11 Postdoctoral Fellowship at Aalto University, Finland

The Aalto Visual Communication Design research group is looking for candidates for a postdoctoral position in the area of creativity and well-being. The selected postdoctoral researcher will work on a project investigating the role of individual and group creative activities, such as visual arts and visual storytelling, in promoting well-being.

The position will be filled as soon as possible for a full-time fixed 24-month term (other options maybe negotiated). The salary is determined based on experience and qualifications according to the salary system of Aalto University, starting from around 3800 Euros per month. Employment contract includes occupational health benefits.

A study background and doctorate degree in computational soft materials physics, polymer technology, chemistry, materials science, or related field, as well as, a good publication history and a strong understanding of soft matter and macromolecular assembly, especially polymer materials and/or driven self-organization and assembly, are needed. Specific expertise can focus on modelling of e.g., polymer, colloid or nanoparticle systems. We work at atomistic scale but value coarse-grained and multiscale expertise, and ability to combine the particle-based approaches with statistical mechanics and continuum scale modelling of soft materials. The candidate should have demonstrated expertise in dissemination of scientific results and be well versed in data handling and linux/unix based high performance computing environments (HPC computing). The candidate must have good oral and written command of English.

A study background and doctorate degree in computational soft materials physics, polymer technology, chemistry, materials science, or related field, as well as, a good publication history and a strong understanding of soft matter and macromolecular assembly, especially polymer materials and/or driven self-organization and assembly, are needed. Specific expertise can focus on modelling of e.g., polymer, colloid or nanoparticle systems. We work at atomistic scale but value coarse-grained and multiscale expertise, and ability to combine the particle-based approaches with statistical mechanics and continuum scale modelling of soft materials. The candidate should have demonstrated expertise in dissemination of scientific results and be well versed in data handling and linux/unix based high performance computing environments (HPC computing). The candidate must have good oral and written command of English.

As an ideal candidate you have a PhD or you are finalizing your PhD in the beginning of 2024. You have a strong background in ultrasonics, employing single channel or multichannel systems and strong skills in signal analysis or advanced methods in ultrasound imaging. You should have a strong capability to design and conduct experimentation related to quantitative ultrasonics as well as have capability on designing transducer arrangements. The candidate is expected to be familiar with modern methods applied in contact or air ultrasonics, preferably applied for material or tissue characterization. The candidate should have skills in electronics, hardware and preferably prototyping.

Ideally, you are a strong communicator with excellent interpersonal and English skills. You are capable of managing your own workload and can work both independently and as a part of the team. You are expected to contribute to instructing PhD students. Therefore, we expect successful supervision experience or potential to supervise successfully. You demonstrate a high level of enthusiasm and commitment to the highest level of academic research with ambitious goals and you have published high-impact research.

HIIT Research Fellow positions support the career development of excellent advanced researchers who already have some postdoctoral research experience. While HIIT Research Fellows have a designated supervisor at University of Helsinki or Aalto, they are expected to develop their own research agenda and to gain the skills necessary to lead their own research group in the future. HIIT Research Fellows should strengthen Helsinki’s ICT research community either through collaboration or by linking ICT research with another scientific discipline. In either case, excellence and potential for impact are the primary criteria for HIIT Research Fellow funding. The contract period is up to five years in length.

HIIT Postdoctoral Fellow positions are intended for researchers who have recently completed their doctoral degrees, typically within the last three years. HIIT Postdoctoral Fellows are not hired to work on externally funded projects but are intended to support one or more of the aforementioned HIIT strategic focus areas. These positions provide opportunities for development as a researcher within a research area from one of the four departments conducting ICT research in Aalto University and University of Helsinki. The contract period is up to three years in length.

The Department of Economics at Aalto University invites applications for a postdoctoral fellowship, starting no later than September 2024. We prefer candidates with a strong background in urban, transportation or spatial economics. Applicants should hold a doctoral degree (or be near completion of the doctorate) in economics or in a related field. The applicants will be reviewed based on their research and activity in the scientific community.

The duration of the postdoctoral fellowship is 2 years, with the possibility to extend to a third year. We offer outstanding research facilities, access to administrative data, time devoted to research, and balance between opportunities to collaborate with faculty and to pursue an independent research agenda. We expect the postdoctoral fellow to carry out and supervise high-quality scientific research, teach one course in urban economics and be an active member of our urban economics research group.

The Department of Mathematics and Systems Analysis https://math.aalto.fi/en/ is looking for a postdoctoral candidate in the area of mathematical coding theory and its applications to federated learning, especially with a view towards data privacy. The research will be supervised by Dr. Ragnar Freij-Hollanti and Prof. Camilla Hollanti, together with an international team, within the framework of a joint project with the Department of Electrical Engineering at Chalmers University of Technology, Sweden (Prof. Alexandre Graell i Amat). The project is funded jointly by the Wallenberg Autonomous Systems and Software Program (WASP) in Sweden and Aalto University in Finland. 

We are looking for a new postdoc or PhD student in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in – if we are already working on it, all the better, but we are willing to listen to new ideas too.