Feng Chia University

Department: Psychology Research Institute – Faculty of Social Studies Deadline: 15 Mar 2026 Start date: October 2026 Job type: full-time | part-time Job field: Science and research MASARYK UNIVERSITY Dean of the Faculty of Social Studies ANNOUNCES A CALL FOR APPLICATIONS FOR THE PHD POSITION PhD Position: Groups, Social Influence, and the Spread of Attitudes & Behaviors Host: Masaryk University, Department of Psychology, Brno, Czech Republic Research group: Behaviors of Individuals and Groups (BIG lab) Supervisor: Tibor Zingora Position: Full-time PhD PROJECT OVERVIEW People in social contexts, such as adolescents in schools, form social groups that shape daily contact, influence, and norm formation. This PhD project investigates how friendship networks and group boundaries shape the diffusion of attitudes and behaviors (e.g., prejudice-related attitudes, pro-environmental behaviors, academic motivations), and how this knowledge can inform interventions that spread positive change while avoiding unintended consequences. The project relies on longitudinal school network data and advanced quantitative and computational methods. WHAT YOU WILL DO Work with longitudinal classroom network and survey data Contribute to data collection as part of a larger research team Conduct advanced quantitative analyses Develop publishable papers and present at international conferences YOUR PROFILE Strong interest in the project topics  Master’s degree in Psychology, Sociology, Political Science, Education, Data Science, or related field Strong quantitative skills required Network experience appreciated; SAOM/RSiena training provided -Excellent English Willingness to relocate to Brno WHAT WE OFFER A supportive, lively research environment with international collaboration Career development support (publishing support, conference travel, potential internships) Flexible working hours EMPLOYMENT & FUNDING Start: 1 October 2026 Funding combines a standard salary component (32k CZK, taxed) and a PhD scholarship component (16k, tax-free). Residence in Czechia required. We look forward to welcoming a new colleague to Brno, a wonderful and vibrant city in southeast Czechia. HOW TO APPLY Please send a motivation letter (max 2 pages), CV, Master’s diploma (or expected completion), writing sample, and referee contacts. MOTIVATION LETTER SHOULD INCLUDE Research interests and project fit Quantitative background and methods interests One concrete research idea relevant to the project Informal inquiries are welcome—please feel free to contact Tibor Zingora. All information will be processed in accordance with GDPR. Masaryk University is committed to equal opportunity and welcomes applications from all qualified candidates Please use the link provided in the Electronic Application section. Application deadline: 15 March 2026

Job Purpose At SIT's Professional Officers Division, we bring our rich industry experience and technical skills into our work, creating a better physical environment where learning and innovation take place. We work with teaching programmes and innovation projects to improve the skills of our students and to strengthen & energise our industry and the wider community. A Professional Officer has a combination of job responsibilities relating to the following: participate in and manage innovation projects, manage digital technology related resources, and mentor & facilitate student learning. The Centre for Digital Enablement (CoDE) drives the initiatives to elevate digital competencies for academic staff and students within SIT. It works with various stakeholders, both internal and external, in upskilling digital literacy across the organization through literacy programmes and digital innovation projects in relation to the Digital Learning Spaces (DLS). For this role, you will spearhead the various AI enablement programmes in SIT, manage the AI related resources and initiatives within CoDE, and lead AI projects within SIT and with industry partners to support teaching and learning objectives. You will also be responsible for developing and delivering digital literacy courses to undergraduate students and academic staff as part of the institutional drive to ensure our graduates are ready for a highly digitally-enabled workforce. Additionally, you’ll be required to mentor and facilitate student learning by participating in and managing student projects. Key Responsibilities AI Enablement Programmes Lead and oversee a range of AI enablement programmes to facilitate the growth of AI skills among SIT undergraduate students and academic staff. Develop an AI Competency Roadmap, providing guidance for SIT undergraduate students and academic staff in developing their AI competencies. Stay up-to-date with the latest developments in AI, ensuring the continued relevancy and currency of the AI enablement programmes and AI Competency Roadmap. Manage AI-related resources within the division such as the administration of software, hardware systems, and equipment. AI Projects Drive AI projects within CoDE to support teaching and learning objectives. Collaborate with industry partners, faculty, Professional Officers and other stakeholders to conduct applied research in AI related technologies. Supervise and mentor students in the development of AI projects. Teaching & Student Mentorship Develop and deliver digital skills literacy related courses or workshops to undergraduate students and staff. This includes development of learning contents and activities, providing consultations on digital skills/technology related queries, and assessment and grading of students’ work. Mentor and facilitate student learning by participating in and managing student projects. Any other matters as directed by Director/Deputy Director of CoDE. Job Requirements A good degree in Computer Science or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. 10+ years of working experience, including at least 5 in Artificial Intelligence, Machine Learning, Analytics, or a related area.SIT Internal Proven experience in developing and deploying AI solutions. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar. Proficiency in data preprocessing, model training, and evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Possess strong supervisory skills and project management skills. Good interpersonal skills and ability to work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. Enjoy working closely with students in an educational environment.

Department: School of Nursing Vacancy ID: 039463 Closing Date: 15-Feb-2026 The Role Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an excellent academic to join our staff as an Assistant Professor/Lecturer in General Nursing. The person appointed will have a proven record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s and PhD students. The appointee will be expected to build a strong research profile, that supports the University’s research strategy including affiliating to the Research Institutes, where appropriate and working with colleagues on national and international research. The appointee will be expected to sustain and conduct research, engage in scholarship of quality and substance and generate publications of international standard.  Salary Assistant Professor / Lecturer: €64,753 – €102,539 p.a. (7 points) Assistant Lecturer: €42,099 - €71,998 p.a (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 15th of February 2026. Please note all applications must be made via our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University