Do you have a Master’s degree and are looking for fully funded PhD opportunities? Aalto University, Espoo, Finland is now accepting applications for several funded PhD programs across a range of research areas.
1. Fully Funded PhD in Machine Learning and AI (several positions)
Summary of Funded PhD Program
Finnish Center for Artificial Intelligence FCAI and ELLIS Unit Helsinki invite applications for research positions in machine learning. You will join one of the top AI research centers in the Nordics and in Europe, with access to an excellent network of scientists and a broad range of possibilities to work with companies. We are looking for new PhD students to FCAI and ELLIS Unit Helsinki. Your research can be theoretical, applied, or both. The positions are in the following areas of research:
1) Reinforcement learning
2) Probabilistic methods
3) Simulation-based inference
4) Privacy-preserving machine learning
5) Collaborative AI and human modeling
6) Machine learning for science
Application Deadline: 2.2.2025
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2. Fully Funded PhD in Business, Economics and Finance
Summary of Funded PhD Program
This year, Aalto University School of Business will offer up to eighteen 50% employment contracts to students who demonstrate outstanding progress and excellence in their studies. The expectation is that the successful candidates will work full-time on their doctoral dissertations and will independently apply for additional funding from external sources. During the employment contract, however, the successful candidate may raise no more than 15.000€/year in external grant funding (in addition, candidate may apply for different travel grants) or have no higher than 50 % employment contract elsewhere. Please note, that the employment contract should support the doctoral dissertation work.
Application Deadline: 31.1.2025
3. Fully Funded PhD in seawater electrolysis
Summary of Funded PhD Program
We are looking for a Doctoral Researcher to develop coatings on electrocatalysts to protect them from the corroding and poisoning environment of saline seawater. Fresh water is a limitation for wider adoption of green hydrogen production via electrolysis. Developing durable electrocatalysts for the demanding seawater conditions is a key to realizing efficient seawater electrolyzers. This work will combine advanced synthesis methods of electrocatalyst materials with electrochemical analysis of the materials as well as sophisticated in-situ analysis techniques and versatile material characterization.
Application Deadline: 31.1.2025
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4. Fully Funded PhD in Computational Solid Mechanics
Summary of Funded PhD Program
We seek a highly qualified, talented and motivated individual, with an enthusiastic attitude towards high-quality research, to work as a Doctoral Student or Post-doctoral Researcher at the Department of Civil Engineering in the team of Computational Structural Engineering supervised by Associate Professor Jarkko Niiranen
Application Deadline: 31.1.2025
5. 12 Fully Funded PhD in Privacy for Smart Speech Technology (PSST)
Summary of Funded PhD Program
“Privacy for Smart Speech Technology” (PSST) is a joint doctoral training programme and Horizon Europe Marie Skłodowska-Curie Action, the European Union’s flagship funding programme for doctoral training. We are a consortium of 7 European universities and 11 industrial partners searching for 12 PhD students to work on the protection and evaluation of privacy for smart speech technology. PSST is a unique opportunity, as it is the largest international project focusing on privacy in speech technology and because the importance of privacy has only recently gained wider appreciation.
Application Deadline: 26.1.2025
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6. Fully Funded PhD in Advanced Student Modeling and Tailored Large Language Models for Personalized Learning in Computer Science
Summary of Funded PhD Program
The Advanced Student Modeling and Tailored Large Language Models for Personalized Learning in Computing Education research project is seeking a dedicated and talented individual for a salaried PhD student position. The position is part of a project funded by the Research Council of Finland. The successful candidate will have the opportunity to conduct cutting-edge research with world-leading experts in computing education, specifically investigating tailoring large language models (LLMs) for personalized learning of programming. The project has two main focus areas: 1) advanced student modeling which will inform the LLMs and 2) fine-tuning LLMs to provide pedagogically valid support for learners.
Application Deadline: 26.1.2025
7. Fully Funded PhD in Hygrothermal Building Physics for Resilient Renovations
Summary of Funded PhD Program
This PhD research project at the Department of Civil Engineering will examine how hygrothermal building physics can inform material-based renovation strategies to address these demands. This work might involve a collaboration with TalTech in Estonia, and other foreign institutions. Research activities may include experimental testing on building materials, on-site measurements in existing buildings, and numerical simulations. The role may also involve supporting Master’s thesis students in their research and contributing to funding proposals.
Application Deadline: 15.1.2025
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8. Fully Funded PhD in systems and methods development in the field of cancer biomechanics
Summary of Funded PhD Program
We are looking for an experienced and motivated candidate who is expected to have a strong background – in biophysics, electrical engineering, mechanical engineering, or a related specific field such as microrobotics, rheology, and soft matter physics – that is applicable to techniques development in cancer biomechanics. We appreciate previous experience in related live-cell imaging, biophysical instrumentation, and computational science. A previous relevant publication record is considered a benefit in our evaluation. Candidates are expected to have or develop a strong scientific writing ability. Fluent spoken English is also required.
Application Deadline: 12.1.2025
9. Fully Funded PhD in Multi-level optimization of industrial processes
Summary of Funded PhD Program
We are looking for a doctoral researcher (“PhD student”) to work on the interesting field of integrating different decision levels of processes. Decision levels are here mainly focused on planning and scheduling of production and associated supply chains. Supply chains can relate to raw-materials, waste, product delivery, energy supply and also include elements of sustainability and circularity. In this work, the concepts of chemical engineering, operations research and computer science will meet as you may also need to deploy machine learning to support data analytics and complex decision making processes.
Application Deadline: 31.12.2024
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