Postdoctoral Fellowship (05) at Aalto University, Finland

ou will conduct research in one or several of the following topics:

1. Commutators of singular integrals and pointwise multipliers (with Hytönen),

2. Poincaré inequalities and Sobolev-type spaces (with Hytönen and/or Korte),

3. Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game theory and theory of metric spaces (with Korte).

The positions are associated with Research Council of Finland projects Commutators, compactness, and application; Finnish Centre of Excellence in Randomness and Structures; and Geometric analysis, stochastics and partial differential equations, interactions and applications.

The starting date is flexible, preferably no later than September 2026. The positions are for a period of 1–2 years with a possible one-year extension. Considering different life situations, applications for a longer or a shorter contract with us are equally welcome.

The project aims to unlock quantum regime of optomechanics with polaritons by utilizing GaAs/AlAs-based microcavities with embedded quantum wells. These unconventional optomechanical systems exhibit a unique “magic coincidence” of their phonon and polariton properties allowing for the simultaneous trapping of light and sound within the same high-Q cavity, and resulting in extremely high optomechanical interaction for the polaritons and mechanical modes in GHz range. The project is carried out in close collaboration with leading experts in semiconductor cavity optomechanics in Berlin, providing access to complementary expertise and device know-how.

We aim to cool mechanical degrees of freedom deeply into their quantum ground state and observe sideband asymmetry, using dilution refrigerator with optical access and free space interferometry.  Beyond ground state cooling, the project targets bi-partite quantum states preparation and coherent control of phonons and polaritons. The successful candidate will join the MQO-QNOF team at Aalto University and build a state-of-the-art cryogenic optical experiment combining advanced interferometry, quantum optics techniques, and unique semiconductor cavity structures unavailable elsewhere.

Are you more of a programmer than your researcher colleagues?  Are you more of a researcher than commercial developers?  Do you want a career that involves research and science but isn’t the academic tenure track?  The Academic Research Software Engineer position is your next step on that path.

This position will be similar to a postdoc, but with an emphasis on research infrastructure, HPC,and engineering rather than preparation for an academic career path.  You will be involved in research, but more focused on learning and improving how computing, workflows, and data are used in research than finding your own novel research results and publishing them.

You will work with research groups and be affiliated with Aalto Scientific Computing (ASC).  You’ll serve as an intermediary between the two.  Compared to the staff of ASC, you will be directly working within research groups, much more involved in day-to-day research, follow projects for a much longer period, and more involved in publications.  Compared to a typical academic position, you will have a joint affiliation with ASC and get extra training in research engineering.  There will be less emphasis on novel results for the sake of novelty, and more on applying and developing best practices in the way the research is done.

The Helsinki Institute for Information Technology (HIIT) is seeking Postdoctoral Fellows to join the Helsinki region information technology research community. The position is intended support early-career researchers on their road towards being independent researchers, in collaboration with one or more supervisors in HIIT Faculty. The position gives the fellows excellent opportunities for high-quality and high-impact research and for creating research networks supporting their careers.

The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models capable of breakthroughs. The research will mix state of the art numerical skills with analytic understanding. Your task is to predict new classes of materials that have not been considered before, beyond substitutional frameworks, and target desirable properties such as high critical temperature. The work is done in close collaboration with experimentalists: the most promising materials will be synthesized, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types of materials.     

We are searching for a Postdoctoral Researcher with excellent numerical skills and a deep understanding of condensed-matter physics concepts. Experience in machine learning, DFT, symmetry aware learning, material science, and group theory is required.

Andrei Bernevig is a leading scientist in the research of quantum materials and has, for example, predicted topological materials and developed a systematic approach to identify thousands of new topological materials. Päivi Törmä has pioneered the idea that quantum geometry allows supercurrent and superconductivity in flat bands where non-interacting particles are localized. For recent research outputs of the PIs, please see Andrei Bernevig’s entry at Google Scholar, and Päivi Törmä’s at Google Scholar.