Thesis worker at Vaisala Canada Inc

Helsinki, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

0.0

Posted On

21 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python Coding, Nowcasting Methods, Machine Learning, AI Algorithms, Weather Radar Data, Environmental Data Processing, Scientific Paper Reading, Algorithm Implementation

Industry

electrical;Appliances;and Electronics Manufacturing

Description

We are looking for a Thesis worker to join our Science team in the Weather, Energy and Environment Technology Research unit at Vaisala headquarters in Vantaa, Finland. Vaisala is a global leader in measurement instruments and intelligence helping industries, nations, people, and the planet to thrive. From predicting hurricanes to optimizing renewable energy production, our technology is used where it matters the most – from data centers, windfarms and laboratories to airports, the Arctic and even the surface of Mars. Vaisala is recognized in TIME Magazine's World's Best Companies in Sustainable Growth 2025 study. Our team of over 2,400 experts and 59 nationalities around the world is committed to taking every measure for the planet. Driven by our shared purpose, curiosity, and pioneering spirit, we stay ahead and make a difference. At Vaisala, you don't have to fit in to belong. Why join us? Be surrounded by intelligent, leading scientists in measurement solutions. In this role, you'll get hands-on sparring and mentorship from senior scientists while developing cutting-edge weather radar-based nowcasting solutions by implementing nowcasting algorithms that help predict weather phenomena and enable life-saving forecasts globally. You will collaborate with international teams across Vaisala. What's your role? You will implement selected algorithms for the weather radar-based nowcasting solution for IRIS Focus remote sensing software, specifically developing products that predict weather phenomena: Understanding nowcasting and coding methodologies in Python Reading and implementing algorithms from scientific papers and source code Validating and testing algorithms for accuracy and performance Collaborating with the team on algorithm optimization and evaluation Thesis requirements and timing This position is intended for a Master’s thesis project that is timely and well aligned with our current research needs. The fixed-term employment is for six (6) months, starting in early winter 2026. The selected candidate is expected to commit to completing the Master’s thesis within this timeframe as part of the employment. You will also need to have a faculty advisor/supervisor from your university who will formally oversee your thesis work. What will you bring? Strong Python coding skills Ability to read and understand scientific papers and implement algorithms from source code Knowledge of nowcasting methods and machine learning/AI algorithms Understanding of weather radar data Understanding of other environmental or atmospheric remote sensing data are seen as a plus Familiarity with using programming tools for processing of environmental, meteorological, or geospatial data is an advantage (e.g., with Python or MATLAB) Fluent in English For additional information please contact Minttu Tuononen, Team Leader, Science, minttu.tuononen@vaisala.com. Please note that applications sent via email cannot be processed due to privacy reasons. Ready to take every measure for the planet? Apply at the latest on December 28th, 2025 via the application form.

Responsibilities

You will implement algorithms for the weather radar-based nowcasting solution and validate their accuracy and performance. Collaboration with the team on algorithm optimization and evaluation is also a key part of the role.