Are you holding Master’s degree and ready to elevate your academic journey to the highest level? Aalto University, Finland, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
PhD position summary/title:– Doctoral researcher, Process electricification
Do you enjoy mathematics and want to use your knowledge on chemical processes to create decision-making tools for the future industry? If you are a creative and analytical person and like programming this might be something for you!
We are looking for a doctoral researcher (“PhD student”) to work on the interesting field of energy transition. In particular, we would like to understand how the plans for process electrification could be realized such that the transition of production processes and its environment is both feasible, economic and sustainable. 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.
Deadline : 15.11.2024
(02) Fully Funded PhD Position
PhD position summary/title:– Doctoral Researcher, Information Age: Scoping, teaching and learning pro-cesses of doctoral education in engineering
We are looking for a doctoral researcher to study doctoral education in the Finnish context. The researcher will be working in the Engineering Education Research Group and the Finnish Doctoral Pilot Project under the Digital Waters (DIWA) Flagship. The doctoral research focuses on identifying the critical areas and experiences of the doctoral education process and the experiences of all. Data consists of prospective longitudinal and retrospective mapping data. The thesis research can focus on a specific area within the broader framework of doctoral supervision and education upon joint planning.
Deadline : 15.11.2024
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(03) Fully Funded PhD Position
PhD position summary/title:– PhD Student Position in Multi-agent Reinforcement Learning and Planning
The Robot Learning research group is seeking a talented PhD student with strong interest in Multi-agent Reinforcement Learning and Planning.
The Aalto Robot Learning research group operates in the intersection of artificial intelligence and robotics. We focus on developing methods for reinforcement learning, robotic manipulation, decision making under partial observability, imitation learning, and decision making in multi-agent systems. The goal of the research group is to help robots understand what they need to learn to perform their assigned tasks, and, thus, make robots capable of operating on their own and pro-actively help humans. To accomplish these goals the research group develops novel decision-making methods and uses these methods to solve unsolved robotic tasks. For more information, please see https://rl.aalto.fi.
The main task of the PhD student will be to develop new machine learning methods for optimizing multi-agent behavior. The developed methods may be based on one of our focus areas including, but not limited to, reinforcement learning and planning under uncertainty. Example research topics include but are not limited to multi-agent curriculum learning, model-based multi-agent reinforcement learning, and multi-agent planning and control. The developed methods may be evaluated with real robots. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to some of the research topics in your Letter of Motivation.
Researchers from the areas of Machine Learning, AI, Robotics, and related areas including Reinforcement Learning, Control Engineering, Computer Vision, Statistics & Optimization, or Mathematics & Physics are welcome to apply. The candidate is expected to conduct independent research and at the same time contribute to the topics listed above. Successful candidates will be furthermore given the opportunity to work with undergraduate and M.Sc. students.
The research group collaborates internationally and nationally with research groups in construction, computer vision, robotics, mobile heavy machines, human-robot interaction, reinforcement learning, imitation learning, multi-agent systems, under-water vehicles, and robot motion planning. There will be ample opportunities for international collaboration.
Deadline : 10.11.2024
(04) Fully Funded PhD Position
PhD position summary/title:– Two (2) Doctoral Researcher positions in Super-Resolution Microscopy and Single Molecule Tracking
We are looking for an enthusiastic and motivated doctoral researchers who are interested in applying and/or analyzing data from super-resolution microscopy and single particle tracking to study intracellular life of bacteria. You will contribute to some of the following areas: experimental work in the laboratory, imaging using a custom TIRF microscope, data analysis, machine learning, and modelling. You will adapt existing and develop novel methods and protocols to collect and analyse scientific data from a variety of sources so that hypotheses can be tested, reviewed and refined. You will also carry out collaborative projects with colleagues within our group and from other institutions. You are proactive, self-directed researcher who manages your projects effectively and presents the results at internal and external meetings and seminars.
You will work full time on the doctoral research and to complete the thesis and the associated studies in four years. The doctoral degree consists of the student’s research project resulting in peer-reviewed publications, studies specific to the research field, as well as transferable skills training.
Deadline : 31.10.2024
(05) Fully Funded PhD Position
PhD position summary/title:– Doctoral Researcher in Remote Sensing
The Remote Sensing Research Team (https://www.aalto.fi/en/remotesensing) is seeking a highly motivated doctoral researcher to work in a project “Transferable models for remote sensing of forest biomass with spaceborne lidar” funded by the Research Council of Finland.
Our project develops new methods for remote sensing of forest above-ground biomass. We will use satellite laser sensors to provide regional estimates of biomass and its change 2003–2027 for the entire European boreal forest zone. Satellite lasers can directly measure tree heights and forest canopy densities. Statistical and physically-based models are used to convert these measurements into accurate estimates of biomass. Special attention is paid to model transferability, which guarantees that the predictions are reliable for different types of forests. Regional estimates of biomass change and its components are calculated for the Nordic and Baltic countries, as well as European Russia. Our project will help to improve and harmonize the quality of European forest resource information.
Deadline : 30.10.2024
(06) Fully Funded PhD Position
PhD position summary/title:– Doctoral Researcher in field of biomass chemistry
We are now looking for a doctoral researcher to join the Circular Biobased Materials group at Aalto University. In this position you will have a chance to make an impact by upcycling forestry side streams (bark) into advanced packaging materials, as well as increase the overall yield of forestry products. You will use fundamental aspects of biomass chemistry, analytical methods, plant structures, and fibre science to develop methods to extract composite fibres from bark biomass. The work is done in close collaboration with an industrial partner.
Deadline : 28.10.2024
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(07) Fully Funded PhD Position
PhD position summary/title:– Doctoral Researcher in “Application of Machine Learning for Model Development in Hydrogen Reactive Flows”
The research will be carried out at Aalto University’s Energy Conversion and System research group at the Department of Mechanical Engineering. In this position you will have a chance to make an impact on developing advanced numerical models for turbulent reactive flows of e-fuels including ammonia/hydrogen blends using machine learning techniques.
You will develop advanced numerical models using detailed CFD data such as direct numerical simulations (DNS). Also, you will gain experience in conducting high-fidelity numerical simulations and analyzing your data using machine learning techniques. You will have the opportunity of research visits to the best research groups of the field around the world as well as meeting highly-talented researchers of the field through international seminars and conferences.
Your research will be part of a research project in which your work will consist of computational studies to find proper numerical models for turbulent reactive flows. In this work, you will be able to interact with other computational researchers in our group working on various other applications (e.g. combustion in burners/engines, numerical modeling, programming, etc). As part of your doctoral candidate duties, you will also gain experience in teaching and instructing other students.
Deadline : 27.10.2024
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.
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