Tongji University - School of Economics and Management

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow, and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors, and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. Aalto University School of Engineering, Department of Built Environment, invites applications for a Doctoral Researcher in Transportation Engineering, Travel Behaviour Modelling, and Sustainable Mobility Systems The doctoral researcher will be embedded in the Spatial Planning and Transportation (SPT) research group and contribute to ongoing and forthcoming research projects funded through national and European programs. The PhD project will focus on the design, analysis, and evaluation of the behavioural impacts of user-oriented traffic and mobility management, with particular attention to sustainability, safety, and efficiency in multimodal transport systems. The PhD project may focus on one or more of the following themes: Traffic modelling and multimodal transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches for mobility analysis, prediction, or decision support Policy-oriented evaluation of traffic and mobility interventions Your experience and ambitions We are looking for a highly motivated candidate with strong analytical skills and a clear interest in transport systems, travel behaviour, and sustainable mobility. The successful applicant should enjoy working in an international and interdisciplinary research environment and be willing to engage with both methodological and applied research questions. Applicants should hold a master’s degree in transportation engineering, civil engineering, computer science, data science, economics, or a closely related field. Fluent written and verbal communication skills in English are essential. Also essential is the ability to work both independently and collaboratively as part of a research team. Previous knowledge and experience in the field of traffic and transport modelling is an advantage. Knowledge of Finnish is not required. Applicants must fulfil the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified at Aalto Doctoral Programme in Engineering | Aalto University. Your network and team The doctoral researcher will join a team of world-class researchers at Aalto University, a public research university that was established in 2010 after a merger of three major Finnish universities. It is consistently highly ranked in the areas of science, art, technology, and business. The University’s main campus is located in Espoo, approximately 15 minutes by metro from the centre of Helsinki. Helsinki is a safe, clean, green capital city with a very high quality of life. Most of the country’s population speaks English fluently. More information about living and working in Finland can be found at For international staff | Aalto University. The doctoral researcher will receive extensive individual academic training and support, and be given wide opportunities to participate in scientific conferences and meetings. The doctoral researcher will work under the supervision of Assistant Professor Shaya Vosough in the SPT research group: Spatial Planning and Transportation Engineering | Aalto University, at the Department of Built Environment. What we offer The position is fully funded for four years, with a preferred starting date in spring 2026 (negotiable). The doctoral degree is granted after successfully completing a set of advanced taught courses (30 ECTS), writing a doctoral thesis (usually based on publications), and defending the thesis in a public examination. During the PhD, the doctoral researcher will be expected to present at high-level scientific conferences, publish in leading academic journals, actively participate in the SPT research group activities, assist in the preparation of new research proposals, and help to advise master’s students during the preparation of their final project. The salary range, terms, and conditions are based on a collective bargaining agreement among Finnish universities. The starting salary is approximately 2900 €/month (gross), and it increases as the Doctoral Researcher progresses in the research and studies.  The initial contract period is 2 years, evaluated by a compulsory midterm review during the second year, with the possibility of extension for the remaining period (a further two years) if satisfactory progress has been made. Ready to apply? Please submit your application through our recruitment system by 13 February 2026. The link to the recruitment system can be found at the end of this job advertisement (“Apply now!”). If you are already working at Aalto, please apply via our internal system Workday -> Find Jobs. All applications must include the following materials: Motivation letter with the applicant’s contact information and an indication of the preferred starting date (max 1 page) CV including details of all academic outputs and email information for 2 persons who may be contacted to provide a character reference (max 2 pages) Outline of the applicant’s proposed PhD research project, including an overview of related research in the field, important academic theories/debates, research hypotheses/questions, research methods, work plan, data sources, and analytical approaches (max 3 pages) Summary of the applicant’s master’s dissertation (max 1 page) Copy of the applicant’s master’s degree certificate and transcript of studies (with a clear explanation of the grading scale). Students in the final year of their master’s are welcome to apply, but the expected graduation date must be clearly stated in the application. Candidates must have completed the master’s degree before the PhD contract begins. All materials should be submitted in English in a single PDF file (compiled in the order specified above). Applications submitted by email will not be accepted. Aalto University reserves the right to leave the position open, extend the application period, and consider candidates who have not applied during the application period. Further information Content-related questions about the vacancy may be directed via email to Shaya Vosough (PhD supervisor), while recruitment-related questions may be directed to Sanni Mero (HR Partner) using the email format sanni.mero@aalto.fi. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

Job Purpose: The POD robotics team is building up 3 specific domains capabilities to meet complex industry demands that spans across hardware, software, and AI. Adding a Full-Stack Robotics PO would add to the capability of the robotics team. This role will establish our technical standards by leveraging ROS2 and RMF to build standardised, reusable middleware for multi-robot coordination and fleet management as we embark to integrate with JTC ODP and enable center for conducting the testing certification at PDD when the sandbox is established. Knowledge of Embodied AI (SLAM, Reinforced Learning) is also critical for developing shared, plug-and-play autonomy capabilities that drastically accelerate project development speed. With a strong foundation in Mechatronics, this individual guarantee hardware-software integrity and mitigates technical risk by prototyping and troubleshooting physical components in-house. Recruiting this role is a strategic necessity to fuse these disparate domains, allowing the team to deliver robust, standardised modules and support our applied research portfolio. Key Responsibilities Participate and manage the industry project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met Involve in customer engagements, includes gathering of systems requirements and formulate scope Involve in the full development life cycle, i.e., design, development, and testing Generate technical proposals, design documents, test document Job Requirements Strong foundation in electrical engineering, mechanical design, mechatronics or systems engineering Project experience with sensor integration (e.g., LiDAR, cameras, IMUs), actuators, and motor control Experience in ROS (Robotics Operating System) or ROS 2, including package creation, message passing, and launch configuration. Experience with Robotics Middleware Framework (RMF) for multi-robot system coordination, fleet management, and interoperability is highly desirable. Proficiency in PCB design/prototyping, troubleshooting hardware issues, and using lab equipment (oscilloscopes, multimeters, etc.) will be an added advantage. Good programming skills in C, Python and/or C++ in a Linux environment (e.g. Ubuntu) Experience with version control systems (e.g., Git or CVS). Knowledge and some practical experience in areas such as Reinforcement Learning (RL), imitation learning, motion planning, computer vision, or SLAM (Simultaneous Localization and Mapping) as applied to physical robotic agents will be an added advantage. A Master's degree (or a Bachelor's degree with 8+ years of relevant experience) in Robotics, Computer Science, Electrical Engineering or a closely related field.

Applications are invited for:- Faculty of Social Science Assistant Professor (Ref: 26000004) The Gender Studies Programme at The Chinese University of Hong Kong is the first programme in gender studies in the tertiary education sector in Hong Kong. It is an interdisciplinary unit based in the Faculty of Social Science, offering Bachelor, MA, MPhil and PhD programmes. The forward-looking team of Gender Studies Programme is inviting applications for the post of Assistant Professor on substantiation (tenure) track to join from the academic year 2026-27 or as soon as possible. The appointee is expected to (a) conduct research and secure research grants; (b) teach courses at undergraduate and postgraduate levels; (c) supervise students’ theses; and         (d) undertake administrative duties. Applicants should possess: (i) a PhD degree by the time of reporting for duty; (ii) relevant research experience in gender/sex/sexuality-related areas; (iii) demonstrated potential/ ability for high quality research; and  (iv) a strong sense of responsibility and commitment to excellent research, teaching, and service. Applicants specializing in any of the following areas are preferred: Empirical gender/sex/sexuality studies ⁠Human and social development Social sustainability or sustainable development Applicants who specialize in a subject field in Social Science (e.g., Journalism, Social Work, Political Science, Economics) that adds to the diversity of the existing team or whose profile strengthens the programme’s internationalization are preferred. Applicants in cognate subjects (e.g., Education) will also be considered if they possess a profile of a good match to Social Science and especially if they are strong in quantitative empirical research. Appointment will initially be made on contract basis for up to three years, renewable subject to mutual agreement, and may lead to a longer-term appointment or substantiation. Review of applications will start in April 2026 and continue until the post is filled. For more information about the programme, please visit: https://www.gender.cuhk.edu.hk/. For initial enquiries, please contact Ms. Winnie Ling of the programme (email: winnieling@cuhk.edu.hk). Application Procedure Candidates should complete and submit the online application form with the following documents/information: (a) latest CV; (b) a cover letter; (c) a research statement; (d) two sample publications; (e) a teaching statement; (f) copies of academic credentials and relevant certificates; (g) names and contact information of three referees; and (h) evidence of teaching performance, if applicable. The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.