Aalto University, 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 Aalto University, Finland.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Transport Studies
The doctoral researcher will be embedded in the Spatial Planning and Transportation (SPT) research group and contribute to the CO-SPACES research project funded by the Research Council of Finland. The aim of CO-SPACES is to assess the benefits and burdens created by current and possible future urban street space distribution in Finnish cities, with a focus on both the aggregate societal impacts and equity implications affecting different groups of people, as well as on how to integrate this assessment into existing local governance processes. The PhD project should focus on the last part, especially around the questions of governance – by both understanding the diverse actors’ views and assumptions and working with them to reimagine governance processes.
Deadline : 1.9.2026
(02) PhD Degree – Fully Funded
PhD position summary/title: A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians
You will develop data-driven and machine learning workflows to predict Wannier Hamiltonians, phonon properties, and electron–phonon coupling in layered transition-metal dichalcogenides (TMDCs) such as MoS₂, WS₂, MoSe₂, WSe₂, and WTe₂. For training the machine learning models, you will generate datasets from electronic structure theory calculations using Quantum ESPRESSO, Wannier90, and EPW. You will apply the developed E(3)-equivariant AI framework to quantify band-convergence effects on thermoelectric transport (Seebeck coefficient, conductivity, ZT) and to model gas adsorption effects (NH₃, CO, CO₂) relevant to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council of Finland project ELPH-ML (https://research.fi/en/results/funding/88752). In combination with academic development courses at Aalto University, we will help you grow a competitive and international career profile.
Deadline : 31.08.2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in quantum computing and algorithms for Life Science applications
Your primary task as a doctoral researcher is to conduct research in quantum algorithms and quantum information, leading to the completion of your PhD. You are expected to take an active role in advancing the MQS group’s research projects.
Our recent work has focused on the theory and applications of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design.
You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem sizes, and systematically benchmarked against fully classical baselines. In parallel, medium‑ to long‑term quantum algorithms will be explored to assess quantum readiness and to establish innovative methodologies relevant to each application field. The exact research topics can be tailored to your interests within the scope of our current projects.
Your goal is to produce world‑class research results, in collaboration with other group members in the lively environment of the MQS group, and to publish them in high‑impact journals. In addition to research, you will be expected to take doctoral coursework and participate in the group’s teaching activities.
Deadline : August 31st, 2026.
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Structural Health Monitoring and Condition Assessment
The successful candidate will conduct doctoral research at the intersection of structural engineering and artificial intelligence. The research will focus on advancing methods for monitoring, assessing, and managing civil infrastructure through innovative sensing technologies and data-driven approaches.
The research topics include:
- Structural health monitoring of bridges and other civil infrastructure
- Finite element analysis
- Laboratory and field-based structural testing and data acquisition
- Direct and indirect sensing methods for bridges, including remote sensing techniques
- Machine learning and artificial intelligence for infrastructure condition assessment
- Damage detection and software/application development for structural assessment
The doctoral degree will be awarded upon successful completion of advanced doctoral coursework (30 ECTS), preparation of an article-based doctoral dissertation, and a successful public defence of the thesis. During the duration of the doctoral studies, the researcher will be expected to present publish in leading academic journals and high-level scientific conferences, engage in teaching-related duties, actively participate in the research group activities, assist in the preparation of new research proposals, and help to advise master’s students during the preparation of their final project.
Deadline : 31st August 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems
Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems?
We are now looking for a fully funded Doctoral Researcher to work on AI-based and quantum-inspired methods for sustainable energy systems. The position is funded by the Research Council of Finland (RCF) and is part of the project “Smart, Economic, and Sustainable Energy Management of Green Maritime Industry via AI Approaches” (SiGMA). The position is hosted by the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering.
The research will focus on the modelling, optimization, and operation of AI+Energy systems, integrated energy systems, green hydrogen, ship and port energy systems, and energy-intensive infrastructures such as data centres. The research group is led by Assistant Professor Zhengmao Li and focuses on multi-energy system optimization, AI-driven energy management, green hydrogen integration, and sustainable maritime energy systems. The position will also benefit from the group’s ongoing research activities and collaborations, and will provide opportunities to work with academic and industrial partners in Finland and internationally.
Deadline : 30.8.2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Non-gray Thermal Radiation Modelling
The successful candidate will conduct doctoral research at the intersection of fire safety and energy engineering. The research will focus on developing non-gray models for the radiative properties of multi-phase flows, with particular attention on the fuel particles in wildland fires. The research topics include:
- Extending full-spectrum non-gray models for gases to solid particles
- Experimental characterization of fuel particles using FTIR
- Mathematical model formulation and programming
- Model implementation in Fire Dynamics Simulator CFD code
- Experimental validation of simulations
- Machine learning for accelerated evaluation of radiative properties
The doctoral degree will be awarded upon successful completion of advanced doctoral coursework (30 ECTS), preparation of an article-based doctoral dissertation, and a successful public defence of the thesis. During the duration of the doctoral studies, the researcher will be expected to publish in leading academic journals and high-level scientific conferences, engage in teaching-related duties, actively participate in the research group activities, assist in the preparation of new research proposals, and help to advise master’s students during the preparation of their final project.
Deadline : 15.8.2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in nano-scale control of optical fields
In this position, you will act as a doctoral researcher working on design and testing of novel nanofabricated optical components. The design will be done using advanced numerical calculation methods, such as Finite Element Method (FEM) and Finite Difference Time Domain (FDTD) method. Approaches based on inverse engineering and machine learning will also be considered. The samples will be fabricated using the clean room facilities of Aalto University and tested using the equipment of the Optics and Photonics group. We expect you to be able to generate good scientific ideas, propose new technological solutions, initiate and maintain scientific collaboration, write scientific articles and research proposals, and participate in teaching. We expect you to graduate as a Doctor of Science in four years.
Deadline : 4.8.2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher (PhD student) in area-selective atomic layer deposition (AS-ALD) simulations
The main focus of your research will be to unravel the mechanisms that provide selectivity in AS-ALD, as well as the factors leading to degradation and loss of selectivity. To achieve this, it is critical to establish a reliable methodology for training and validating of underlying MLIPs, including testing these against the reference method (DFT) for properties such as adsorption, diffusion and reaction energies. Furthermore, we aim to answer the following questions:
How can various small-molecule inhibitors in combination with different non-growth and growth areas be exploited in the design of new AS-ALD processes?
How do the surfaces and deposited thin-films evolve during typical ALD operating conditions?
What are the main mechanisms behind area selectivity in superlattice-based AS-ALD (SAS-ALD)?
Are there any non-established ways to induce area-selectivity?
The goal is for you to become an expert in ALD simulations, large-scale reaction modelling and enhanced sampling methods. This implies that you will command both gas-phase and interfacial dynamics, and the skills you acquire are therefore highly transferable and applicable to related fields such as heterogeneous catalysis, as well as material and surface sciences in general. You will have the opportunity to share your results with and learn from an interational research community at conferences and during mobility.
Deadline :2.8.2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Students (theoretical foundations of distributed quantum computing)
You will work in the research group of Jukka Suomela. This is one of the leading research groups in the areas of theory of distributed and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper award at FOCS 2019. These positions are supported by an ERC Advanced Grant (Distributed Quantum Advantage, 2026–2031) and a QuantERA grant (Quantum Network Algorithms, 2026–2029); in the QuantERA consortium we have partners in Canada, Czechia, France, Germany, and Italy.
Deadline : 31.7.2026
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Fatigue of WAAM Structures
In this position, your doctoral research will focus on how WAAM-induced geometric and material imperfections affect fatigue strength. You will identify repeating surface features in WAAM builds and investigate suitable geometry and material properties to quantify their effects on fatigue life. Theoretical and numerical modelling will be validated with fatigue experiments. The key feature of the investigation is the role of local geometry imperfections, such as undercuts, in explaining their link to local stress–strain fields and fatigue crack initiation. Your research work will contribute to the development of international guidelines for fatigue design of WAAM components and structures.
This doctoral project integrates detailed geometry and microstructure with physics-based simulation to understand fatigue in WAAM components. The work involves characterizing as-built surfaces and reconstructing them into high-fidelity finite element models that preserve key geometric features. Simulations will estimate local stress concentrations and cyclic strain to assess fatigue life, guided by measurements of spatially varying material properties and microstructural features such as grain size. The simulation results will be validated with full-field deformation data and fatigue experiments, culminating in a predictive framework that links WAAM surface and microstructural heterogeneity to fatigue initiation and life.
Deadline : 31.7.2026
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About Aalto University, Finland –Official Website
Aalto University is a university located in Espoo, Finland. It was established in 2010 as a merger of three major Finnish universities: the Helsinki University of Technology (established 1849), the Helsinki School of Economics (established 1904), and the University of Art and Design Helsinki (established 1871). The close collaboration between the scientific, business and arts communities is intended to foster multi-disciplinary education and research. The Finnish government, in 2010, set out to create a university that fosters innovation, merging the three institutions into one.
The university is composed of six schools with close to 17,500 students and 4,000 staff members, making it Finland’s second largest university. The main campus of Aalto University is located in Otaniemi, Espoo. Aalto University Executive Education operates in the district of Töölö, Helsinki. In addition to the Greater Helsinki area, the university also operates its Bachelor’s Programme in International Business in Mikkeli and the Metsähovi Radio Observatory in Kirkkonummi.
Aalto University’s operations showcase Finland’s experiment in higher education. The Aalto Design Factory, Aalto Ventures Program and Aalto Entrepreneurship Society (Aaltoes), among others, drive the university’s mission for a radical shift towards multidisciplinary learning and have contributed substantially to the emergence of Helsinki as a hotbed for startups.Aaltoes is Europe’s largest and most active student run entrepreneurship community that has founded major concepts such as the Startup Sauna accelerator program and the Slush startup event.
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