillanpää and Patrik Waldmann).


A Ph.D. (or equivalent) in Computational or Applied Mathematics, Statistics, Data Science, or a related field is required. Some post-doctoral experience is of advantage, but the applicant should have attained a Ph.D. no more than 10 years before the end of the application period.

The candidate is expected to have a computational orientation and excellent knowledge of data science. This includes machine learning, mathematical optimization, data mining and Bayesian statistics. Experience from work with large genomic data sets is considered as an advantage, but is not neccessary.

Special emphasis will be given to research expertise within the subject field, demonstrated by an international publication record. Work abroad and other international experience will be regarded as an asset.


The salary of a Postdoc will be based on levels 5 – 6, of the requirement level chart for teaching and research personnel in the salary system of Finnish universities. In addition to the basic salary, the appointee will be paid a salary component based on personal work performance with a maximum of 50% of the basic salary. The full salary is approximately 3,400 – 4,300 euros per month.

How to apply

Applications must be accompanied by the following English-language documents:

1) Brief curriculum vitae (Max. size limit of the attachment: 5 Mbytes and 4 pages)

2) List of publications where it is clearly indicated which publications are peer reviewed

3) Brief motivation letter summarizing applicant’s professional experience and expertise and describing why applicant is interested in about this position. Also, information on personal research interests and career plans are valuable to provide here (max 2 pages).

4) Full name and e-mail addresses for at least two persons who are willing to give reference letters (if separately asked).

Applications, together with all relevant enclosures, should be submitted using the electronic application form by 25 of February 2021.


Associate Professor Patrik Waldmann, Patrik.Waldmann(at)


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