École Nationale Polytechnique

Position Details Part-Time 0.5 FTE | Fixed term until June 2028 Higher Education Officer Level 6 | $94,456 - $100,710 p.a.pro-rata Location: Bedford Park / Kaurna Country View Position Description About the Role Reporting to the Manager, Marketing and Communications, the Graphic Designer will play a key role in delivering high-quality visual content across campaigns, publications, and promotional materials. The incumbent will develop creative concepts and produce engaging print and digital content tailored to diverse audiences. Working closely with internal stakeholders, the Graphic Designer translates briefs into effective design solutions aligned with ARIIA’s brand and style guidelines, ensuring consistency and clarity across all outputs. The position also develops templates, presentations, and visual assets to support staff communication, and contributes to the creation and distribution of multimedia content to enhance organisational reach and engagement. Please refer to the attached position description, for a comprehensive list of roles and responsibilities. About You You bring a strong, well-rounded skill set across both print and digital design, with demonstrated proficiency in Adobe Creative Cloud applications including Illustrator, InDesign, Photoshop and Premiere Pro. You also have advanced experience using Canva to produce high-quality, on-brand content efficiently. Your solid understanding of pre-press preparation and print production ensures accuracy and consistency from concept through to final output. With extensive experience in digital-first content creation, you are confident producing engaging assets tailored to a range of platforms and audiences. You are highly organised, with excellent time-management skills that allow you to prioritise competing deadlines, exercise sound judgement, and work independently with minimal supervision. You approach your work with flexibility and curiosity, readily adapting to new challenges and embracing opportunities to expand your skills. You are a quick learner who stays current with industry trends and tools. A tertiary qualification in a design-related field, or an equivalent combination of relevant qualifications and practical experience, underpins your professional capability. Aged Care Research & Industry Innovation Australia (ARIIA) continues to transform the way we care for Older Australians. Funded by the Australian Government Department of Health, Disability and Aged Care, ARIIA delivers activities across three workstreams to improve aged care for all Australians. Bringing together consumers, industry and researchers, ARIIA translates research into practice to modernise and pave the way for sector wide improvements, making a real and meaningful change to the aged care sector. Life at Flinders We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world. Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders? 17% Superannuation + salary packaging options Flexible working arrangements Our commitment to wellbeing through our Thriving@Flinders initiative Wide range of professional development activities and services, including exclusive staff study offers  We embrace diversity and promote equity and inclusion for all students and staff, as shown through our three SAGE Cygnet Awards. Vibrant campus life and amenities including on campus health care services, gym and childcare centre(Bedford Park, South Australia). Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies. Please see here for our Reconciliation Action Plan  Please see here for our Indigenous Workforce Strategy  Prescribed Conditions for Employment A current Nationally Coordinated Criminal History Check which is satisfactory to the University will be required by Flinders University before the successful applicant can commence in this position. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. How to Apply and Information You are required to submit a CV, along with a Suitability Statement, as a separate document. This should be no more than 3 pages, and address the Key Position Capabilities of the Position Description Please also provide a document of no more than 3 pages, with ten to twelve examples of your work. For more information regarding this position, please contact Tom Wilson Certification Applications to be submitted before 10.00pm: 21 May 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.

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 Scientist postdoctoral 47 Faculty of Psychology Startdate: 01.07.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5615 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! The Faculty of Psychology at the University of Vienna comprises the Dean's Office, a StudiesServiceCenter (SSC) and four institutes. The position to be filled is based at the Chair of Clinical Psychology of Childhood and Adolescence (Univ.-Prof. Dr. Martina Zemp) at the Institute of Clinical and Health Psychology. Our research area investigates, among other things, family risk and protective factors for mental disorders in childhood and adolescence in basic and applied research (see for specific focal points: https://kpkj-psy.univie.ac.at/forschung/forschungsschwerpunkte/). Methodological foci include research syntheses, Ecological Momentary Assessment (EMA) and behavioral observation of family interactions. We offer excellent working opportunities (including a newly established observation laboratory in the faculty's outpatient unit for research, teaching and practice, https://flpa-psy.univie.ac.at), a young and motivated working team as well as international collaborations and intensive support with the possibility of further scientific qualification (possibly habilitation) for young researchers. The position is limited to a period of 10 months and the employment level is 40 hours/week with the possibility of subsequent unlimited employment. Find out more about us: Instagram https://kpkj-psy.univie.ac.at/ https://klinische-gesundheit-psy.univie.ac.at/ Your personal sphere of play: As a senior scientist postdoc, you will join the research team and take on the following tasks: Independent planning, implementation, and evaluation of research projects (quantitative, qualitative, and mixed-methods studies), studies using observational data, and research syntheses (scoping reviews, systematic reviews, meta-analyses, and metascience approaches) Advanced statistical evaluations (especially machine-learning based analyses) Leadership roles in data protection, data management, and general research workflows Publication of research results in international peer-reviewed journals Active participation in national and international scientific conferences Student supervision (especially co-supervision of master’s theses) Acquisition of third-party funds Holding of examinations, if necessary Participation in and independent teaching of courses in accordance with the collective agreement (if necessary) Your profile: Completed doctoral degree/PhD in psychology (preferably in a research area relevant to the research group/ clinical child and adolescent psychology) High level of expertise in research in the field of clinical psychology of childhood and adolescence, especially in the specific focus areas of the working group (https://kpkj-psy.univie.ac.at/forschung/forschungsschwerpunkte/) Extensive experience in the management and implementation of third party funded research projects and in scientific publishing Good knowledge of quantitative analysis methods (including machine learning-based analyses)  and motivation to deepen methodological skills Extensive experience in conducting research syntheses (scoping reviews, systematic reviews, meta-analyses, and metascience approaches) Experience in acquiring third-party funding Experience in student supervision (especially in the context of final theses) Very good written and spoken German and English Skills Ability to work in a team  Strong organizational skills and commitment High level of initiative and independence The following qualifications are also desirable: Proven research expertise & initiative through international publications Relevant publications in the research areas of the working group Experience in conducting qualitative and mixed-methods analysis Experience in collecting and analyzing observational data Knowledge of university processes and structures What we offer: Further academic qualification (possibly habilitation): We offer support for a scientific career with very good supervision and in a motivated, committed team Further training and supervision: We offer you the opportunity to expand and deepen your skills (e.g. teaching). Scientific exchange: You will take part in international conferences and, if necessary, guest residencies Work-life balance: We offer you the opportunity to work remotely (maximum 50% of working hours) by arrangement. Inspiring working environment: You will be part of a team with excellent research infrastructure in a pleasant working atmosphere. Appreciative team culture: As a team, we meet regularly for team meetings and various activities (team lunches, retreats, Christmas parties, etc.). Good public transport connections: Your new workplace is easily accessible by public transportation. Fair salary: The basic salary is EUR 5.014,80 (14 x per year; basis: 40h full-time employment). It is that easy to apply: Letter of motivation Academic curriculum vitae incl. list of publications, list of courses, list of lectures/conference contributions Copy of the diplomas Copy of the dissertation (desired) Letters of recommendation and/or references (desired) Via our job portal/ Apply now -  button If you have any questions, please contact: Urs Markus Nater urs.nater@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: 05/16/2026 (Senior) Lecturer & Researcher

Location: Chengdu, China (On-site) Institute: CDUT-Oxford Brookes College Programme: MSc in Big Data & Artificial Intelligence Start Date: September 2026 or earlier We are seeking highly motivated and qualified academics to join our dynamic team at the CDUT-Oxford Brookes College. This role is at the heart of our new MSc in Big Data and Artificial Intelligence, a programme designed to equip students with the advanced technical skills and theoretical foundations required to excel in the rapidly evolving fields of data science, machine learning, and artificial intelligence. If you are an educator passionate about shaping the next generation of AI and data science professionals, we want to hear from you. The Role You will deliver high-quality, practical teaching across the programme's core modules, which cover the full spectrum of data science and AI. Your teaching portfolio will include: Programming and Software Tools (COMP7001): Introducing students to the principles of programming, software engineering, and the use of software libraries for data science and AI solutions. Principles of Data Science (COMP7035): Guiding students through data collection, processing, analysis, and visualisation methodologies, with an emphasis on data security and privacy. Machine Learning and Data Mining (COMP7034): Teaching students the fundamentals of machine learning algorithms, data mining techniques, and responsible AI practices, including model evaluation, bias mitigation, and ethical considerations. Statistical Modelling (COMP7036): Equipping students with regression analysis techniques, generalised linear models, and advanced statistical methods essential for robust data analysis. Research Methods (COMP7037): Preparing students to conduct rigorous, ethical research, including literature review, project planning, and understanding of professional and legal issues in computing. Group Software Project (COMP7029): Facilitating collaborative, live project experiences where students apply software production principles, project management, and teamwork to solve real-world problems. MSc Dissertation in Computing Subjects (COMP7039): Supervising students through their final research project, guiding them from proposal to final thesis. This role requires a strong technical foundation combined with the ability to teach complex concepts in an accessible, applied manner. You will guide students through the entire data science lifecycle, from data preparation and exploratory analysis to machine learning model deployment and evaluation, always with an emphasis on ethical practice, information security, and responsible innovation. In addition to postgraduate teaching, you will be expected to teach and mentor final-year (Level 6) undergraduate students enrolled in the dual bachelor's degree, including supervising their final year research projects. The teaching load is up to 20 class periods per week. Due to the profile of our students, who are often working professionals, teaching may be scheduled in the evenings or on weekends. You will also provide at least 6 class periods per week of office hours for student support and mentorship. Key Responsibilities: Deliver innovative, practical, and theoretically grounded teaching across data science, machine learning, AI, and software development modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and data science tools to collect, process, analyse, visualise, and model complex datasets. Guide students in understanding the ethical, legal, and security implications of AI and data-driven systems, fostering a culture of responsible practice. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied AI and data science problems. Facilitate group software projects, helping students develop collaboration, project management, and technical documentation skills. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. Uphold the highest standards of education and scholarly engagement. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach practical programming and data science skills, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data science and AI (e.g., Python, R) and relevant libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). A strong understanding of machine learning algorithms, statistical modelling, and data mining techniques. Proven experience in supervising postgraduate dissertations and/or undergraduate final year research projects. Excellent communication and interpersonal skills, with the ability to work effectively in a cross-cultural environment. A commitment to fostering student success and a positive learning experience. Willingness to teach in the evenings or on weekends as required. Desirable: Experience teaching within the British higher education system or on British university modules. Experience teaching in transnational education (TNE) or joint programme settings. A postgraduate degree (PhD or Master's) obtained from a British university. An emerging or established research profile in AI, machine learning, data science, or a related field, evidenced by publications. Experience with industry collaboration or applied AI/data science projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies. Experience facilitating group projects or industry-sponsored live projects. Equality, Diversity, and Inclusion: We are committed to building a diverse and inclusive academic community. Female candidates are strongly encouraged to apply. Salary & Benefits: Competitive Package: An attractive salary commensurate with qualifications and experience. Relocation Support: Comprehensive support including annual flight allowance. On-campus accommodation or a housing allowance may be available subject to availability and university policy at the time of appointment, and full visa/residence assistance. Career Growth: Opportunities for personalised professional development and career advancement. Research Opportunities: Potential to engage in research aligned with the institute's strategic goals. Lifestyle Assistance: Dedicated support team to help with all aspects of living and settling in Chengdu. About CDUT-Oxford Brookes College The CDUT-Oxford Brookes College is a prestigious transnational education partnership between Chengdu University of Technology (CDUT) and Oxford Brookes University, United Kingdom. CDUT has offered TNE programmes since 2004. The college is home to around 100 academic staff members serving a student body of over 2,000. Our qualified and experienced faculty deliver a range of programmes, currently offering four undergraduate degrees in Business Management, Accounting and Finance, Software Engineering, and Computer Science. The Institute is now expanding to offer postgraduate programmes, including this new MSc in Big Data and AI. As a member of our faculty, you will join a collaborative and supportive academic community committed to fostering student success and advancing cross-cultural education. About the City Chengdu, the capital of Sichuan Province, is one of China's most dynamic and liveable cities. The university is conveniently located in the city area, with easy access to Metro Lines 7 and 8, allowing for effortless travel across the city. Known for its rich history, vibrant culinary scene, and relaxed lifestyle, Chengdu offers an exceptional quality of life. With its modern infrastructure, growing expatriate community, and relatively low cost of living compared to other major Chinese cities, Chengdu provides an ideal setting for international academics. How to Apply Interested candidates are invited to submit their application materials to careers-pg@zy.cdut.edu.cn Please submit the following: A detailed CV outlining your academic qualifications, teaching experience, research profile, and relevant professional experience. A cover letter (max. one page) explaining your teaching philosophy, preferred module(s) and how your skills and experience align with the selection criteria. Application Deadline: May 22nd, 2026 Shortlisted candidates will be asked to complete our internal job application form and will receive further details on salary and benefits. For inquiries about the position, please contact Waseem Abbasi at waseem@zy.cdut.edu.cn Due to the large number of applications, only shortlisted candidates will be contacted. We prefer to hire staff members who intend to stay for several years. The partnership is an equal opportunities employer, but successful candidates must be able to meet the requirements to obtain a Chinese work permit. We look forward to receiving your application and welcoming you to our team in Chengdu.