SDU University

Department: School of Business Vacancy ID: 040184 Closing Date: 06-Apr-2026 Maynooth University seeks an outstanding academic to join our staff as Professor (B) in Health Design. This is an opportunity for you to shape our research, teaching and impact in the field of Health Design. You will be embedded in a large community of design and business academics, and our growing field of Health and Wellbeing across the University. This role fits into a strategy of sustained investment and growth in capacity in both Design Innovation and the School of Business, resulting in growth in education programmes, research grants, research impact and multiple awards by students (e.g. Dyson Innovation awards) and staff for their work. This is one of three new Health and Wellbeing Professorships in the Faculty of Social Sciences, as part of our commitment to deepen capacity and impact in this field. The University is making a strategic investment in the field of Health and Wellbeing, involving creation of new education programmes, and widening our research impact in this field. Together, the Health and Wellbeing Professors will collaborate across Departments, Schools and the wider University to strengthen interdisciplinary research, education and engagement, and to maximise collective societal impact in this area. Salary: Professor B Salary scale (2025): €105,554 - €141,089 p.a. (6 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Monday 6th of April 2026 Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Classification:  Academic Level A  Salary package: $89,313 - $112,103 per annum plus 17% superannuation   Terms: 2 x Full time, Continuing (contingent funded) This position is continuing (contingent funded). The funding that supports this project has an expected end date of 30 June 2028.  Position Description and Selection Criteria:PD&PEWER_Academic Level A_Postdoctoral Fellow.pdf Working at ANU This is an opportunity for two Postdoctoral Fellows to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence. We offer: Flexible working arrangements including hybrid arrangements working both on our beautiful, green campus and working remotely, Generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements, Designated parent rooms, quiet spaces and childcare facilities on campus, Career support, training, mentoring & upskilling opportunities. For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here. To see what the Science at ANU community is like, we invite you to follow us on social media at Instagram and Facebook. A Diverse and Inclusive Team ANU is introducing measures to support the recruitment, inclusion and retention of employees with disability. To find out more, please click here. ANU is a large, diverse employer with staff working across numerous professions (see the full list of available roles here. We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all backgrounds and identities and from individuals who may have had a non-linear career path, career gaps or career breaks. The Position Applications are sought for two Postdoctoral Fellows in the Research School of Earth Sciences (RSES) in the area of seismology. Professor Meghan Miller’s position will be undertaking research for the observational seismology program at RSES with a focus on data acquisition for Earth Imaging. Candidates who have previous experience with numerical seismology, data processing, computer programming, and fieldwork are encouraged to apply. The position working with Dr Caroline Eakin will focus on research in observational seismology, with the aim to investigate seismic anisotropy beneath the WA-Array, a new continental scale array covering Western Australia. Candidates with relevant experience in observational seismology are encouraged to apply. Successful candidates will be members of the Geophysics Department based at RSES. RSES is Australia’s leading academic research institution for Earth and Marine Sciences, and ranked 11th in the world for Earth and Marine Sciences (QS World University Rankings by Subject 2023). To find out more about the RSES community, check out our Twitter and Instagram. We have a reputation for international leadership and innovation, focused on developing new methods, whether experimental, analytical or computational. Our research spans the range from solid earth evolution to climate processes, and from 21st century resources to climate change impact. We operate iconic and state-of-the art instrumentation supported by highly trained professional staff, offering an unrivalled world-class research environment. Our cutting-edge research provides an unparalleled environment for high-quality research training of our graduate students. Our people and facilities are also the foundation for our vision to deliver world-class research-led undergraduate teaching in the Earth Sciences. We are committed to offering a nurturing environment for the School’s early career researchers. Our culture is one of inclusivity and respect and we encourage everyone to embrace these values as expressed in our culture statement. The Person We are looking for two early career researchers with a PhD (or awarding of a PhD within six months of appointment) in the field of seismology, computational geophysics, tectonophysics or a related area, and have the ability to articulate and prosecute innovate research. Your ability to lead by example, coupled with excellent communication and interpersonal skills, will enable you to foster respectful and productive working relationships with staff, students and colleagues at all levels within RSES in line with the RSES Culture Statement. Learn more about the ground-breaking research and work class facilities of the Research School of Earth Sciences here. For further information, please contact Professor Meghan Miller on T: +61 2 6125 3073 or E: Meghan.Miller@anu.edu.au or Dr Caroline Eakin on T: +61 2  6197 0083 or E: Caroline.Eakin@anu.edu.au for their respective positions. The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion  To Apply To be considered for this position, please upload the following documents: A current curriculum vitae (CV), and A summary addressing your suitability against the selection criteria and that is no more than two pages in length. Please state which position (or both) you are applying for. The committee will consider candidates that do not meet one or more aspects of the selection criteria. If you require adjustments to participate in any of the above assessments, please contact our HR team at E: hr.cos@anu.edu.au. Any adjustment request or the disclosure of disability will not be communicated to the selection committee without the candidates consent and it will not having any bearing on hiring decisions. For examples of common reasonable adjustments please click here. Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Wednesday, 25 March 2026, 11.55pm (AEDT)

We invite applications for a fully funded doctoral researcher working in the REINFORCE project at the Department of Computer Science, University of Helsinki.  REINFORCE project (Automatic Detection and Correction of Industrial Design Flaws – Towards Fail-Safe Industries) is a Business Finland funded research project with the objective to develop a new type of computer-aided design platform that supports engineers in design, manufacturing, robotics and cybersecurity among research collaboration of University of Helsinki, Tampere University, and University of Jyväskylä. For this position, your work will focus on exploring generative AI and building agent system to support the design process. You will work with Professor Sasu Tarkoma and Dr. Xiaoli Liu. Requirements A master's degree in computer science or a related topic Knowledge of generative AI and familiar or having experience with building agent system Motivation to research generative AI and agent system for manufacture design Solid programming skills in python Proven software engineering skills  Excellent written and verbal communication skills in English and able to work collaboratively In addition, according to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes. We offer The opportunity to do GenAI and Agent System research  A world class academic community that promotes diversity, international engagement and equality. We encourage all qualified applicants from diverse backgrounds to apply for our positions. An initial two-year fixed-term contract, with the possibility of a two-year extension, subject to a successful first-phase evaluation of the REINFORCE project and the subsequent funding of REINFORCE project’s second phase. A starting salary is about 2700 euros/month. The salary will develop in accordance with the progress of the studies.  Comprehensive services to its employees, such as occupational health care and health insurance.  Support for internationally recruited employees with their transition to work and live in Finland A chance to live in Helsinki and Finland renowned for their high-quality of life, services, and work-life balance A trial period of 6 months will be applied, and the salaries will be based on the University salary scheme for teaching and research personnel composed of both task specific and personal performance components.  Application instructions Applications shall be submitted through the University of Helsinki´s recruitment system and include the following documents: A motivation letter (max 2 pages) Curriculum vitae (CV) including link to a Google Scholar profile if having Transcripts from previous degrees  Contact information of two referees External applicants, please submit your application via the Apply Now button. Internal applicants, who have a helsinki.fi username and a valid employment/grant/visitor contract, please submit your application via the Employee login button. The deadline for the applications is 15th of March 2026, but the position will be filled immediately once a suitable candidate has been identified.  Additional information For more information on the position, please contact Dr. Xiaoli Liu (xiaoli.liu@helsinki.fi) and Prof. Sasu Tarkoma (sasu.tarkoma@helsinki.fi). With technical questions related to the recruitment system, please contact recruitment@helsinki.fi. *** The Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate.