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Natural Resources Institute Finland (Luke)

Senior Scientist, AI methods

Adskillige steder Tietotie 2 C Jokioinen, Finland
Latokartanonkaari 9 Helsinki, Finland
Itäinen pitkäkatu 4 A 7 krs Åbo, Finland
2025-05-13 (Europe/Helsinki)
Gem job

Om arbejdsgiveren

We offer our customers research and development services based on our outstanding biological and technological expertise.

Besøg arbejdsgiverens side

Our thriving group of data analytical researchers is looking for a new addition in data scientist, who can and sees value in applying the latest artificial intelligence methods to solve interesting research problems arising in Luke.

The person works in Natural Resources Institute Finland (Luke) as a senior data scientist (official title: Senior Scientist or Research Scientist). Tasks include participation in planning new research projects and participation in execution of research projects as a senior expert in artificial intelligence / machine learning methods. More specifically, the tasks often include processing data that is in image, video or text format. The person should also have ability to lead projects and be active in applying for research funding. The position requires the person to be involved in scientific writing and publishing as an author. Also, the person is expected to take active role in the community of machine learning experts in Luke. This means, for example, training and consulting Luke researchers in machine learning methods and software as well as participation in peer support activities.

The person can work in any Luke location, but preferably in Turku, Jokioinen or Helsinki.

Our expectations of the applicant

- PhD or MSc in relevant quantitative field (Computer science, Statistics, Mathematics, Physics or similar) or advanced Life Sciences degree with significant computational experience.
- Extensive knowledge and experience in image and/or video processing with deep/machine learning methods (for example image classification, object detection).
- Extensive knowledge and experience in natural language processing, large language models and speech recognition.
- Knowledge and experience in regression/classification/clustering/anomaly detection with methods such as SVMs, RF, GBM.
- General knowledge in handling the entire data processing pipeline from data acquisition phase, thru analysis to deployment.
- Skills in relevant data science tools and programming, for example with Python, R, SAS, Rapidminer and/or Matlab.
- Knowledge in computing systems (servers and cloud services, such as Azure, AWS, GCP).
- Achievements in private companies and/or publications as author in the areas of Deep-/Machine Learning, and/or Statistics.
- Experience and ability to perform research project work.
- Active collaboration and networking skills.
- Good written and oral skills in English language.

The following are seen as benefit:

- Experience in leading research projects and applying for project funding.
- Experience with DevOps, containerized applications, Kubernetes.
- Good networks in machine learning community, both locally and globally.
- Experience in teaching/training.
- Good written and oral skills in Finnish language.

We offer youThe well-being of our people and a positive approach towards innovation and development are particularly important to us. Our mobile work model allows you to work in Finland in the location most appropriate for your work. In addition, we provide flexible hours, and as your employment with us continues, long vacations. We offer lunch benefits, as well as sports, culture, or commuting support.

Clarifications

The person selected for the position might need to undergo standard security clearance vetting with the applicant’s consent (Security Clearance Act 726/2014). More detailed information on the procedure and the subject's rights is available at www.supo.fi.

Contact Information

Timo Hurme
Group Manager
+358 29 532 6555
[email protected]

Jonne Pohjankukka
Senior Scientist
+358 29 532 2533
[email protected]

How to apply

Primarily, we request applicants to submit their applications electronically via the Valtiolle.fi service. However, you can also apply for this job by delivering your application to the Registry Office’s postal address. Both the application and the envelope must feature the ID number of the position applied for. The letter must be delivered by the end of the application period.

Organisation

Natural Resources Institute Finland (Luke) is a research and expert organisation that builds sustainable future and well-being from renewable natural resources. Through research, we create value and solutions for our customers and society by solving local and global challenges.

Being open-minded, curious, and having a strong will to make a positive impact in the world bind Luke people together. We value our diverse working community consisting of people with different backgrounds and cultures and promote equality. Sustainability is included in all our operations.

Location
Jokioinen, Helsinki, Turku

Jobbeskrivelse

Titel
Senior Scientist, AI methods
Beliggenhed
Tietotie 2 C Jokioinen, Finland
Latokartanonkaari 9 Helsinki, Finland
Itäinen pitkäkatu 4 A 7 krs Åbo, Finland
Publiceret
2025-04-28
Ansøgningsfrist
2025-05-13 16:00 (Europe/Helsinki)
2025-05-13 15:00 (CET)
Jobtype
Gem job

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Om arbejdsgiveren

We offer our customers research and development services based on our outstanding biological and technological expertise.

Besøg arbejdsgiverens side

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