Ca’ Foscari University of Venice

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 postdoctoral 59 Centre for Sport Science and University Sports Startdate: 03.04.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 02.04.2032 Reference no.: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer Science in Sport. Your future workplace The Department of Sport and Human Movement Science, a subunit of the Centre for Sport Science and University Sports, addresses all major fields of sport and human movement science. It provides perfect conditions for an interdisciplinary exploration of topics related to sport and human movement with great social relevance – for instance, health, ageing, use of digital technologies, education and participation. The research area of Computer Science in Sport specializes in topics of applied computer science in biomechanics, human movement science, performance analysis and optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening an independent research profile Participation in research projects Responsibility for project applications and the acquisition of third-party funding Organisation of lecture series and participation in seminars and events International publications and presentations Teaching duties as defined by the collective agreement Supervision of students Participation in the departmental, teaching and research administration  Required qualifications Doctoral degree (PhD or equivalent) in the field of Sport Science, Human Movement Science or Computer Science with a focus on Computer Science in Sport or Sports Analytics Expertise in one of the following areas applied to sports and/or human movement science: Computer Vision Match & Performance Analysis Machine Learning Ubiquitous Computing Virtual Reality Teaching experience Excellent command of English as working language, German is an advantage Ability to work in a team Desirable qualifications A promising publication record Experience in (external) fundraising Experience with working in research projects International experience Knowledge of university processes and structures What we offer Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). 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 in the vicinity of the center of beautiful Vienna 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 5.014,30 (14 times a year) increases if we can credit professional experience. Equal opportunities for all: We look forward to diverse personalities in the team! Application material Letter of motivation (in English or German) Academic CV, including a list of publications and taught courses (in English or German) Short description of current research and research plans (2-3 pages, in English or German) Short description of teaching experience and approach (1-2 pages, in English or German) Contact details of two referees Doctoral degree certificate Via our job portal / Apply now - button If you have any questions, please contact: Arnold Baca arnold.baca@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: 03/21/2026 Post Doc

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively and individually make a real difference. The role We are seeking an ambitious and highly motivated postdoctoral Research Fellow in quantitative genetics to join a multidisciplinary research team. The post involves working with a team based at the University of Surrey, King’s College London and the University of Oxford. The post is based at the University of Surrey with Professor Angelica Ronald. The project aims to advance understanding of the brain basis and common genetic architecture underlying infant and childhood neurodevelopment, with a particular focus on the development of autism spectrum conditions. Objectives will be achieved by applying advanced multivariate analytic methods to large-scale datasets emerging from genome-wide association studies of developmental traits. Existing datasets, including genetic, neuroimaging and clinical data, will be combined to generate novel insights into biological and developmental processes contributing to autism and related traits. You will be responsible for conducting a range of advanced quantitative analysis on secondary datasets incorporating genetic, neuroimaging and clinical data on child development. You will have responsibility for supporting integration across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout the project you will work with an interdisciplinary team of lead investigators and external collaborators. You will have access to advanced methodological training courses and other professional development training opportunities. You will lead on high-impact publications, conference presentations and dissemination of results. About you You should have a doctoral degree in a relevant discipline such as quantitative genetics, behavioural genetics, human genetics, developmental psychology, neuroscience and individual differences psychology (although individuals who have almost completed a doctoral degree may be appointed). You will also have an undergraduate degree in a relevant discipline with a 2:1 or first-class grade (or international equivalent). You will already have some experience in conducting quantitative data analytic studies and preparing data for analysis and be proficient in using R, Python or similar programming language. You should have the ability to write clearly and concisely with a good publication record commensurate with the level of your career, and the ability to work independently with excellent organisation and communication skills. How to apply Please apply on the University website with your CV and cover letter explaining your suitability for the role. You are welcome to contact Prof. Angelica Ronald (a.ronald@surrey.ac.uk) if you would like further information or to discuss the post. This is a two‑year fixed‑term role. Interviews will be held 30th April and 1st May 2026 Further details Job Description

Department: IT Services Vacancy ID: 040563 Closing Date: 25-Apr-2026 Maynooth University wishes to appoint a Network Specialist (Cyber) at AOII grade on a full-time permanent basis. The Network Specialist (Cyber) will manage, configure and maintain campus network services, ensuring the security and availability of the network service. They will take a hands-on role in the support of the campus network service, administer data centre network services on campus and cloud hosted, and be involved in the future planning and development of services. The role will assist in ensuring that the security of the network is aligned with university policies and will proactively administer security infrastructure including the campus firewall. They will provide direct support and information to users of the network service. This role will report to the ICT Infrastructure Manager with day-to-day work activities set by the Senior AOI staff member within the networks group of the Infrastructure Team. Applicants should be aware that this is a role that supports critical infrastructure located on campus and as such, the successful applicant will be expected to work on campus to discharge their duties and on limited occasions it may also be necessary to work outside normal hours as is typical with roles involving critical infrastructure and services. The ideal candidate will have a solid technical understanding and experience of networking for enterprise data centres, wired and Wi-Fi services and network security technologies with experience working in a physical campus environment. They will be a strong collaborator with excellent interpersonal and communication skills. Salary: Administrative Officer II: €46,918 – €66,464 p.a. (9 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Saturday, 25th of April 2026. 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