University of Helsinki, Finland invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at University of Helsinki, Finland.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researchers (30 positions) in various disciplines at the University of Helsinki, Finland
Doctoral researchers will:
- Conduct full‑time doctoral research leading to the completion of a PhD degree
- Be enrolled in one of the 14 doctoral programmes of the University of Helsinki corresponding to their research field
- Work as part of an international and multidisciplinary RESDOC doctoral training project
- Receive academic supervision from leading researchers in their respective fields
Research includes temporary secondments or research visits outside the University of Helsinki in RESDOC associated partner organizations when separately agreed. The employment contract will always be concluded with the University of Helsinki.
Deadline : 31.8.2026
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher, Atmospheric Sciences
We are seeking a talented and motivated doctoral researcher (PhD student), who recently completed their MSc degree in the field of Physics, Meteorology, Computer Science, or any other similar area. MSc students near the completion of their degree are also encouraged to apply.
Deadline : 28.8.2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher Position in the HUMAIN Project
As LLMs become increasingly embedded in education, work, and everyday life, understanding their relationship to human competence is both scientifically and societally urgent. Existing benchmarks largely measure accuracy or linguistic fluency, but overlook the tacit, contextual, and ethical dimensions that define real-world expertise. HUMAIN addresses this gap by developing the online Competence Imitation Game (COMIG), a novel, experimentally validated framework that allows domain experts to interrogate and evaluate human- and LLM-generated responses through structured question-answer-evaluation conversations.
Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets of paired human–AI responses, analysed through embedding-based similarity measures, feature extraction, LLM-as-evaluator approaches, and qualitative interpretation. Domain experts are involved from the outset, helping to develop practitioner-informed metrics for imitation quality, contextual alignment, and pragmatic fit. Empirically, HUMAIN will conduct seven COMIG studies spanning everyday life, education, and work, engaging over 900 participants internationally. The project will also evaluate adaptation techniques, including prompt calibration, retrieval-augmented generation, and fine-tuning, to examine how LLMs can better align with domain-specific reasoning.
Deadline : 16.08.2026
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Student in Space Plasma Physics
This PhD project will perform a coordinated analysis of multipoint in situ measurements and numerical simulations performed with the ion-kinetic Vlasiator code to quantify how interplanetary shocks modify solar wind current sheets across a range of scales. The research will be conducted within University of Helsinki Space Physics Group (https://blogs.helsinki.fi/spacephysics/) and will involve collaboration with leading ex-perts in the field from Europe and the United States.
Deadline : 31.07.2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Mathematical Logic
The selected candidate will carry out research on the interface between logic and computation in classical and algebraic frameworks. This is an active area within logic in computer science and database theory with many possible research directions. The supervisor will help the selected candidate to choose appropriate research questions and acquire the required skills.
The position is fixed-term with the main purpose of preparing a dissertation related to the project in the Doctoral Programme in Science (SciDoc) of the University of Helsinki. The researcher will write scientific manuscripts on their results for publication in international peer-reviewed conferences and journals. The position includes funding to attend conferences and make research visits abroad. The appointment includes teaching and public engagement duties comprising 10% of the annual working time.
Deadline : 31.07.2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Set Theory and Mathematical Logic
The selected candidate will carry out research on the interactions between set theory and non-standard logics, preferably within one of the two branches of the project:
• Modal Logic of Forcing
• Inner Models from Extended Logics
These are active fields within set theory, with many possible research directions. The supervisor will help the selected candidate choose appropriate research questions and acquire the required skills. We aim to create a collaborative environment in order to promote both the research and the selected candidate’s academic development.
The position is fixed-term with the main purpose of preparing a dissertation related to the project in the Doctoral Programme in Science (SciDoc) of the University of Helsinki. The researcher will write scientific manuscripts on their results for publication in international peer-reviewed conferences and journals. The project is rooted in the Helsinki Logic Group, and we hope the researcher will be an active part of the group. The position includes funding to attend conferences and make research visits abroad. The appointment includes teaching and public engagement duties comprising 10% of the annual working time.
Deadline : 31.07.2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in the Anthropology of Humanitarianism
The New Humanitarian Infrastructures at the End of Aid project studies how humanitarian infrastructures are emerging, being remade or falling into ruination following the end of global commitment to international aid, exemplified by the withdrawal of USAID in 2025. The project aims to contribute to wider debates on the future of humanitarianism while working with refugees to expose and generate alternatives to contemporary humanitarianism.
Rather than treating humanitarian infrastructures as exclusively institutional systems, the project conceptualizes them as assemblages of physio-technological systems and social relations of diverse actors, material arrangements, and transnational connections. Empirically, the project focuses on Kenya but is open to research being conducted in alternative humanitarian contexts.
The project approaches these infrastructural transformations through four themes:
• State infrastructures: examines the expanding role of the state in humanitarian contexts, focusing on how state-led initiatives and programs are reshaping humanitarianism.
• Refugee-led infrastructures: explores how refugees generate alternatives to the top-down and neocolonial humanitarian system by organizing and creating infrastructures such as community-based organizations or mobilizing political movements that challenge current humanitarian operations.
• Transnational remittance infrastructures: analyzes how the financial and digital networks connecting diaspora communities across borders may serve as alternative forms of aid distribution.
• Corporate infrastructures: investigates the growing role of private-sector actors and digital systems in humanitarian governance. This includes the incorporation of financial platforms and emerging technologies such as generative AI, which are increasingly used in humanitarian prediction and resource distribution.
Deadline : 24.7.2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Machine-Learning, Statistics and Data-Centric Engineering
The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods.
The successful deployment of statistical models and AI solutions relies heavily on the quality of underlying model assumptions and the learning algorithms they employ. The design of loss functions is therefore crucial in the process of model development to the specific tasks at hand. For instance, the Hyvärinen score matching principle has been widely applied in AI systems, particularly for tasks such as diffusion-based image generation. This project seeks to further develop and broaden the range of loss functions by incorporating concepts from differential geometry. Additionally, we leverage the theory of estimating functions to create optimal inference algorithms for the proposed loss functions based on its underlying Riemannian geometry, as well as for those previously introduced in the literature. These advancements hold significant potential for a wide range of applications, spanning scientific research and societal challenges at large.
Deadline :15.07.2026
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About The University of Helsinki, Finland – Official Website
The University of Helsinki is a university located in Helsinki, Finland since 1829, but founded in the city of Turku (in Swedish Åbo) in 1640 as the Royal Academy of Åbo, at that time part of the Swedish Empire. It is the oldest and largest university in Finland with the widest range of disciplines available. In 2018, around 31,200 students were enrolled in the degree programs of the university spread across 11 faculties and 11 research institutes.
As of 1 August 2005, the university complies with the harmonized structure of the Europe-wide Bologna Process and offers bachelor, master, licenciate, and doctoral degrees. Admission to degree programmes is usually determined by entrance examinations, in the case of bachelor’s degrees, and by prior degree results, in the case of master and postgraduate degrees. Entrance is particularly selective (circa 15% of the yearly applicants are admitted). It has been ranked a top 100 university in the world according to the 2016 ARWU, QS and THE rankings.
The university is bilingual, with teaching by law provided both in Finnish and Swedish. Since Swedish, albeit an official language of Finland, is a minority language, Finnish is by far the dominating language at the university. Teaching in English is extensive throughout the university at master, licentiate, and doctoral levels, making it a de facto third language of instruction.
Remaining true to its traditionally strong Humboldtian ethos, the University of Helsinki places heavy emphasis on high-quality teaching and research of a top international standard. It is a member of various prominent international university networks, such as Europaeum, UNICA, the Utrecht Network, and is a founding member of the League of European Research Universities.
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