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 Researcher or Postdoctoral Researcher, SUSCON project
The appointee will be responsible for the production of research material in Belgium (media and online ethnography, conducting interviews and observation). The successful candidate will thus be required to spend periods of time in Belgium, especially during Fall 2026.
Working closely with the Principal Investigator, the appointee will play a key role in project implementation, and will be expected to publish articles, independently and jointly, based on the empirical material produced, as well as participating in project communications, organizing project events and other tasks relating to the project. Duties will also include teaching (up to 5% of annual working time).
We are looking primarily for a doctoral researcher to implement a doctoral thesis and complete their postgraduate studies on the project. However, postdoctoral researchers may also apply for this position, with a shorter fixed period of approximately 27 months.
Deadline : Open until filled
(02) 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 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. We are part of the Helsinki Probabilistic Machine Learning Lab.
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.
The primary research site is the Department of Computer Science at the University of Helsinki (UH), but strong synergy also exists between researchers at the Department of Computer Science at Aalto University, supported by the flagship grant from the Research Council of Finland (RCF) for AI research, called the Finnish Center for Artificial Intelligence (FCAI). This project is further related to the European Laboratory for Learning and Intelligent Systems (ELLIS unit Helsinki and ELLIS Institute Finland). Both institutes aim to foster cutting-edge research and establish a globally recognized concentration of expertise in ML and Statistics. You will also have the chance to collaborate with researchers from University of Cambridge, Technical University of Denmark, University of Warwick, Hamburg University of Technology, and others. Please check our personal website (through hyperlinks in our names) for details and news.
Deadline : Open until filled
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researchers in structural biology/parasitology, group Muhleip
The research in the group is focused on understanding how protein complexes organise mitochondrial membranes in protozoan parasites and how membrane organization is disrupted in human mitochondrial disorders. The successful applicant will work on the structural and functional characterisation of mitochondrial energy conversion complexes and remodelling in protozoan parasites using protein biochemistry, single-particle cryo-EM and in-situ cryo-electron tomography. Specifically, the project is aimed at visualisation of inner-membrane architecture and characterising parasite-specific modulation of membrane biogenesis. The project offers the unique opportunity to combine parasitology and mitochondrial biology with state-of-the-art structural biology techniques. The group benefits from in-house availability of a 200-kV Talos Arctica microscope, complemented by access to 300-kV cryo-electron microscopes for data collection at international facilities.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher
This project examines an understudied field of nail salons in Europe, an employment sector that is primarily run by migrant women. The global nail salon industry has grown rapidly in recent years, fuelled by increasing consumer demand for self-care and the expansion of the service sector. This market is mainly composed of small businesses owned and staffed by migrant women, primarily from Eastern Europe (e.g. Ukraine, Belarus, Russia) and Southeast Asia (e.g. Thailand and Vietnam). The project combines participant observations and interviews with workers and customers of nail salons in Helsinki to analyse forms of racialized intimacy that is made and unmade among women through touch, beauty and (self-)care.
The doctoral researcher will undertake an independent project on Asian nail salons in Helsinki that will lead to a PhD dissertation. The doctoral researcher will participate in the collection and analysis of the empirical materials, scientific publishing, organisation of project events and communication. The successful candidate should apply to the Doctoral Programme in Social Sciences and obtain the study right within the trial period of six months of their employment contract (if they do not yet have the study right).
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in generative AI for population health
We develop and apply advanced machine models to analyze health data from national databases in Europe. Utilizing architectures like the transformer neural network, these AI systems predict future health events and adapt to various healthcare tasks, aiming at more accurate prediction of progression of diseases like cancer, or estimation of future healthcare costs, useful in public health planning. We utilize large datasets from real patient records and registries e.g. from Finland (7 million people) and France (16 million people), and integrate different data modalities ranging from medication purchases to laboratory measurements and multi-omics. With the aid of such comprehensive data, it is possible to train more accurate models for minority groups and individuals suffering from rare diseases. We seek to make health data machine learning models more versatile, and improve privacy safeguards, advancing public health and healthcare innovation.
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Optical Spectroscopy
The position is related to the project “Gas Ion Separation Combined with Optical Spectroscopy: Next-Generation Detection of Threat Chemicals” funded by the Research Council of Finland in the research group of University Lecturer Markus Metsälä (https://researchportal.helsinki.fi/en/persons/markus-mets%C3%A4l%C3%A4/publications/). The project is a collaboration with VERIFIN (Finnish Institute for Verification of the Chemical Weapons Convention) and the goal is to combine ultra-sensitive photoacoustic spectroscopy with a novel, rapid chemical separation technique, Gas Ion Distillation (GID, see https://www.helsinki.fi/en/projects/gidprovis for details). The Doctoral researcher will develop a mid-IR laser spectrometer for threat chemicals using cantilever-enhanced photoacoustic spectroscopy (CEPAS). They will then work with project partners to couple the spectrometer to the GID setup for sensitive and chemically selective detection of chemical warfare agents. University of Helsinki has a long history of applying CEPAS for various gas sensing applications (see e.g. https://pubs.acs.org/doi/full/10.1021/acs.analchem.0c02887).
We are looking for a motivated student with keen interest towards experimental research and applications of trace gas analysis. An optimal candidate should have prior experience with optical spectroscopy and / or laser instrumentation. Previous experience with chemical separation techniques or ion mobility spectrometry is considered an advantage. The applicant should hold a master’s degree in chemistry, physics, or a related field. The applicant should either hold a doctoral study right at University of Helsinki or be able to attain one within the 6 months trial period at the beginning of employment. Excellent communication skills in English, both verbal and written, are expected.
Deadline : September 29th, 2025
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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