Finland – PhD in Machine Learning at University of Helsinki
PhDFinderFinland6 days ago
Full-timeResearch, Analyst +1
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
University: University of Helsinki
Country: Finland
Deadline: Not specified
Fields: Computer Science, Statistics, Mathematics, Data Science, Artificial Intelligence
Are you passionate about advancing the frontiers of machine learning and statistics, and eager to contribute to groundbreaking research that shapes the future of artificial intelligence? If your career goal is to develop innovative computational algorithms and theoretical frameworks that can be applied to real-world scientific and societal challenges, this doctoral researcher position may be the perfect opportunity for you.
The University of Helsinki, one of Europe’s leading research universities, is inviting applications for a Doctoral Researcher in Machine-Learning, Statistics, and Data-Centric Engineering. This full-time position is embedded within a high-impact research project, “Advances in generalized Bayesian inference via differential-geometric methods,” and offers a unique chance to work with leading experts, collaborate with international partners, and develop skills that are highly valued in academia and industry alike.
About The University Or Research Institute
Founded in 1640, the University of Helsinki is Finland’s oldest and largest academic institution, consistently ranked among the top 1% of universities worldwide. Located in the vibrant capital city of Helsinki, the university is renowned for its commitment to high-quality research, multidisciplinary collaboration, and innovation. The Department of Computer Science, part of the Faculty of Science, is at the forefront of research in artificial intelligence, machine learning, and data science.
The University of Helsinki offers a stimulating and supportive environment for doctoral students, with access to state-of-the-art facilities, comprehensive employee benefits, and a culture that encourages curiosity and critical thinking. The city of Helsinki is celebrated for its high standard of living, safety, and strong support for research and education, making it an ideal destination for international scholars seeking both professional growth and quality of life.
Beyond the university, Finland is recognized for its world-class education system, progressive society, and thriving technology sector. As a doctoral researcher at the University of Helsinki, you will benefit from the country’s robust research infrastructure, strong governmental support for science and innovation, and a collaborative academic community that spans national and international borders.
Also See
The focus of this doctoral project is to advance the field of Bayesian statistical inference and machine learning by developing new computational algorithms and theoretical models grounded in information geometry and Riemannian geometry. Accurate statistical inference and robust AI solutions depend on the quality of model assumptions and learning algorithms, with the design of loss functions playing a pivotal role in model development.
This research aims to extend and generalize loss functions, such as the Hyvärinen score matching principle widely used in AI tasks like image generation, by incorporating advanced concepts from differential geometry. The project also leverages the theory of estimating functions to devise optimal inference algorithms for these new loss functions, utilizing their underlying geometric properties.
The significance of this work lies in its potential to drive innovation across a wide range of applications, from scientific discovery to addressing complex societal issues. By enhancing the theoretical foundations and practical tools of machine learning and statistics, the project contributes to the development of more reliable, interpretable, and efficient AI systems.
Project Details
The doctoral researcher will join the Helsinki Probabilistic Machine Learning Lab, working under the supervision of Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). The project is funded by the Research Council of Finland and benefits from strong collaborations with the Department of Computer Science at Aalto University, supported by the Finnish Center for Artificial Intelligence (FCAI).
The research environment is highly interdisciplinary and international, with connections to the European Laboratory for Learning and Intelligent Systems (ELLIS unit Helsinki and ELLIS Institute Finland). The project also offers opportunities for collaboration with leading researchers from institutions such as the University of Cambridge, Technical University of Denmark, University of Warwick, and Hamburg University of Technology.
The position is full-time for a maximum duration of 3.5 years (with possible extension to 4 years), and includes a six-month trial period. The starting salary is approximately 2650-2800 euros per month, depending on qualifications and experience. The University of Helsinki provides comprehensive benefits, including occupational health care, access to high-quality sports facilities, and ample opportunities for professional development. Teaching duties are minimal, accounting for at most 5% of annual working time.
Candidate Profile
The ideal candidate for this doctoral researcher position will have:
– A master’s degree in Statistics, Mathematics, Computer Science, or a related field, with a strong emphasis on applied mathematics, statistics, or machine learning.
– Prior experience in probabilistic machine learning, neural networks, statistical inference, or data modeling is advantageous.
– Proficiency in at least one programming language commonly used in scientific computing, such as Python, Julia, R, or Matlab.
– Excellent communication skills in English, both verbal and written.
– A strong motivation to advance the research project alongside the project leaders and to complete a PhD thesis within four years.
– The ability to work independently as well as collaboratively within a multidisciplinary and international research team.
Applicants with a background in computational mathematics, data-centric engineering, or related quantitative disciplines are especially encouraged to apply. A mindset oriented toward rigorous scientific inquiry, innovation, and problem-solving will be highly valued.
Application Process
To Apply, Please Submit Your Application Through The University Of Helsinki’s Recruitment System Via The Apply Now Button On The Official Job Posting. Your Application Should Include The Following Documents In English
– A motivation letter describing your interest in the position and your qualifications (maximum 1 page).
– A curriculum vitae, including a list of publications if available.
– One example of a written analytical text (e.g., Master’s thesis). If the text is not solo-authored, please detail your contribution.
– The names and contact information of two referees who are willing to provide reference letters upon request (optional).
For more information and to apply, please visit the official advertisement:
https://jobs.helsinki.fi/job/Helsinki-Doctoral-Researcher-In-Machine-Learning%2C-Statistics-and-Data-Centric-Engineering/1326133357/
Conclusion
If you are eager to contribute to cutting-edge research in machine learning and statistics, and to develop skills that will position you at the forefront of academic and industry innovation, this doctoral researcher opportunity at the University of Helsinki is an excellent next step. We encourage qualified and motivated candidates from diverse backgrounds to apply and to explore similar opportunities to advance their academic and professional careers.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
Found this opportunity helpful? Support us with a coffee!
Country: Finland
Deadline: Not specified
Fields: Computer Science, Statistics, Mathematics, Data Science, Artificial Intelligence
Are you passionate about advancing the frontiers of machine learning and statistics, and eager to contribute to groundbreaking research that shapes the future of artificial intelligence? If your career goal is to develop innovative computational algorithms and theoretical frameworks that can be applied to real-world scientific and societal challenges, this doctoral researcher position may be the perfect opportunity for you.
The University of Helsinki, one of Europe’s leading research universities, is inviting applications for a Doctoral Researcher in Machine-Learning, Statistics, and Data-Centric Engineering. This full-time position is embedded within a high-impact research project, “Advances in generalized Bayesian inference via differential-geometric methods,” and offers a unique chance to work with leading experts, collaborate with international partners, and develop skills that are highly valued in academia and industry alike.
About The University Or Research Institute
Founded in 1640, the University of Helsinki is Finland’s oldest and largest academic institution, consistently ranked among the top 1% of universities worldwide. Located in the vibrant capital city of Helsinki, the university is renowned for its commitment to high-quality research, multidisciplinary collaboration, and innovation. The Department of Computer Science, part of the Faculty of Science, is at the forefront of research in artificial intelligence, machine learning, and data science.
The University of Helsinki offers a stimulating and supportive environment for doctoral students, with access to state-of-the-art facilities, comprehensive employee benefits, and a culture that encourages curiosity and critical thinking. The city of Helsinki is celebrated for its high standard of living, safety, and strong support for research and education, making it an ideal destination for international scholars seeking both professional growth and quality of life.
Beyond the university, Finland is recognized for its world-class education system, progressive society, and thriving technology sector. As a doctoral researcher at the University of Helsinki, you will benefit from the country’s robust research infrastructure, strong governmental support for science and innovation, and a collaborative academic community that spans national and international borders.
Also See
- Sweden – PhD in Energy and Environmental Engineering at Mälardalen University
- Finland – PhD in Organic and Supramolecular Chemistry at University of Jyväskylä
- Sweden – PhD in Medical Science (Biomaterials & Infection Microbiology) at University of…
- USA – PhD in Environmental Engineering at Michigan State University
- USA – Postdoctoral Research in Pavement Engineering at The Pennsylvania State University
The focus of this doctoral project is to advance the field of Bayesian statistical inference and machine learning by developing new computational algorithms and theoretical models grounded in information geometry and Riemannian geometry. Accurate statistical inference and robust AI solutions depend on the quality of model assumptions and learning algorithms, with the design of loss functions playing a pivotal role in model development.
This research aims to extend and generalize loss functions, such as the Hyvärinen score matching principle widely used in AI tasks like image generation, by incorporating advanced concepts from differential geometry. The project also leverages the theory of estimating functions to devise optimal inference algorithms for these new loss functions, utilizing their underlying geometric properties.
The significance of this work lies in its potential to drive innovation across a wide range of applications, from scientific discovery to addressing complex societal issues. By enhancing the theoretical foundations and practical tools of machine learning and statistics, the project contributes to the development of more reliable, interpretable, and efficient AI systems.
Project Details
The doctoral researcher will join the Helsinki Probabilistic Machine Learning Lab, working under the supervision of Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). The project is funded by the Research Council of Finland and benefits from strong collaborations with the Department of Computer Science at Aalto University, supported by the Finnish Center for Artificial Intelligence (FCAI).
The research environment is highly interdisciplinary and international, with connections to the European Laboratory for Learning and Intelligent Systems (ELLIS unit Helsinki and ELLIS Institute Finland). The project also offers opportunities for collaboration with leading researchers from institutions such as the University of Cambridge, Technical University of Denmark, University of Warwick, and Hamburg University of Technology.
The position is full-time for a maximum duration of 3.5 years (with possible extension to 4 years), and includes a six-month trial period. The starting salary is approximately 2650-2800 euros per month, depending on qualifications and experience. The University of Helsinki provides comprehensive benefits, including occupational health care, access to high-quality sports facilities, and ample opportunities for professional development. Teaching duties are minimal, accounting for at most 5% of annual working time.
Candidate Profile
The ideal candidate for this doctoral researcher position will have:
– A master’s degree in Statistics, Mathematics, Computer Science, or a related field, with a strong emphasis on applied mathematics, statistics, or machine learning.
– Prior experience in probabilistic machine learning, neural networks, statistical inference, or data modeling is advantageous.
– Proficiency in at least one programming language commonly used in scientific computing, such as Python, Julia, R, or Matlab.
– Excellent communication skills in English, both verbal and written.
– A strong motivation to advance the research project alongside the project leaders and to complete a PhD thesis within four years.
– The ability to work independently as well as collaboratively within a multidisciplinary and international research team.
Applicants with a background in computational mathematics, data-centric engineering, or related quantitative disciplines are especially encouraged to apply. A mindset oriented toward rigorous scientific inquiry, innovation, and problem-solving will be highly valued.
Application Process
To Apply, Please Submit Your Application Through The University Of Helsinki’s Recruitment System Via The Apply Now Button On The Official Job Posting. Your Application Should Include The Following Documents In English
– A motivation letter describing your interest in the position and your qualifications (maximum 1 page).
– A curriculum vitae, including a list of publications if available.
– One example of a written analytical text (e.g., Master’s thesis). If the text is not solo-authored, please detail your contribution.
– The names and contact information of two referees who are willing to provide reference letters upon request (optional).
For more information and to apply, please visit the official advertisement:
https://jobs.helsinki.fi/job/Helsinki-Doctoral-Researcher-In-Machine-Learning%2C-Statistics-and-Data-Centric-Engineering/1326133357/
Conclusion
If you are eager to contribute to cutting-edge research in machine learning and statistics, and to develop skills that will position you at the forefront of academic and industry innovation, this doctoral researcher opportunity at the University of Helsinki is an excellent next step. We encourage qualified and motivated candidates from diverse backgrounds to apply and to explore similar opportunities to advance their academic and professional careers.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
- Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/position-alert-service/
Found this opportunity helpful? Support us with a coffee!
Key Skills
Ranked by relevanceReady to apply?
Join PhDFinder and take your career to the next level!
Application takes less than 5 minutes