Mohammed V University of Rabat

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 for Register Data Lab NexusSoSci 49 Faculty of Social Sciences Startdate: 01.07.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5781 The new Core Facility NexusSoSci is being established at the Faculty of Social Sciences. NexusSoSci provides the infrastructural and technical foundations for a central service and competence center for social science research. It brings together qualitative and quantitative methodological expertise in data collection, data preparation, and data analysis. Senior scientists and the coordinator play a key role in developing the digital, material, and spatial infrastructures that supports research projects, training, and networking activities. The positions will initially be based at the Dean’s Office of the Faculty of Social Sciences and may be transferred to a subunit following a positive evaluation. We intend to fill the position of Senior Scientist for the Register Data Lab from 01 July 2026 onwards, but latest by 15 October 2026. Your personal sphere of play: The Register Data Lab within NexusSoSci, creates the infrastructural, methodological and technical foundations for the use of Austrian register data in social science research. Its aim is to build a central scientific service and competence centre for register-based social research. The Senior Scientist will make a substantial contribution to this objective through (1) the development of standardised data modules, (2) scientific consulting in the planning of research projects, and (3) training and networking activities. Your future tasks: Acting as a central point of contact for questions concerning the use of Austrian register data, particularly in relation to AMDC data, their scientific use and linkage Providing expert advice to researchers in the planning of register-data-based research projects Conducting preliminary assessments of the feasibility of specific projects, particularly with regard to data availability and linkage potential, including the linkage of survey and register data, as well as clarifying data protection issues Developing standardized modules for the preparation of AMDC data based on raw data, and continuously further developing these modules, i.e. providing, maintaining and documenting Python and R code for further use in AMDC projects, using modern data science methods and machine learning approaches Documenting data preparation processes, modules and workflows in a transparent and reusable manner Creating synthetic datasets for consulting and training purposes Designing and organizing training courses, tutorials and workshops for researchers at the University of Vienna Contributing to the strategic development of the Register Data Lab through needs assessments, national and international networking, and exchange with relevant partner institutions Teaching in the field of social science methods in accordance with the collective bargaining agreement This is part of your personality: Completed doctoral or PhD degree in a relevant discipline, particularly in the social sciences, statistics, data science or a related field Demonstrated expertise in social science research based on large and complex datasets, in particular register data Sound knowledge of Austrian register data and their linkage potential Excellent programming skills in Python, and very good knowledge of R and Stata Excellent knowledge of quantitative methods in empirical social research, including panel data analysis and spatial analysis Knowledge of machine learning Knowledge of the creation of synthetic datasets Experience in project management and third-party funding acquisition Ability to communicate complex methodological and technical topics clearly to diverse audiences Strong cooperation and communication skills, with an interest in building scientific infrastructure Excellent teamwork and organizational skills Independent, structured, and responsible work style What we offer: We offer you the opportunity to participate in an inspiring research environment that brings together notable experts in the field (networking) You can make a meaningful contribution in a socially relevant area ("pioneering work") You will work in a team of dedicated colleagues at one of the world's most renowned universities, which is also family-friendly Your salary is 5,014.30 euros (full-time basis; gross) and increases if we can credit professional experience.  It is that easy to apply: Letter of motivation (1 A4 page) Curriculum vitae including publication list, information on courses held and any third-party funding raised Contact details for 2 references Notification of completed doctoral studies Via our job prtal/ Apply now - button If you have any questions, please contact: Nadia Steiber nadia.steiber@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: 06/22/2026  (Senior) Lecturer & Researcher

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Delft3D and SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics. Building up of a database of sea level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. Research: Conduct research to enhance wave modelling techniques and contribute to the advancement of coastal engineering and oceanography. Impact Assessment: Evaluating the potential impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, and oceanographers. Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any adhoc duties assigned. Requirements PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave modeling software, particularly Delft3D and SWAN. Strong analytical and problem-solving skills. Research experience in coastal and ocean waves is preferred. Excellent communication (verbal and written) and teamwork abilities Proficiency in machine learning will be an advantage Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

Prepare future animal health care professionals to serve our communities Contribute to research advancements in veterinary technology or veterinary science Opportunity to engage with the industry stakeholders The role Fixed Term (Up to 12 months) - Parental Leave cover Job Share arrangements negotiable Level A - $80,046 to $108,204 pa (plus 17% superannuation) Wagga Wagga We are currently seeking applications from registered veterinarians or graduates in veterinary technology or veterinary nursing, with relevant postgraduate qualifications or equivalent experience and relevant veterinary clinical experience to undertake teaching and engage in academic research activities. The successful candidate will focus on delivering teaching excellence in a number of areas focusing on clinical pathology and diagnostic imaging and contributing to teaching on best practice in low stress animal handling, best practice for internal medicine, surgery and anaesthesia, emergency and critical care. About you A degree in Veterinary Science plus relevant postgraduate or equivalent experience, accreditation and standing, including eligibility for registration with the Veterinary Practitioners Board of NSW OR a qualification in undergraduate veterinary technology/veterinary nursing plus relevant postgraduate qualifications AND a minimum of five (5) years professional experience in a veterinary clinic. Commitment to delivering high-quality student-centred learning and teaching Highly developed communication skills and the ability to build networks and partnerships within the veterinary industries to achieve outcomes About Us We are a university of the land and people of our regions. True to the character of regional Australia we have gumption, we have soul and we collaborate with others. We develop holistic, far-sighted people who help their communities grow and flourish. The Wiradjuri phrase yindyamarra winhanganha means the wisdom of respectfully knowing how to live well in a world worth living in. This phrase represents who we are at Charles Sturt University - our ethos. It comes from traditional Indigenous Australian knowledge, but it also speaks to the mission of universities - to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. Learn more about the Faculty of Science and Health here. Learn more about the School of Agricultural, Environmental and Veterinary Sciences here. Visit our website to learn about our great range of employee benefits. Charles Sturt University is committed to building a diverse workforce as shown through our Athena Swan Bronze Award, our Australian Workplace Equality Index Bronze Award and our membership of a range of diversity focused organisations including Diversity Council Australia and Pride in Diversity. We encourage applications from First Nations people, carers, people from culturally and linguistically diverse backgrounds, people with disability, neurodivergent people, and people of all age groups, genders and sexualities for all roles. To apply Click the Apply button and complete your application online, submit a "statement of suitability" demonstrating your skills, knowledge and/or experience relevant to the position (referencing the selection criteria in the position description) and upload your CV. If you experience difficulties applying online or for further information on completing the application process please visit our how to apply page or contact us. This position is open to Australian Citizens and Permanent Residents; or applicants who hold a current valid work visa commensurate with this position. Further information Additional information is available in the position description or by contacting: Dr Esther Callcott | Senior Lecturer in Veterinary Technology | ecallcott@csu.edu.au For enquiries related to job application portal / general application, please email jobs@csu.edu.au Closing Date: 11pm, 6 July 2026