Tatung 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 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 2026-03-16T00:00:00Z | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5042 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 professional field of activity: The selected candidate will be part of the 'Evolutionary Morphology Research Group' (EvoMorRG; Chair Palaeobiology with Special Emphasis on Vertebrate Palaeontology). The 'Evolutionary Morphology Research Group' at the Department of Palaeontology is an interdisciplinary research team working at the interface between palaeobiology and evolutionary developmental biology of vertebrates for better understanding the evolutionary history of vertebrates (see also www.evomorg.org). The members of the 'EvoMoRG' are dedicated to the scientific research of vertebrates of past geological periods and today, and their evolutionary and developmental history through time. Our team currently consists of the head of 'EvoMoRG', a lab manager, three postdocs, five Doctoral, 13 Master, and five Bachelor students. As a university assistant predoctoral (Doctoral student), you conduct a research project that complements research in our group and that ultimately will lead to a PhD degree. The primary objective of our research is to increase our understanding of the development and evolution of morphological traits of gnathostomes within a phylogenetic context. As scientists and individuals, we believe that diversity and inclusion are integral parts of our science and society in general, regardless of age, culture, ethnicity, gender identity or expression, national origin, physical or mental difference, politics, race, religion, sex, sexual orientation, socio-economic status, or subculture. We therefore promote diversity in all areas of our activities and reject strongly and proactively prejudice and stereotyping wherever we encounter it in our profession. For us, empathy, compassion, respect, decency, and humanity are guiding principles. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in projects and scientific studies in the research areas of the 'EvoMorRG'. We expect you to finalize your dissertation agreement within 12-18 months. You work on your cumulative dissertation and its completion within three years. You are assisting in laboratory organization and maintenance, especially of our aquarium infrastructure, where we keep various cartilaginous and bony fishes. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching. You are willing to engage in international and (depending on the project) interdisciplinary or applied research. You are willing to attend national and international conferences to present your research results, and workshops to gain additional scoial and professional skills. This is part of your personality: Diploma or master degree in organismal Biology or Geology/Palaeontology completed; certificate / degree provided in due time before the start of the contract. Good knowledge in the areas of zoology, vertebrate paleobiology and evolution. Mandatory are analytical skills in phylogenetic methods, R Cran, and geometric morphometrics. Desirable but not strictly required are knowledge and application of Amira and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very good English skills. High motivation to strive for scientific excellence and to publish research results of high quality. You are a team player with high social and communicative competence. You are able to work independently. You have at least basic experience in academic writing. You are keen to participate in conferences and research trips. What we offer: Working environment: You will be part of a dynamic and interdisciplinary, international team with excellent research infrastructure in a relaxed working environment. We are cooperative and team oriented. Supervision: You will receive intensive academic and personal mentoring by the members of the team to guarantee the successful completion of your doctoral project. Work-life balance: Balancing work and private life or work and studies is particularly important to us. You therefore can arrange your working hours to be flexible and family-friendly within the framework of the currently applicable university agreements, and you can also work from home within Austria part of the time upon agreement. Benefits: The University of Vienna offers numerous benefits such as a company pension fund, travel allowances, affordable parking, special rates for language courses at the university language center, women's advancement, diversity management and specific career advancement, inclusion, parental leave, flexible childcare, holiday childcare, health care, vaccination campaigns, and fitness offers (special rates for USI sports courses), as well as discounts and rebates for employees at various companies. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Good public transport connections: Your workplace is easily accessible by public transport. Fixed-term contract and adequate salary: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationships is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a non-extension letter. The basic salary corresponds to the collective agreement for employees of the universities according to § 48 VwGr. B1 basic level (praedoc): EUR 3.776,10 on a full-time basis (14x per year). Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: with a letter of motivation with a three-page exposé for a planned research project, ultimately leading to a PhD with an updated CV with a letter of recommendation and name and contact information (e-mail + telephone) of at least one additional referee Via our job portal or 'Apply now' - button Please provide all application documents exclusively in English. Applicants will not be entitled to any refund of expanses incurred because of the applicant process. If you have any questions, please contact: Jürgen Kriwet juergen.kriwet@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: 03/10/2026 Prae Doc https://vds-ecology-evolution.univie.ac.at/  

Are you a recent postgraduate ready to go wild and stand head and shoulders above the crowd, using advanced AI and computer vision to shape the future of animal welfare? The University of Surrey, in collaboration with Marwell Wildlife - a leading conservation charity and the owner-operator of Marwell Zoo - is recruiting a forward-thinking AI and Computer Vision Associate to lead a transformative Knowledge Transfer Partnership (KTP) Project.  This pioneering project will develop an AI-powered nocturnal behaviour observation system, transforming how animal welfare is monitored and understood. By uncovering night-time behavioural changes, you will help enable earlier detection and proactive prevention of health and welfare issues before these become serious. This cutting-edge work will help redefine how animal health and wellbeing are protected and improved.  This growing partnership between the University and Marwell Wildlife aims to connect people with nature, lead the charge in caring for the natural world, and support a thriving future for wildlife. The Role Based at Marwell Zoo (near Winchester, Hampshire), you will lead the design and delivery of an end-to-end, 24/7 animal welfare monitoring system. Your work will advance welfare science and support innovative, data-driven revenue streams that support Marwell’s long-term sustainability. You will work at the intersection of: Artificial Intelligence & Computer Vision Animal Behaviour & Welfare Science Data Analytics, Visualisation & Business Insight You will be embedded within Marwell’s Animal Science team and supported by University of Surrey academics: Professor Kevin Wells, Professor of AI in Human and Veterinary Healthcare.  Dr Marco Volino, Lecturer in Computer Vision and Graphics. KTPs offer a unique springboard for your career, combining academic rigour, industry experience, and leadership responsibility to support your development as a future leader in this field.  About You You are ambitious, curious, and impact-driven, with an interest in animal welfare, animal behaviour, or conservation. You will hold a postgraduate degree in AI, Data Science, Computer Vision or a closely related discipline with strong technical component, or equivalent industrial experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data into actionable insights. Programming: strong skills in languages such as Python and C#. Applied data science: solving real-world challenges using Machine Learning and Artificial Intelligence techniques. Business Intelligence and Data Visualisation: using tools like Power BI, SQL (ideally PostGIS), and cloud-based databases.  Documentation and communication: clearly documenting processes, data models, and reporting structures. Project management and business acumen: mapping business processes, presenting insights, and translating technical concepts for diverse audiences.  You thrive in collaborative environments, are keen to learn new technologies and are motivated by driving innovation through AI and data-driven solutions. This 36-month fixed-term KTP Associate role offers: Hands-on, industry-based experience leading a high-impact AI project in a live conservation-focused setting, working closely with animal science experts Mentorship from leading academics, industry experts, and a dedicated KTP support team. A Generous personal development budget and dedicated time for training and development. Potential for a permanent role at Marwell Wildlife upon successful completion of the KTP (subject to performance and business needs). This is a rare opportunity to build a cutting-edge technology solution from the ground up while directly contributing to animal welfare and the future resilience of conservation-focused organisations. How to Apply Please submit your CV and cover letter on the University website. Informal enquiries are welcomed and can be directed to Dan Bance at: ilovektp@surrey.ac.uk. Please note applications sent directly to this email address cannot be accepted. As part of the Knowledge Transfer Partnership (KTP) Programme, your application will be reviewed by representatives from both the University of Surrey and the host organisation, the Business Partner. By submitting your application, you consent to your personal details being shared with the business partner and the funder for the purposes of recruitment and project delivery. Please note that we reserve the right to close this vacancy ahead of the advertised deadline if we receive a high volume of strong applications. Further details Job Description

Organisation: Cranfield University Faculty or Department: People and Culture Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type: Fixed term contract Fixed Term Period: For 18 months Salary: Full time starting salary is normally in the range of £61,000 to £70,548 per annum, with potential progression up to £86,275 per annum Apply by: 08/03/2026 Role Description We are inviting applications from innovative and experienced HR specialists to join our People & Culture senior leadership team on a fixed-term basis. This is a pivotal role in shaping the future of our reward strategy, optimising HR systems and processes, and driving data-led decision-making across the University. About the Role Reporting to the Director of People and Culture Operations, you will lead on reviewing and revising our existing pay framework, provide expert support to the Remuneration Committee, and champion the effective use of technology and analytics within the People & Culture function. You will also play a key role in delivering tangible continuous improvement initiatives, including the enhancement of existing systems and processes and upskilling the team in the use of AI and management information to enhance efficiency and insight. About You You will have significant experience in developing reward strategy, pay framework design, HR systems and MI reporting. Already operating at management level, you will have proven experience of working effectively with colleagues at all levels, quickly identifying priorities, and establishing trusted relationships in order to deliver required changes. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. Working Arrangements Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners. How to apply For an informal, confidential conversation about this opportunity, please contact Helen Perkins, Director of People & Culture, on (E): helen.perkins@cranfield.ac.uk Closing date for receipt of applications: 8 March 2026 Please note that we reserve the right to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.