Xavier University

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 47 Faculty of Psychology Startdate: 01.06.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.05.2030 Reference no.: 5492 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The University of Vienna Research Platform ‘Trustworthy Science Communication’ announces a PhD position in the Health Psychology Group, located within the Department of Clinical and Health Psychology at the Faculty of Psychology. Members of the research platform will conduct science communication research with a specific focus on the question of trust in science. This research will be interdisciplinary, and led by researchers in Communication Science, Computer Science, Psychology, and Science and Technology Studies. Together, we will examine public trust in science through cutting-edge research on science communication. Our research will be built on the understanding that public trust in science is complex, shaped by perceptions of trustworthiness, communication practices, and shifting social and political contexts. Trust cannot be assumed or manufactured; it must be earned through consistent integrity, transparency, and responsiveness. Because political developments, media narratives, and societal change continually challenge the relationship between science and the public, trust must be actively maintained. Addressing this challenge requires an interdisciplinary approach, as trust in science is conceptualized differently across fields. By integrating these perspectives, this platform aims to advance research on the foundations and practice of trustworthy science communication. We invite applications for PhD projects located in and beyond each of the participating disciplines. All PhD candidates will work with an interdisciplinary supervision team, and will be able to join one of the doctoral schools at the University of Vienna. Applicants should be able to demonstrate interest in or experience with public science communication, the capacity to carry out interdisciplinary research, and the research skills necessary to complete a PhD. Further details of each position are provided below The successful candidate for this position will be employed by the Department of Clinical and Health Psychology and their research project will be supervised by an interdisciplinary supervisory team from the University of Vienna.  The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Your future tasks: You actively participate in research, teaching & administration, which means: Conduct science communication research focusing on the contributors to and consequences of trust in science for human and planetary health. Contribute to the development and monitoring of a comprehensive social science data collection platform including mostly quantitative, but also qualitative data sources (e.g., panel surveys, online experiments, ecological momentary assessment, digital trace data, media coverage) for the longitudinal investigation of the relationships between (science) communication, trust in science, relevant attitudes and other psychological constructs, and behavioural outcomes. We expect you to join the Vienna Doctoral School Cognition, Behavior, and Neuroscience (CoBeNe) and conclude a doctoral thesis agreement within 12 months. You work on your dissertation and its completion. You publish in international peer-reviewed academic journals. You participate in national and international conferences and workshops. You hold courses and examinations independently and (co-)supervise students within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching. You become an active team member of the Research Platform "Trustworthy Science Communication and the Department of Clinical and Health Psychology, a subunit of the Faculty of Psychology. This is part of your personality: All candidates in the Research Platform are expected to have the following qualifications as part of their profile: Strong interest in interdisciplinary research at the intersection of science communication and their original field of study Ability to work independently and as part of a research team in a collaborative environment. Proven ability to manage complex projects, prioritize tasks, and meet deadlines. Excellent verbal communication skills for interdisciplinary collaboration and presenting research findings. Excellent English skills, both written and spoken. In addition, the following specific requirements apply to the position advertised here: Relevant Master’s degree (e.g. psychology, communication science, or related disciplines) Knowledge of quantitative social science methods such as online surveys or experiments, daily diary studies, ecological momentary assessment, or studies involving digital trace data Knowledge of quantitative data analysis methods and related software (e.g., R, SPSS, JASP) Interest in open science principles Very good German skills, both written and spoken, and some knowledge of qualitative data collection and analysis methods are desirable, but not required What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) for a period of 4 years / 48 months increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With a letter of motivation that describes your previous research achievements, your research goals, your career plans, and your reasons for applying; With a complete CV, including a list of previous scientific expertise, awards, grants, stays abroad, attended lectures, attended summer schools, attended workshops, skills, and publications (if applicable); With an abstract in English of your MA/MSc thesis, BA/BSc thesis, or of a research project you were involved in; With a 1-page research pitch describing an idea for a PhD dissertation within the research area of human and planetary health, which would fit within the research focus of the “Trustworthy Science Communication” research platform; With a complete list of finalised studies and transcripts of all grades; With 1-2 names of academic references and their contact addresses (e.g., your Master’s thesis supervisor); With any other material you think is relevant Via our  job portal / Apply now - button If you have any questions, please contact: Laura Maria König laura.koenig@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: 05/14/2026  Prae Doc

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

Faculty of Applied Sciences, Engineering Research Centre of Applied Technology on Machine Translation and Artificial Intelligence, Ministry of Education Recruitment of Full-time Academic Staff Macao Polytechnic University (MPU) is a comprehensive and public university distinguished by high standard of scholarship in both teaching and applied research. Through the all-rounded scheme for cultivation of professionals, bachelor, master's and doctoral degree programmes are offered in different fields so as to nurture high-quality professionals with global vision. According to the approval by the Administrative Board, and the Teaching Staff Charter of Macao Polytechnic University in force, applications are invited through open recruitment for full-time academic staff. Full-time Lecturer in the area of Artificial Intelligence / Big Health 8 Vacancies (Ref. 2526-FCA-009) Job Duties: Applicants shall perform the duties as stipulated in Article No. 5 and Paragraph No. 1 of Article No. 8 in the Teaching Staff Charter of Macao Polytechnic University in force and be able to teach Advanced Topics in Intelligent Rehabilitation Therapy, Data Analytics , Applied Machine Learning, Project Report, etc. (taught in English). Qualifications: Applicants must be Macao residents and possess a Master’s Degree or an Integrated Doctoral Degree without granting a master’s degree in a field related to Artificial Intelligence / Big Health. Closing Date for Application: 26/05/2026 17:45 Salary and Fringe Benefits: The salary index of Associate Professor ranges from 540 to 760 (1 index point = MOP94), with pre-tax annual salary from MOP710,640 to MOP1,000,160 (USD1 approx. = MOP8). The salary index of Lecturer ranges from 430 to 640, with pre-tax annual salary from MOP565,880 to MOP842,240. The salary scale will be determined in accordance with the appointee’s academic qualifications, tertiary teaching experience and/or relevant professional experience. The appointee will be entitled to the welfare and benefits, including provident fund, medical benefits, housing allowance, and family subsidies, as stipulated in the Personnel Charter of Macao Polytechnic University in force. Please browse the MPU recruitment webpage for details of Notice for above Full-time Academic Staff Recruitment http://mpu.mo/recruitment, applicants should submit their applications with the required documents specified in the Notice for Full-time Academic Staff Recruitment on the MPU recruitment webpage (http://mpu.mo/recruitment), or submit the applications in person to the Personnel Office, Macao Polytechnic University, Rua Luis Gonzaga Gomes, Macao, China. Applications by post and email will not be accepted. For enquiries: Tel: +853-8599 6109 / 8599 6104 / 8599 6125 Email: recruit_staff@mpu.edu.mo