Uusimmat työtiedot yritykseltä 6G Flagship tehtävään Doctoral researcher, AI/ML Methods for Hydrological Observations in GNSS-Reflectometry Network. If the Doctoral researcher, AI/ML Methods for Hydrological Observations in GNSS-Reflectometry Network avooin työpaikka kohteessa Oulu vastaa pätevyyttäsi, lähetä uusin hakemuksesi tai CV:si suoraan päivitetyn Jobkos-työpaikkaportaalin kautta.
Login and apply Faculty of Information Technology and Electrical Engineering, CWC - Radio Technologies The University of Oulu is a multidisciplinary, international research university, with about 4000 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 Doctoral Researcher to join the Centre for Wireless Communications Unit (CWC) at the Faculty of Information Technology and Electrical Engineering. CWC trains world-class graduates, conducts world-renowned research, and creates new technology in cooperation with the most significant R&D organizations and industries in the field of wireless communications. This doctoral researcher Tehtävä is part of the strategic spearhead projects funded by Infotech for the years Infotech is one of the four multidisciplinary research centers at the University of Oulu. This doctoral research project is titled GNSS-HydroNet: A GNSS-reflectometry-based sensor network for investigating hydrological processes in Northern Suomi. The work will contribute to the Digital Waters Flagship, bringing research and innovations to support decision-making and management in the water sector – digitally ). About The Job Our objective is to enhance the observation of key winter hydrological parameters, including snow depth, snow water equivalent, and ice thickness, on rivers, lakes, and seas. The outcome of this research is expected to improve the estimation of target hydrological parameters by assimilation of GNSS-R data, in situ measurements by using the AI/ML-based result analyses and methods. In This Role, You Will Focus on AI/ML methods to improve hydrological observations using the GNSS-Reflectometry Network. Build data processing workflows and implementation of AI/ML methods to identify significant trends and dependencies of the estimated parameters on observation data and various environmental factors. The doctoral researcher will join a multidisciplinary research team led by Research Director Marko E. Leinonen, Center of Wireless Communications (CWC), and will be supervised in collaboration with Associate Professor Pertti Ala-Aho from the Water, Energy, and Environment Engineering research unit, as well as Postdoctoral Researcher Ankit Regmi from CWC. What We Offer The support of an experienced and enthusiastic community 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. Work that matters and a workplace that promotes flexibility and work-life balance. Read more about working with us. Our Buddy Programme and Spouse Network support you and your close ones in settling into Oulu. 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. Suomi is one of the most livable countries in the world, with a high quality of life, safety, an excellent education system, and a competitive economy. Read more about living in Oulu. Who are you? We are seeking a talented and motivated candidate to implement Artificial Intelligence/Machine Learning (AI/ML) algorithms for modeling and improving the observation of hydrological parameters through the assimilation of data from the existing GNSS-R sensor network, field surveys, and other supporting sensors. We Require From You Master's degree in communications engineering, computer science, environmental engineering, mathematics, geophysics, or related discipline. A Master's degree must have been completed before the start of the doctoral researcher's work. See also the requirements of the University of Oulu Graduate School (UniOGS) You Are Also Expected To Demonstrate The Following Experience in AI/ML methods and algorithms. Good understanding of signal processing and data analysis. Proven experience with data analysis tools such as Matlab/Python/R. Experience with GNSS receivers, observables, GNSS-reflectometry or remote sensing topics. Readiness in assisting in field campaigns measuring snow and ice properties Sound knowledge on radio wave propagation, Radio Frequency (RF) topics. Good English language skills both in oral and written communication. Ability to work both independently and with different research groups and teams. Salary The Tehtävä is full-time and fixed-term for 3 years as of or as soon as possible thereafter. The salary will be based on the levels 2-4 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 (a maximum of 50 % of the job-specific component). The starting gross salary will be approx € per month (before taxes). A 6-month trial period is applied to the Tehtävä. How to apply? Interested? If yes, please apply by 16 January :59 Finnish local time) through our recruitment system. The application should be written in English and include the following: Cover letter CV following the guidelines of the Finnish Advisory Board on Research Integrity Certificates and transcripts of records: Scanned electronic copies of all pages of a) diplomas and b) transcripts of the records of relevant previous degrees. If the original documents are not in Finnish, Swedish or English, each document must be accompanied by an official certified translation into Finnish or English. Contact information of two persons available for recommendation The eligible applicants fitting best in the profile expected for the Tehtävä will be invited to an on-site or remote interview. All applicants will be notified during the selection process. We welcome applicants from all backgrounds, such as people of different ages, genders, and linguistic, cultural, or minority groups. Contact Information If you have any further questions, please contact Research Director, Marko E. Leinonen, email: Associate Professor, Pertti Ala-aho, email: Postdoctoral Researcher, Ankit Regmi, email: Type of employment Temporary Tehtävä over 6 months Employment expires Contract type Full time Ensimmäinen day of employment Number of Tehtäväs 1 Full-time equivalent 100% City Oulu County Pohjois-Pohjanmaa Maa Suomi Reference number 2025/823 Published 18.Dec.2025 Viimeinen application date 16.Jan.2026 Login and apply Share links Return to job vacancies Show more Show less
Tiedot työpaikasta:
Yritys: 6G Flagship
Tehtävä: Doctoral researcher, AI/ML Methods for Hydrological Observations in GNSS-Reflectometry Network
Työskentelypaikka: Oulu
Maa: FI
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