University of Arizona

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 3,000 of them contribute to enabling excellent research and teaching through their expertise and work in administration and organisation. They know how they can work best. Flexible, remote and with as much freedom as they need to develop their potential. You know, too? We are seeking a/an Technician 47 Faculty of Psychology Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §54 VwGr. IIIb Limited until: 31.10.2026 Reference no.: 5513 The Faculty of Psychology is seeking to fill the position of a technician to oversee the transition of several research positions from the Vienna Cognitive Science Hub to the faculty. This cross-faculty and cross- departmental role is assigned to the Department of Cognition, Emotion, and Methods in Psychology. The advertised position is for 40 hours per week and is limited to 6 months. Your personal sphere of influence: The members of the Faculty of Psychology engage in research and teaching focused on describing and explaining human experience and behavior, as well as changes therein. Based on integrative and complementary research approaches from neuroscience, cognitive science, and the social sciences, the goal is to make theoretically grounded and empirically testable contributions to scientific knowledge and its transfer. The Department of Cognition, Emotion, and Methods in Psychology consists of approximately 100 staff members organized into eight research units with laboratories equipped with EEG, fNIRS, VR, eye-tracking, physiology, and brain stimulation systems. Our international team places great value on respectful interaction and independent work. Your future tasks: Supporting the transition of researchers from the Vienna Cognitive Science Hub to the Faculty of Psychology as a replacement for the previous technical support provided by a data scientist. Transfer of collected scientific data, data backup/cloud-based infrastructure for collected data and study-related products. Assisting with the organization and post-processing of collected raw data for use in ongoing projects within the context of the Study Participant Platform (SPP). In particular, advanced statistical analysis methods (latent profile analysis, network analysis) and statistical software packages will be utilized. Administrative support for managing specialized software and transferring/developing analyses to open-source software. Support in presenting research on the Vienna CogSci Hub’s Transition website. This is part of your personality: General or vocational secondary school (upper level) Programming skills: R, SPSS required; MatLab, MPlus, etc. are a plus Excellent written and spoken English Excellent communication skills and strong verbal and written expression Knowledge of latent profile analysis and network analysis is a plus Knowledge of eye-tracking and fNIRS is a plus Knowledge of project management and field studies is a plus Research experience in experimental/empirical methods is a plus You should be a team player What we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are part of a committed team with diverse university backgrounds in a relaxed work environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: Salary will be paid in accordance with the Collective Bargaining Agreement of the University of Vienna. The basic salary of EUR 3,131.30 (III b) based on full-time employment, paid 14 times per year, increases based on professional experience. The advertised position is for 40 hours per week and is limited to 6 months.  Equal opportunities for all: We welcome every additional/new personality to the team! It’s that easy to apply: With your CV & letter of motivation (max. 2 pages) Certificates Via our job portal / apply button If you have any content questions, please contact: Matthew Pelowski matthew.pelowski@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: 04/10/2026 Laboratory & Technology

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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. 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.

Join a well-established discipline with a long history of world-class research outcomes in Astrophysics Use your passion for teaching to deliver courses across the Physics discipline Competitive salary, flexible working, 17% super and so much more… Salary: $117,226 – $139,207 plus 17% superannuation plus annual leave loading Position: Full-time, Fixed-term until June 2030 Location: Callaghan Campus About the Role This role offers the opportunity to contribute meaningfully to the University of Newcastle’s mission of delivering excellence in education, research, and professional service. Working within the School of Science in the discipline of Physics, you will play a vital part in delivering high-quality outcomes that support students, staff, and the broader community. The Lecturer in Physics (Astrophysics) will contribute to the delivery of physics courses across a range of programmes, supporting high-quality teaching, curriculum development, and student engagement. In parallel, the successful candidate will undertake an active research programme that complements existing expertise in Astrophysics, contributing to a collaborative and internationally engaged research environment. You will be joining a community of professionals who are passionate about creating a better future for our regions and the world. You will be supported by a dynamic and inclusive workplace culture that encourages growth, innovation, and meaningful impact. About you You are dedicated and forward-thinking with a strong research track record in Astrophysics and an ability to develop and deliver undergraduate courses across a broad range of core physics topics. You thrive in collaborative settings and are committed to fostering an inclusive and equitable learning and research environment. You value diverse perspectives and actively contribute to a culture that supports mutual respect, innovation, and continuous improvement. You are eager to work alongside talented colleagues who are passionate about making a meaningful impact through education, research, and community engagement. To be successful in this role, you will have: A PhD in Physics, Astrophysics or equivalent relevant field. Demonstrated research excellence and clear capacity to develop as an effective teacher and contributor to service and engagement. Strong research track record (relative to opportunity) in an area relevant to Astrophysics that complements the existing expertise of exoplanet science, solar and stellar physics. Demonstrated ability to lead/undertake collaborative research (academic and industry). Demonstrated capacity to develop and deliver courses in Physics (including first year courses) in a variety of teaching modes. Demonstrated experience in aligning personal and organisational research strategies, and producing research outputs. Highly developed interpersonal skills including the ability to participate in a team environment demonstrating clear communication and mutual respect. Knowledge of, and experience in adhering to workplace policies and procedures in the areas of work health safety, equity, diversity and promoting a respectful workplace culture. For the full list of essential and desirable selection criteria, please review the Position Description. About Us The School of Science accommodates the disciplines of Physics, Chemistry, Biology, Psychology, Earth Sciences, Environmental Science and Management, Food Science and Human Nutrition, Geography and Environmental Studies. The School aims to provide a transformative, modern and relevant learning experience where students acquire practical skills, leading to work and life-ready graduates. Research at the School is of a quality that is ‘well above world standard’ and is relevant, collaborative, interdisciplinary and impactful. The Discipline of Physics is a well-established and highly collegial academic unit with a long history of delivering world-class research outcomes, excellence in Physics teaching and nationally recognised programmes of community outreach and service. The Discipline of Physics has a focus on disciplinary and transdisciplinary research that encompasses scholarship and industrial engagement; working at the boundaries between disciplines and industry to deliver global solutions to global issues Our university The University of Newcastle stands as a global leader with a reputation for excellence in education and research. Ranking in the top 1% of global universities and among the top 40 for impact, our vision is to be a world-leading University for our regions and create a better future for our regions and the globe. Underpinned by this vision and our values of excellence, equity, engagement and sustainability, outlines the University’s commitment to delivering an exceptional student experience and serving our communities. Looking Ahead 2030 (outlines the University’s commitment to delivering an exceptional student experience and serving our communities. We are proud to be one of the first two Universities in Australia to achieve SAGE Athena Swan Silver Accreditation for gender equity, diversity, and inclusion (GEDI). We acknowledge the traditional custodians of the lands within our footprint areas and extend respect to Elders past and present. We are committed to strengthening Indigenous higher education and supporting Indigenous students and communities. For more information click here – The University of Newcastle What we offer The university offers a comprehensive and inclusive benefits package designed to support employee wellbeing, career development, and work-life balance for all staff, including: Flexible working arrangements  17% superannuation, access to salary packaging options and annual leave loading Generous leave entitlements Wellbeing and support programs  Career development opportunities Great Lifestyle – Enjoy the best of coastal living in Newcastle, with stunning natural beauty, a thriving cultural scene, and easy connectivity to Sydney and other major cities. Visit the City of Newcastle site to imagine your future in Newcastle. For further information on our benefits and perks, please visit our website. How to Apply If viewing this on a job board other than the University's please click ‘Apply’ to be redirected to our website, where you can review the full Position Description and submit your application. Your application must include: Your ORCID ID. A URL link to your University Academic Profile (or equivalent). A Cover Letter and Statement (uploaded as a single PDF): Cover Letter (max. 1 page) outlining your interest in the role and providing details of 3 referees. Statement (max. 4 pages) addressing the Essential and Desirable Criteria, as listed in the position description.  Your CV (max. 5 pages) tailored to your discipline. Please note, visa sponsorship will not be provided for this position. Please visit here for a guide on how to apply for a role. It’s important you read this information to ensure you are providing all the requirements of your application. For specific position enquiries, please contact Professor David Pontin, Head of Discipline, School of Science david.pontin@newcastle.edu.au or on 0240553261. Reasonable Adjustments If you require any adjustments to the recruitment process to support your application, please let us know. This information will help us understand how best to support you and ensure an equitable and inclusive recruitment process. Please be assured that anything you share will be treated respectfully and appropriately. Our goal is to provide the best environment for every candidate to demonstrate their suitable skills and experience. Please reach out to employment@newcastle.edu.au if you are experiencing any difficulties or would like to discuss reasonable adjustments. Application close date: Thursday, 30th April 2026 at 11.59pm AEST We are excited to be Looking Ahead with you! The University of Newcastle is an equal opportunity employer committed to equity, diversity and social inclusion. Women and Aboriginal and Torres Strait Islander candidates are particularly encouraged to apply. The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Birpai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.