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Researcher in Numerical Modeling of Sea Ice We are seeking a highly motivated Doctoral Researcher to join our ice mechanics research group at Aalto University to work on collaborative project between Aalto
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of management studies. The department has a lively, international research community with numerous doctoral students and post-doctoral researchers from several countries. The working language at the department is
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and social sciences and interact with city officials and developers Your experience and ambitions PhD in a relevant field (e.g., planning, urban studies, economics) Demonstrated expertise in housing
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-on experience in nano- and OLED fabrication, characterization and electronics is required. The applicant should hold (or expect soon) a PhD degree in a suitable field. Good command of English (both verbal and
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and oral communication skills in English Motivation for working in the laboratory, carrying out experiments, and data analysis Experience in one of the following fields is required from the chosen
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addition to research, you will also be expected to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1
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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 also be expected to take part in the supervision of PhD
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or similar. Running social simulations with AI agents using platforms like Concordia or similar. Coding in Python or a similar language for simulation, visualization, and advanced statistical analysis (causal
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sustainability performance. Build mentoring skills by helping and advising PhD researchers. Lead and write peer-reviewed articles for high impact journals. Participate in events, give expert talks, support in
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR