Tohoku Medical and Pharmaceutical University

About the University As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The Role We are seeking a highly motivated and talented Research Fellow to join an exciting industry-funded applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of enabling ultra-reliable low-latency communications (URLLC) with priority-aware offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading algorithms. Conduct rigorous simulations and live PoC trials to ensure computation offloading algorithms meets URLLC targets for public safety services. Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong publication track record in top-tier conferences and journals in the areas of wireless communications, IoT, or edge computing. Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous.

The Trustworthy Machine Learning group is recruiting a PhD student funded by TeamPerMed Center for Data-Enriched Personalised Medicine. You will work with Professor Antti Honkela. You will develop privacy-preserving techniques for personalised medicine applications, covering both health record data and genetic data. The work will be based on differential privacy, that allows mathematically proving privacy preservation. The developed methods will be applied to real-world problems in collaboration with domain experts at the University of Tartu and the University of Helsinki. A start date in early September 2026 is ideal but it is flexible. The application deadline is 14 June 2026 (at 23:59 UTC +3). Requirements A master's degree in mathematics, statistics, computer science or a related topic Prior experience in machine learning and differential privacy is desirable Excellent English skills In addition, according to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes. We offer The opportunity to do fundamental research A world class academic community that promotes diversity, international engagement and equality. We encourage all qualified applicants from diverse backgrounds to apply for our positions. 3-year full-time contract A starting salary of ca. 2800 euros/month. The salary will develop in accordance with the progress. Occupational health care and other social benefits Support for internationally recruited employees with their transition to work and live in Finland A chance to live in Helsinki and Finland renowned for their high-quality of life, services, and work-life balance Application instructions Applications shall be submitted through the University of Helsinki´s recruitment system and include the following document CV  Transcripts from previous degrees A motivation letter (max 2 pages) Contact information of two referees to provide reference letters upon request  External applicants, please submit your application via the Apply Now button. Internal applicants, who have a helsinki.fi username and a valid employment/grant/visitor contract, please submit your application via the Employee login button. Additional information For more information on the position, please contact Professor Antti Honkela (antti.honkela@helsinki.fi). With technical questions related to the recruitment system, please contact recruitment@helsinki.fi. *** The Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate.

Department: Department of Physiotherapy and Rehabilitation – Faculty of Medicine Deadline: 22 Jun 2026 Start date: 1. 9. 2026 Job type: part-time Job field: Science and research | Education and schooling The Dean of the Faculty of Medicine of Masaryk University appoints a selection procedure for the position Assistant Professor of the Department of Physiotherapy and Rehabilitation (with shorter working hours 4-12 hours per week) The Department of Physiotherapy and Rehabilitation is an educational and research institution of the Faculty of Medicine of Masaryk University. Provides teaching of study programs in non-medical fields. You can also learn more about us on our website, Facebook or Instagram. You can also learn more about us on our website, Facebook or Instagram. The workplace: Brno The scope of your work will be: Participation in theoretical and practical teaching at the department Preparation of study and teaching materials Membership in state final examination committees Involvement in the education of students in doctoral study programs Independent research and development activities, including publication and presentation of research results Participation in the organizational support of research and teaching activities, including related administrative tasks Required qualification: Completed university education in general medicine, or equivalent education attained abroad Completed education in a doctoral study program or specialized medical qualification in Rehabilitation and Physical Medicine or a related field in accordance with Act No. 95/2004 Coll. Teaching experience in the field of physiotherapy Professional experience in the field of rehabilitation medicine Ability to conduct independent professional and scientific work, including publication activity Ability to actively participate in international conferences or professional seminars Active command of the English language Excellent command of the Czech language, both spoken and written Proactive approach, initiative, and willingness to pursue further education Civic and moral integrity We offer: Background of a prestigious and successful institution. Work in an inspiring intellectual environment with a strong focus on interdisciplinary collaboration. Opportunity to participate in teaching at a unique simulation center. Professional growth and opportunities for continuous education. Employee benefits (8 weeks of vacation, contribution to pension insurance, free vaccination against tick-borne encephalitis, and more). How to apply: Send your application by the above-written deadline - please use the link in the Electronic Application section (see below). Your application must include the following documents: a structured CV, an overview of scientific and publishing activities, photocopies of qualification papers and diplomas, contact information of at least two references (name, position, telephone number). After successfully sending your application, you will receive an automatic confirmation by e-mail. You can provide more information via e-mail: bobusova@med.muni.cz.