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 sustainable AI and cloud computing
The rapid growth of artificial intelligence (AI) has led to increased energy consumption in data centers, raising concerns about carbon emissions. To address these challenges and support sustainability goals, the project DecAI aims to decarbonize AI through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI’s development, operation, and use. This framework enables stakeholders, such as AI providers and data center operators, to evaluate and compare scenarios to reduce emissions. The framework will be released as a software tool to guide emissions reduction strategies. The project aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits for the electricity grid. By addressing AI’s entire lifecycle, DecAI offers a holistic approach to reducing carbon emissions.
Deadline : October 31st, 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher and Postdoc positions to work on Computational Social Intrinsic Motivation (SIM)
Our goal is to advance social AI, i.e. artificial agents capable of supporting us proactively or reactively in a range of virtual or embodied tasks. However, existing social AI and artificial agents more generally still struggle in delivering reliable support in situations that were not anticipated at design-time, and their decision-making processes may be hard to understand by interaction partners or operators. This project tackles these challenges by advancing Social Intrinsic Motivation (SIM), i.e. computational models of intrinsic motivation applied to the interaction of multiple agents.
Intrinsic motivation (IM), with curiosity being a well-known example, is crucial to human development, allowing us to acquire new knowledge and skills in the absence of specific tasks, and to adapt to new situations. Computational models of IM [*] inherit these properties, making artificial agents more independent of external instruction and allowing them to perform better in previously unknown tasks. Typically formalised in the framework of reinforcement learning, computational models of IM are not black boxes, which enables explanation of the emerging behaviour and supports trust by the AI’s designers and interaction partners.
SIM seeks to leverage the power of IM in the interaction of multiple agents. One example could be motivating an AI to optimise their partner’s intrinsic motivation, thus empowering them through its own behaviour. Pioneering work led to exciting findings such as emergent support of human interaction partners across tasks and without external instruction [1-4] or considerably improved cooperation within societies of artificial agents [5,6]. These are only few examples and what defines SIM is an open question – to be addressed in this project.
This project sets out to develop a better understanding of the space of possible SIM, to systematically develop new models informed by psychology, and to evaluate them through large-scale simulation and user studies. These models will then be applied in next-generation videogame AI [e.g. 1,2] as a stepping stone to other high-impact applications, and as a means to study the human mind. The project not only seeks to advance AI through a human-centric lens, but also to produce insights into how motivation guides social interaction, advancing research beyond computer science. The AIR group supports this through a track record of research on single-agent computational IM [e.g. 7], SIM [e.g. 3], and translational research with psychology [e.g. 8].
Deadline : 30.9.2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Industrial Wood Construction
We are currently seeking a skilled and highly motivated Doctoral Researcher interested in conducting research related to wood construction and structures. This position—Doctoral Researcher in Industrial Wood Construction—is a collaborative opportunity between Aalto University’s Department of Civil Engineering and XAMK (University of Applied Sciences) in Savonlinna. The candidate may be based either in Espoo or Savonlinna. If based in Espoo, periodic travel to Savonlinna is expected. The position offers full-time employment from Aalto for the full four-year duration of the doctoral studies.
The research topics are not strictly defined and should leverage the research facilities available at both Aalto and Savonlinna (Industrial Wood Construction and Technical Testing Laboratory – XAMK: https://www.xamk.fi/en/rdi/focus-areas/forest-the-environment-and-energy/fiberlaboratory/industrial-wood-construction-and-technical-testing-laboratory/)
In general, this position is part of a broader initiative to advance sustainable, high-performance wood construction through innovative materials engineering and industrialized building techniques. Potential research topics include, characterization of wood materials, particularly their mechanical properties, development of engineered wood products (e.g., CLT, LVL, GLT) and hybrid materials, strength grading, statistical and probabilistic modelling of mechanical behaviour, and/or development of wood construction technologies and industrial processes. The specific research topic(s) will be defined in collaboration with the supervising professor. Collaboration with the wood construction industry and related companies is expected.
Deadline : 15.9.2025
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher position in Experimental studies on Hydrogen and Methane combustion in Argon
This project investigates the combustion characteristics and jet dynamics of ultra-high-pressure (>300 bar) hydrogen and methane injections in argon environments, under engine-relevant conditions. Advanced optical diagnostics, including high-speed Schlieren imaging, Particle Image Velocimetry (PIV), and Planar Laser-Induced Fluorescence (PLIF) will be employed within a custom optical spray and combustion chamber to capture detailed flow and combustion phenomena.
The primary objectives are to visualize and quantify jet dynamics, mixing behavior, ignition delay, flame structure, and overall combustion characteristics in argon environment. The experimental data obtained from Mckenna burner, optical spray and combustion chamber, and optical engine will provide valuable benchmarks for validating Computational Fluid Dynamics (CFD) models of high-pressure, inert-atmosphere combustion. The project is particularly relevant to future low-emission or nitrogen-free power cycles. Prior experience with optical diagnostics or combustion systems is highly desirable.
Deadline : 27.8.2025
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher, Wood-based Functional Biocomposites
A four-year Doctoral Researcher position is available in the Wood Materials Science Group at the Department of Bioproducts and Biosystems, Aalto University, Finland. The thesis work will be carried out as part of the COOLWOOD project, led by Academy Research Fellow Dr. Shennan Wang and funded by the Research Council of Finland. The project aims to harness and enhance wood’s natural properties for climate regulation, with a particular focus on developing sustainable wood-based materials for passive cooling applications.
Deadline : 15 August 2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral or Postdoctoral Researcher in Computational Structural/Solid Mechanics
Research activities will involve computational methods relying on physics-based continuum models to assess the mechanical, thermal, and acoustical performance of fiber-enriched materials such as concrete and plastic. One of the objectives will be to correlate fiber characteristics, e.g., fiber properties, orientation, aspect ratio, concentration, distribution, fiber-matrix and fiber-fiber adhesion/cohesion characteristics, with materials performance in applications. As 3D printing will be utilized as one of the manufacturing options, the focus will also be on simulating the printing process, which requires, e.g., the definition of a proper material model that adequately describes rheological aspects and the adjustment of extrusion-related parameters.
Deadline : August 8, 2025
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher for Experiments in Swarming Dynamics of Living Swimmers
You would perform technically challenging swimming force experiments with tiny living organisms using a micropipette force sensor (see Backholm et al., Nature Protocols 2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396). Your first project would be to investigate the effect of nearby swimmers on the swimming dynamics of brine shrimps. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse your experimental data. You would be expected to take charge of your own research project, conduct your work with high scientific quality, and actively communicate your problems, mistakes, and scientific findings to the rest of the team. We help each other to succeed in making exciting new scientific discoveries. You would be expected to complete a PhD thesis within four years.
Deadline : 3.8.2025
(08) PhD Degree – Fully Funded
PhD position summary/title: Three Doctoral Researchers in Machine-Learning-Driven Atomistic Simulations
The three positions are fully funded and focus on the following research problems:
Position 1 is integrated within the project “Simulation of complex organics in astrophysical environments using machine learning (SpaceML)”, funded by the Research Council of Finland and supervised by Academy Fellow Dr. Rina Ibragimova within Prof. Caro’s group. The project focuses on investigating the formation and destruction of organics in the circumstellar environment using machine learning and computational chemistry.
Position 2 will seek to develop a new computational method combining atomistic modeling with experimental microscopy as an extension of our group’s original modified Hamiltonian formalism. This new method will be used to understand the atomistic structures of complex materials, like carbonized biomass for energy applications, across scales.
Position 3 will develop and utilize atomistic machine learning methods to study structural transformations taking place at the atomic scale via accelerated simulation. The new methods will be used to study pyrolysis and relaxation processes in glasses.
Deadline : 31 July 2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Theoretical Quantum Materials
Multiferroic materials exhibiting coexisting electric and magnetic orders and a strong magnetoelectric coupling, are at the frontier of condensed matter physics due to their potential for electrical control of quantum phenomena. The ultimate goal of this PhD project is to design of functional multiferroic superconductors by combining superconducting, magnetic, and ferroelectric materials in van der Waals heterostructures, enabling control of superconductivity via external electric fields. To achieve this, the PhD researcher will combine first-principles calculations and effective models. This theoretical project will facilitate close collaboration with experimental groups and enable benchmarking of theoretical predictions. The PhD researcher will be part of the Correlated Quantum Materials (CQM) group led by Prof. Jose Lado and work under the supervision of RCF Fellow Dr. Adolfo O. Fumega.
Deadline : July 31st, 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in solid-state quantum optics and optomechanics
The successful candidate will join a Tandem Industry-Academy funded project https://www.vaikuttavuussaatio.fi/en/funded-projects/tandem-industry-academia-tia-seed-2024/. developing next-generation optical computing technologies for ultra-fast, low-energy optical interconnects in collaboration with Microsoft and two Finnish SMEs. The project focuses on development new optomechanical control methods for macroscopic quantum states of light-matter Bose-Einstein condensates (BEC) using optical signals in the telecom and infrared (IR) spectral ranges.
Deadline : July 31, 2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate in Applied Mathematics
You will work on the theme of “Matrix nearness problems via Riemannian optimisation’’. Areas of mathematics that are relevant include matrix theory, numerical linear algebra, numerical analysis, optimisation, and differential geometry. The project lies at the intersection of numerical linear algebra and Riemannian optimisation, and its main goal is to perform further research on some recently introduced methodology based on recasting matrix nearness problems as optimisation tasks on manifold. You are expected to also coordinate with international researchers in the relevant disciplines.
Deadline : 30 July 2025
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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.
The university is named in honour of Alvar Aalto, a prominent Finnish architect, designer and alumnus of the former Helsinki University of Technology, who was also instrumental in designing a large part of the university’s main campus in Otaniemi.
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