University of Bucharest

Department: National Centre for Inclusive Higher Edu Vacancy ID: 041343 Closing Date: 24-May-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an administrator to come and join the STEM Passport for Inclusion team. The post holder will play a key role in providing professional support to the expansion of STEM Passport for Inclusion to Northern Ireland in collaboration with Queen’s University Belfast.This involves working in partnership with the STEM Passport for Inclusion team at Maynooth University and Queen’s University Belfast as well as local schools and students and will require a high degree of professionalism and stakeholder management. This role will provide administrative support to the programme manager’s day-to-day running of the STEM Passport for Inclusion as well as planning events related to the programme. Salary: €46,918 (pro rata) (1 point) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 24th of May 2026. Please note all applications must be made via our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies 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

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.

Classification: Academic Level B  Salary package: $121,598 - $137,870 per annum plus 17% superannuation Terms: Full time, Continuing  Position Description and Selection Criteria:  PD_PEWER_Academic Level B Lecturer in Marketing.pdf Position overview  The Research School of Management in the ANU College of Business and Economics aims to create and share management knowledge that makes a difference to organisations and society. Eight academics with affiliations to our School are listed among the 2025 Standford/Elsevier Top 2% Scientists. To continue the current growth trajectory, we are seeking to recruit a Lecturer (Level B) in the field of Marketing. The successful applicant will conduct research of international standing and actively contribute to undergraduate and postgraduate teaching in the School. They will have a strong work ethic, a practical approach, and be passionate about the quality of their work. The successful applicant will join a strong team of academics who publish in top international journals, hold external competitive grants, and receive recognitions for their sustained pursuit of educational excellence. The School and College provide an excellent research environment, including favourable teaching load and internal research support. Based in Canberra, the position is open to international applicants. The successful applicant will be offered relocation assistance to Canberra. We have a strong equal opportunity culture. We encourage all applicants particularly, female, Aboriginal or Torres Strait Islander applicants. College overview The Australian National University (ANU) is one of the world’s great universities, ranking 32nd in the 2026 QS World University Rankings. The Research School of Management sits within the ANU College of Business and Economics. The College educates the next generation of business leaders, professional economists and academics. Our graduates have the knowledge and skills to lead organisations, design public policy, and research the big issues of business and economy. Located in the national capital, we engage deeply with the business and policy communities. Our academics lead public debate on the critical issues of our time through their research, which is both long term and strategic in focus. Our internationally diverse student body is evenly divided between undergraduate and postgraduate study, and we have a large doctoral program. Our alumni are found in the world's leading companies, policy agencies and universities. We strongly believe that the way in which we operate is defined by our Values and Behaviours and encourage you to apply if you are looking for a workplace that encourages respect, collegiality and excellence. For more information about the position please contact Professor Vinh Lu at: director.rsm@anu.edu.au 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 believes employment opportunities must not be limited by socio-economic background, race, religion or gender. For more information about staff equity at ANU, visit https://services.anu.edu.au/business-units/human-resources-division/equity-and-diversity  Application information In order to apply for this role please make sure that you upload the following documents:  A statement (3 pages max) addressing each of 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 provide these online when prompted in the application form. Applications that do not address the selection criteria may not be considered for the position.  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: Monday, 8 June 2026, 11:55pm (AEST)