The Rockefeller University

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... Senior Lecturer Exercise Science - Strength, Speed, Coordination 59 Centre for Sport Science and University Sports Startdate: 01.09.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.08.2030 Reference no.: 5588 In the event of a positive evaluation at the end of the 4 years fixed-term period, the position will become permanent. Do you enjoy working with young people, are you curious, and do you want to share your knowledge? As a Senior Lecturer, you play a key role in the education of students. In addition to providing a solid academic foundation, we place particular emphasis on the personal development of our students. We support students in developing a curious and problem-solving mindset, thereby laying a solid foundation for the professional challenges of the next generation. A position as Senior Lecturer in the field of Training Science is available at the Centre for Sports Science and University Sports at the University of Vienna / at the Institute of Sport and Human Movement Science. The Institute offers degree programs in Sport and Human Movement Science as well as in the teacher training program for the subject of Physical Education and Sports. The position is rooted in university teaching and contributes to the instruction of training science content and practical skills in the education of sports scientists and teachers in the subject of Physical Education and Sports. Your workplace: As a Senior Lecturer, you will work in the field of training science and take on teaching responsibilities in the Sports and Movement Science programs. Teaching takes place at the bachelor’s and master’s levels and encompasses various teaching formats. Emphasis is placed on conveying training science content based on current scientific findings, as well as on a close connection between theoretical foundations and practical applications. A key focus of the teaching role is on conveying the fundamentals of training science, as well as on the planning, implementation, and evaluation of training processes and performance diagnostic procedures, particularly in the areas of strength, speed, and coordination training. This includes equipping students to plan, implement, and evaluate training interventions tailored to specific target groups, as well as to systematically analyse diagnostic data and their integration into training science-based decisions. In addition, teaching duties may also encompass other areas of training science and include contributions to the teaching of physical education and sports in teacher training programs. The 40-hour-per-week workload includes a teaching commitment of an average of 14 semester hours per week of academic instruction. Your future tasks: You actively participate in scientific teaching, research & administration, which means: You will independently lead courses at the bachelor’s and master’s levels You will actively contribute to the (further) development of course and exam formats You are expected to stay abreast of the current state of the field, engage in didactic professional development, and undertake research tasks during periods when you are not teaching. In addition, performing administrative tasks, particularly in the area of teaching administration, is part of the job profile What we expect: We are looking for people who see university teaching as an interesting and challenging career field. Requirements for application are:  A completed doctorate in sports and exercise science or a related discipline Several years of independent teaching experience at a post-secondary educational institution Enthusiasm for sharing knowledge and for university teaching Proven research experience at a postsecondary educational institution Experience in advising students and evaluating academic performance Experience using digital teaching and learning formats Ability to work in a team Willingness to contribute to the further development of academic programs and course offerings Excellent English skills What we offer: Work-life balance: You have flexible working hours and can also work remotely by arrangement. Inspiring work environment: You will be part of an international team with excellent research infrastructure. You will work with young people who want to learn from you and acquire knowledge and skills. Good public transportation access: Your new workplace is easily accessible by public transportation. Internal training and coaching: We offer you ongoing opportunities to expand and deepen your skills. Fair salary: The base salary ranges 5,014.30 € (based on full-time employment) and increases based on your professional experience. Equal opportunities for all: We welcome every new member to our team! It is that easy to apply: CV and transcripts Supporting documents, including course evaluation results if applicable Letter of motivation (max. 2 pages) Submission of a general teaching plan (max. 2 pages) List of courses taught List of publications and list of any research projects conducted or contributions to research projects Via our  job portal / Apply now - button If you have any questions, please contact: Barbara Wessner barbara.wessner@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 05/19/2026 (Senior) Lecturer & Researcher

The Faculty of Educational Sciences invites applications for the position of Postdoctoral Researcher for a fixed-term appointment for 3 years, starting in September 2026 or as agreed. The position is embedded in the AI-EMOTION project (Academic emotions in the AI learning era). AI-EMOTION is a European Research Council (ERC) funded project at the Faculty of Educational Sciences, University of Helsinki, led by Principal Investigator Dr. Elina Ketonen. We investigate what happens emotionally when students use AI tools in learning: how affect influences engagement, motivation and interaction in AI-mediated learning situations. The project brings together expertise from learning sciences, computer science and psychophysiology. Our aim is to advance theory on affective processes in human-computer interaction and to develop novel multimodal methods to measure and model emotions in real-world learning environments.  Job description The successful candidate will investigate academic emotions and emotional well-being in technology-mediated learning, with a focus on psychophysiological indicators of emotions in ecologically valid learning settings. The position contributes to the AI-EMOTION project by combining wearable sensor data (e.g., cardiac and electrodermal signals) with event-based self-reports (experience sampling). A central task is to drive methodological development by advancing and validating sensor data processing and feature extraction workflows, and by developing approaches to integrate these outputs with self-reports to model students’ emotions beyond laboratory settings. The work duties of the selected candidate include:  Planning and implementing data collection in real-world learning contexts (including wearable-sensor measurements and experience sampling via smartphones)  Processing and analyzing wearable-sensor data (e.g., preprocessing, artefact handling, feature extraction, synchronization/alignment with experience-sampling prompts)  Statistical modelling and analyses of collected multimodal data (e.g., within-person dynamics, multilevel models, dynamic models/time-series approaches)  Publishing results in high-quality international scientific journals and presenting findings at major conferences  Supporting project coordination and administration as agreed (e.g., contributing to reporting, documentation, data management practices, project deliverables)  Teamwork within the multidisciplinary research group (e.g., learning sciences, educational psychology, computer science)  Small-scale supervision and/or teaching tasks as agreed (e.g., co-supervision of theses, supporting research training within the project).  Qualification requirements and selection criteria We are looking for a creative and forward-thinking post doc who has (or is close to completing) a PhD in a relevant field (e.g., educational sciences, psychology, cognitive science, health sciences/biomedical engineering, data science) and demonstrate the ability to conduct independent, innovative and high-quality research. The successful candidate should have expertise in psychophysiological measurement and/or wearable-sensor data analysis, including signal processing and feature extraction, and a strong interest in studying emotions and well-being in technology-mediated learning, with a particular focus on AI. Excellent written and spoken English, as well as strong communication and collaboration skills, are essential given the interdisciplinary nature of the project. Experience with multimodal data integration, research with relevance to the project area and demonstrated experience of methodological development are considered merits. The position involves some fieldwork with study participants across the University of Helsinki’s campuses during the data collection, and regular on-site work at the University of Helsinki City Centre Campus. The appointee is expected to reside in Finland while employed by the University of Helsinki. The Faculty of Educational Sciences provides assistance in relocation. We offer The position offers a unique opportunity to work as part of an eager and ambitious team and contribute to delivering breakthrough research within an ERC-funded project.  The Faculty of Educational Sciences is a dynamic, inspiring and international working and studying environment that has invested in state-of-the-art research and teaching infrastructure. We encourage our staff to make bold and creative decisions while exercising high standards of ethical conduct in research, teaching and community relations.  Salary is based on level 5 in the requirement scheme for teaching and research positions in the salary system of Finnish universities. In addition, the appointee is paid a salary component based on personal performance. The gross monthly salary will be approx. 3,570 € - 4,010 € depending on the appointee’s qualifications and experience. A 6-month probation period is applied.  The University of Helsinki provides its staff with occupational health and fitness services, professional development opportunities, as well as a first-class research and teaching environment and the conditions necessary for international cooperation. Read more about work at our university. For international applicants we offer relocation services and support in settling-in, training and other events especially designed for our international staff members, a special UniBuddy-program and specialized support for spouses (HEI LIFE Spouse Network). You can find more information here.  How to apply  The application, together with the required attachments, must be submitted through the University of Helsinki recruitment system by clicking on the link below. Internal applicants (i.e., current employees of the University of Helsinki) must submit their applications through the SAP Fiori portal. Please note that all application documents must be submitted as a single PDF file either in Finnish or English, named as lastname_postdoc_AIemotion. Make sure to attach the PDF to the position you’re applying for in the recruitment system. Please include the following documents in your application:  A statement of motivation and competence (max. 750 words): your motivation for applying for the position, expected contribution to the project and key skills relevant to the position (especially wearable sensor/signal analysis and multimodal methods)  A CV (with contact information of two references) A list of publications with key publications relevant to the position highlighted  A brief research/development plan (max. 500 words): how you would develop methods for joint analysis of sensor data and experience-sampling (ESM) self-reports to advance multimodal emotion modelling within the project?  Kindly see instructions for the attached documents. Other attachments, including letters of recommendation or certificates, are not required at this point. We appreciate a self-written application that reflects your own voice and thoughts. The closing date for applications is May 31, 2026. Top candidates will be invited to an interview, which will be held either on site or remote in June 2026.  A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions.  Further information  Should you have any questions about the position, please contact Principal Investigator, Dr. Elina Ketonen (elina.e.ketonen@helsinki.fi)  In questions related to the recruitment process, kindly contact HR Specialist Hector Nystedt (hector.nystedt@helsinki.fi)  Click this link to read about accessibility and inclusivity at our University. Why Finland Finland is a member of the EU, has high quality and inexpensive childcare, free schooling and tertiary training (also in English), excellent family benefits and healthcare, and is ranked as one of the top countries in the world for expat families. Finland also repeatedly tops the World Happiness Report. Read more about why Finland is a great place to live and work.

The Faculty of Social Sciences at the University of Helsinki invites applications for the position of POSTDOCTORAL RESEARCHER IN COMPUTATIONAL SOCIAL SCIENCES for a fixed-term appointment from 1 September, 2026 to 29 February, 2028, or as agreed. We are seeking a highly motivated Postdoctoral Researcher with expertise in computational social science, particularly text-as-data approaches, to contribute to the next phase of Seeing Like a Tech Firm: Advocacy in the Era of Platform Capitalism (SEE TECH) project led by Academy Research Fellow, Dr. Matti Ylönen. About the project SEE TECH examines how large technology firms (“Big Tech”) influence political processes, regulation, and public discourse, with a particular focus on Europe. The project combines political economy, international political sociology, and regulatory studies to analyze how firms shape policy agendas, knowledge production, and governance frameworks. To date, the project has conducted over 100 elite interviews and produced early academic outputs on corporate influence and platform governance. The next phase of the project expands the empirical scope through computational and digital methods, enabling large-scale analysis of corporate advocacy, lobbying, and discourse. More information: www.see-tech.fi Position summary The position offers substantial intellectual independence and the opportunity to shape a cutting-edge research agenda at the intersection of political economy and data science. While we do have some specific ideas, the exact research tasks could also be partly tailored based on the key expertise of the selected applicant. The successful candidate will: Work with large-scale text corpora (e.g. our interview data, submissions, policy documents, corporate publications, media content) Possibly conduct network analysis Integrate computational findings with qualitative and interview-based research already conducted in the project Key responsibilities Conduct original research using computational methods Build and curate datasets relevant to corporate political activity Collaborate with the PI and research team Co-author academic publications and contribute to dissemination Participate in project meetings, seminars, and workshops Contribute to broader project outputs (policy briefs, events, etc.) Qualifications Required: PhD in International Political Economy, World Politics, Data Science, or related field Strong skills in computational methods, especially text analysis and possibly network analysis Programming skills (e.g. Python or R) Demonstrated ability to produce high-quality academic research Excellent written and spoken English Preferred: Familiarity in research in political economy, corporate power, or digital governance Familiarity with EU policy processes or global economic governance Experience combining qualitative and computational approaches Knowledge of Finnish, French, and/or German What we offer An interdisciplinary research environment at one of Europe’s leading universities Opportunities to collaborate internationally and engage with policy audiences Flexibility to develop your own research within the project’s themes The annual gross salary range will be approx. €46,000 – €52,000, depending on the appointee’s qualifications and experience. Standard Finnish pension benefits and occupational health care are provided for university employees. Further information can be obtained online. Access to high-quality computational infrastructure and research support The position is based in Helsinki (i.e. the candidate must live in Helsinki or be willing to move to Finland), with flexibility for short research stays abroad. The employment contract will include a probationary period of six months. How to apply Please submit your application through the University of Helsinki Recruitment System via the link "Apply now" (“Hae nyt”). Use your current email address to register to the Recruitment System. Only applicants who are currently employed by the University of Helsinki are requested to submit their application via the link “Employee login”. The closing date for applications is Wednesday 27 May, 2026 at 23.59 local Helsinki time (EEST).  Applicants are requested to submit the following documents in English: Cover letter (max. 2 pages) CV (including publication list) Short research statement (1–2 pages), outlining:  relevant expertise methodological strengths ideas for contributing to SEE TECH One writing sample (article, paper, or chapter) Optional: links to code repositories or data projects. Further information Further information about the position can be obtained from Academy Research Fellow Matti Ylönen, matti.v.ylonen@helsinki.fi. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers