University of Balamand

Classification: Academic Level B Salary package: $121.598 - $137,870 per annum (pro rata) plus 17% superannuation  Term: Part-time, Continuing, Multiple Positions (0.1-0.2 FTE) The filling of these positions is intended to constitute a special measure and are aimed at increasing employment opportunities for Aboriginal and/or Torres Strait Islander persons in line with the strategies in the ANU Enterprise Agreement. Position Description and Selection Criteria: PDPEWER_Level B_Clinician Educator - Indigenous.pdf The Positions The Indigenous Clinician Educators will play an important role supporting the medical program to achieve its objectives in regard to indigenous health including the recruitment and retention of indigenous students, the embedding of indigenous health in the curriculum and ensuring we graduate culturally safe and informed doctors. The School The School of Medicine and Psychology (SMP) was established in 2023 to bring together expertise from Medicine and Psychology to develop a unique educational and research environment. The focus is to produce psychologists, researchers, and medical graduates who practice compassion, conscience and professional excellence, and with a knowledge of Aboriginal and Torres Strait Islander health and culture. The school partners with a number of healthcare organisations to deliver teaching and training including but not limited to ACT Health, community practices throughout the ACT and Southeastern NSW. The College The ANU College of Science and Medicine encompasses the disciplines of: Astronomy, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. To find out more about the Science at ANU community, follow us on social media at Instagram and Facebook For further information please contact, Associate Professor Stewart Sutherland E: stewart.sutherland@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.06.2030 Reference no.: 5729 Your personal sphere of influence: The research group Data Mining and Machine Learning at the Faculty of Computer Science is looking for highly motivated research assistant, PhD candidate. We are offering an excellent working environment in a young, creative and international team. As a member of the Data Mining team, under the supervision of Assoz. Prof. Christian Böhm, you will contribute to fascinating data mining projects offering the possibility to take over responsibility at an early stage, to publish the results at leading international conferences and to exchange ideas with international and interdisciplinary cooperation partners. We provide intensive support during course of your dissertation. Your future tasks: You actively participate in research, teaching & administration, which means: Participation in research projects / research studies Participation in publications / academic articles / presentations We expect you to finalize your dissertation agreement within 12 months. You work on your dissertation and its completion. Participation in teaching and independent teaching of courses as defined by the collective agreement Supervision of student´s project´s and theses Involvement in the organization of meetings, conferences, symposiums Involvement in the department administration as well as in teaching and research administration The research should focus on clustering methods, especially deep clustering and representation learning for complex and high-dimensional data. This is part of your personality: Bachelor's and master's degree, both in Computer Science with excellent marks. Excellent command of English Very good mathematical understanding Very good programming skills, mastery of at least two of the following programming languages: Java, C++, C#, Python Strong ability to work in teams Perseverance and ability to make things done High motivation to publish at the top-level conferences Willingness to travel, including participation in national and international conferences Basic experience in academic writing and with research methods Didactic competences / experience with e-learning Desireable knowledge: You should be a team player with high social skills Experience in eye-tracking applications for the analysis of dyslexia. Experience with clustering, representation learning, deep learning. Experience with applications of data mining methods to real data from various domains. Experience in university teaching Experience in scientific writing International experience 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) increases if we can credit professional experience. Tenure: 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. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: Scientific curriculum vitae Letter of motivation including project ideas Abstract of Master's Thesis Master´s Degree / Diploma, Degree Certificates Transcript of records of BSc- and MSc studies List of publications, evidence of teaching experience (if available) If you have any content questions, please contact: Christian Böhm christian.boehm@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: 06/16/2026 Prae Doc

We seek high calibre highly motivated post-doctoral researchers to join our electronic textiles research program. The positions are funded by the EU (European Union) project: SoftIE – Materials for Sustainable Soft Technologies of Interconnected E-textiles, tackling a fundamental challenge; the lack of a robust connection and interconnects. You will be based in the School of Electronics and Computer Science (ECS) and be part of an EU project consortia developing new materials and processes to achieve sustainable interconnected e-textile systems. You will work in the Printed Electronics and Materials Laboratory and other facilities. Comprehensive training and support will be provided by experienced users, enabling you to develop the skills necessary for the role. Prior experience with the equipment is not essential. You will be invited to travel to project meetings and dissemination activities across the UK and EU. The role will also involve supporting junior research staff and contributing to the planning and delivery of group outreach activities. Reasonable adjustments will be made to support candidates for whom travel may present challenges. The roles will involve research on the following topics. Novel printed copper ink formulations and other conductive materials. Novel sustainable adhesive materials. E-Textile device manufacturing, focusing on improving durability and reliability.  Design and assembly of E-Textile demonstrators.  To be successful with your application, you will need to demonstrate:  A PhD in an appropriate area related to one or more of the roles described above. Excellent experimental research skills with a strong publication track record in high-quality international journals Excellent communication and organisational skills, and a proven ability to work well within multidisciplinary teams. And a willingness to: Help with the supervision of PhD students. Contribute to commercialisation of these technologies. Contribute to group and project outreach activities. Ranked in the top 1% of universities worldwide, we’re bold, progressive and keen to push the boundaries. We encourage and support our researchers to pursue their research and engage in other activities, such as teaching, public engagement and enterprise, to build a rounded portfolio of accomplishments. Your success is our success, and it is in our interest to foster your development and support you to become the next generation of research leaders in your field.  As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. Athena SWAN silver award recognised, we’re committed to improving equality for women in science and engineering, so we’ll help you find a good work-life balance with flexible or even part-time working hours, with a workload adjusted accordingly. ECS provides a unique, friendly and supportive environment. We have a range of staff development programmes and a unique mentoring and wellbeing scheme. Visit https://www.ecs.soton.ac.uk/workinghere to find out more about working in ECS.  The appointments are for an initial 1-year period with available funding for up to 3 years. Informal enquiries should be directed to Dr Russel Torah (rnt@ecs.soton.ac.uk) and Dr Jessica Pereira (H.J.Pereira@soton.ac.uk). Applications for Research Fellow positions will be considered from candidates who are nearing completion of a relevant PhD qualification.