Doctoral Researcher in Signal Recovery: The University of Helsinki is offering a scholarship for a Doctoral Researcher position focused on “Signal Recovery in Noisy Spatial Data.” This project, funded by the Academy of Finland, aims to develop innovative dimension reduction methods for noisy multivariate spatial data. The successful candidate will work with Professor Klaus Nordhausen and will have opportunities for teaching as well.
Doctoral Researcher in Signal Recovery in Noisy Spatial Data
Designation
Position Title: Doctoral Researcher
Department: Department of Mathematics and Statistics, University of Helsinki
Duration: 3 years
Category | Details |
---|---|
Research Area | Signal Recovery and Blind Source Separation in Noisy Spatial Data |
Location | University of Helsinki, Finland |
Eligibility/Qualification | – Master’s degree in Statistics, Mathematics, Machine Learning, or related field – Fluent in English – Familiarity with spatial data or multivariate methods is a plus – Strong programming skills are desirable |
Job Description | – Develop novel blind source separation estimators for multivariate spatial data – Implement algorithms and evaluate them in case studies – Contribute to teaching (up to 5% of annual working hours) |
How to Apply | Interested candidates should submit the following documents as a single PDF via the University of Helsinki’s recruitment system: CV (max 2 pages)Motivation letter (max 2 pages)Names and email addresses of up to 3 references |
Last Date to Apply | December 12, 2024 (23:59 UTC + 2) |
Additional Information
The starting salary for a Ph.D. student ranges from €2,500 to €2,700 per month, depending on qualifications and experience. The University of Helsinki provides comprehensive services including occupational health care and support for internationally recruited employees transitioning to life in Finland.
For further information regarding the application process, please refer to the official website or contact Professor Klaus Nordhausen at klaus.nordhausen(at)helsinki.fi.
Take this opportunity to join one of the leading research universities and contribute to impactful work in the field of signal recovery. Apply now and make a difference!