
Post-doctoral Researcher
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Salary analysis
Compared with the selected benchmark ("All roles in Lappeenranta, Finland"), this listing's salary midpoint is about 21% higher. The offer still falls within the benchmark range (€2,190–€5,500). The listed pay band (€4,300–€5,000) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 242 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Lappeenranta, Finland | €2,190/per month | €2,820/per month | €5,500/per month |
| From job ad (Mid-Level) | €4,300/per month | €4,650/per month | €5,000/per month |
Are you interested in applying computer vision and machine learning to environmental and biodiversity research? LUT University is hiring a post-doctoral researcher to develop analysis methods for environmental and wildlife data, with applications in biodiversity monitoring and sustainable resource use. What your work will be like You will focus on research and the development of computer vision and machine learning methods for ecological data analysis. The work includes image-based and multimodal data processing, with applications such as plankton image analysis, sustainable forestry, wildlife monitoring, and animal re-identification. You will contribute to ongoing projects. Your work includes publishing research results, contributing to research funding proposals, collaborating with national and international partners, and participating in research group meetings and seminars. In addition to research, you will supervise bachelor’s and master’s theses and contribute to teaching in your field. Teaching responsibilities typically include approximately one course per year and are related to mathematical foundations of machine learning. You will be part of the Computer Vision and Pattern Recognition Laboratory at the LUT School of Engineering Sciences. The lab includes approximately 15 researchers and collaborates closely with international partner universities, such as Rensselaer Polytechnic Institute (USA) and Brno University of Technology (Czech Republic). What we expect from you You have a doctoral degree in computer vision, machine learning, or a closely related field, the ability for independent scientific work, and teaching skills. We welcome applications from both experienced post-doctoral researchers and early-career candidates, including recent doctoral graduates. Experience in applying computer vision and machine learning to environmental and biodiversity research is considered an advantage. The position requires good English skills and the ability to teach in English. The position is a part of LUT University's non-tenure track system. The appointment is initially for two years, including a six-month trial period, and may be extended by up to two years based on performance and progress. What we offer You will join an internationally oriented research group where you can develop your research profile, collaborate on research projects, and contribute to impactful work at the intersection of computer vision and environmental science. The job is based in Lappeenranta. A flexible hybrid working model is applied, with regular on-site presence required. The role involves some travel between LUT campuses and to international conferences. The position follows a system of 1,612 annual working hours under the collective agreement for Finnish universities. The hours are flexible and support work–life balance. The salary is based on the Finnish university pay system’s scale for teaching and research staff (requirement levels 5–6). The starting salary is approximately EUR 4,300–5,000 per month, and the final salary is based on prior expertise and experience. The work starts as soon as possible – ideally, by the end of September 2026. The start date is negotiable.
Job Details
Responsibilities
- Research and development of computer vision and machine learning methods for ecological data analysis
- Image-based and multimodal data processing (e.g., plankton analysis, sustainable forestry, wildlife monitoring)
- Publishing research results
- Contributing to research funding proposals
- Collaborating with national and international partners
- Supervising bachelor's and master's theses
- Teaching approximately one course per year on mathematical foundations of machine learning
Requirements
- Doctoral degree in computer vision, machine learning, or a closely related field
- Ability for independent scientific work
- Teaching skills
- Good English skills
- Ability to teach in English
Skills & Technologies
Education Level
MastersBenefits & Perks
Recruitment Process
- 1Submit motivation letter (max 2 pages)
- 2Submit CV (max 5 pages)
- 3Submit doctoral degree certificate
- 4Submit list and summary of publications and teaching merits

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