University of Oradea

Classification: ANU Officer Grade 6 (Technical) Salary package: $98,387 - $102,887 per annum plus 17% superannuation Work Type: Full Time, Fixed term (9 months, maternity leave cover from 6th August 2026 - 5th May 2027). May be the opportunity for part time work after 9 months. Position Description and Selection Criteria: PD&PEWER_ANU06_Senior Technical Officer.pdf College Overview ANU has an international reputation for research and education relevant to the health and well-being of the population of Australia, as well as that of the developing world. This is achieved through discovery research, applied research in health service settings, research-led teaching in health and medical sciences, and the translation of research findings into practice and policy. The ANU College of Science and Medicine encompasses the disciplines of: Astronomy, Biology, Chemistry, Earth Sciences, Medicine and Psychology, Medical Research and Physics and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. Area Overview: The Biomolecular Resource Facility (BRF), located within the John Curtin School of Medical Research, is a service node of NCRIS Bioplatforms Australia (BPA) and provides consultancy and services using high-end technologies and equipment. These services include Next Generation High Throughput Sequencing (NGS), Sanger Sequencing, Genotyping, the ANU Bioinformatics Consultancy, the ANU Centre for Therapeutic Discovery and the National Therapeutic mRNA platform. We have a diverse client base including researchers from ANU, CSIRO and University of Canberra, with applications ranging from health to agriculture and environment. We seek to appoint a Senior Genomics Technician, to join our team. Position Overview: The Senior Technical Officer will work in the BRF Genotyping team. The appointee will work closely with other group members on an NGS amplicon genotyping service screening genetically modified mice and other amplicon and ecogenomics services for ANU, BPA and other external clients. They will be responsible for PCR and amplicon library preparation utilising high end liquid handling automation, data generation and handling. This position requires experience in molecular biology, and a high level of organisational skills, attention to detail as well as strong interpersonal skills with the ability to liaise with other team members, students and academics on a range of bioscience research topics. As a client-focused facility, effective communication skills and teamwork are essential, along with an interest in bioscience research. Additionally, these roles require a solid and demonstrated background in laboratory-based molecular biology skills and demonstrated organisational skills and commitment to meet deadlines. If you have a background or experience in these skills, we would welcome an application from you. The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant via: 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 Enquires for the position can be made to: Simone Kuelzer, Team Leader (Genotyping) T: +61 2 6125 1333 E: simone.kuelzer@anu.edu.au Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing 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 complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.  Closing Date: Sunday 14 June 2026, 11:55pm (AEST)

Description The Center for Interacting Urban Networks, New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate to support the project LANDMark on research on land economics, in any of the following areas: Measurement of land prices, with a focus on imputation techniques Land value determinants: public infrastructures (transport, health, and education services) Macroeconomic stability and instability in the presence of land as a fixed, non-produced asset Taxation of land wealth as an alternative to the consumption tax and the capital tax The political economy of land and its taxation Land, fixed resources, and political conflict The successful applicant will contribute to the research centered on any of these themes. The qualified candidate will have a Ph.D. in economics or another quantitative field with no more than five years from receipt of the degree, and an appetite for working on interdisciplinary teams. This position requires: Research experience in the mentioned areas of land (in a broad sense, including housing, macroeconomics, labor, urban, spatial economics, political economy, and conflict). Excellent communication skills in English. Ability to work in teams Applicants must submit a cover letter, curriculum vitae, a statement of research interests, and the contact information for 2-3 referees, who may be contacted during the selection process. The research statement should outline specific projects that the candidate would like to lead within CITIES, along with potential collaborators within the Center. If you have any questions, please email us at nyuad.cities@nyu.edu. Evaluations will begin immediately and continue until the role is filled. The earliest start date for this position is January 1st, 2027. About LANDMark (Land Assets, National Development and Markets) This project, developed by Etienne Wasmer, professor of Economics and program head in Economics at NYUAD, and funded for the next 6 years (2027-2032), brings together a group of researchers working on land all over the world. A team of 4 postdocs will constitute the project's core. Associations and collaborative research funding projects with researchers in Economics, Engineering, Computer Science, and Political Science are encouraged. The post-doctoral associate will be hosted in the Social Science Division, near the economics faculty, and can be affiliated with CITIES (infra). About The Center for Interacting Urban Networks (CITIES): The NYUAD’s Center for InTeractIng urban nEtworkS (CITIES – مدن) is an interdisciplinary research center dedicated to advancing urban science and promoting cutting-edge research that is translated into practical, real-world solutions for the benefit of society. Our mission is to establish a vibrant and globally recognized knowledge hub for urban networks, bridge the gap between scientific significance and practical value, and further develop the human capital to propel the city of Abu Dhabi and the UAE into a more prosperous and sustainable future. CITIES leverages the expertise of faculty members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond the NYU Global Network, as well as local stakeholders and private companies across the UAE and abroad. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

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? To strengthen our team, we are seeking a university assistant to develop advanced machine learning and artificial intelligence methods. University assistant predoctoral - PhD position in Probabilistic and Interactive Machine Learning 39 Faculty of Computer Science Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5376 Your personal sphere of influence: The working group “Probabilistic and Interactive Machine Learning” within the research group “Data Mining and Machine Learning” at the Faculty of Computer Science, led by Prof. Sebastian Tschiatschek, develops foundational methods in machine learning and artificial intelligence. We focus particularly on the areas of reinforcement learning, interactive learning, and deep probabilistic models. While modern reinforcement learning (RL) has achieved remarkable success, it remains limited when applied to complex, open-ended, or poorly defined environments. Two of the most critical bottlenecks in contemporary AI are sample inefficiency, often caused by the lack of intelligent, structured exploration, and the "reward engineering" problem, where designing an explicit scalar reward function that captures desired behavior is incredibly difficult or impossible. Furthermore, as AI systems are deployed in more complex environments, the challenges of AI alignment (ensuring systems behave according to human preferences) and constrained learning (adhering to strict safety, legal, or physical boundaries) become important. This position is dedicated to addressing these core challenges by advancing the frontiers of Inverse Reinforcement Learning (IRL), exploration, and safe/aligned AI.                       Your future tasks: You actively participate in research, teaching & administration, which means: You will contribute to academic research projects in the above-mentioned areas. You will work on scientific articles and publish your research results. You will participate in academic conferences to present your research. We expect you to conclude your dissertation agreement within 12 months. You will work on your dissertation and bring it to completion. You will take on teaching responsibilities as specified by the collective agreement. You will support the supervision of students’ projects and theses. You will undertake administrative duties in research, teaching, and university administration, and support the organization of workshops, conferences, and symposia. This is part of your personality: Completed Master's degree (or comparable degree) in computer science, data science, mathematics, communication engineering, or a related field (Applications from candidates close to completion are welcome. Employment can only begin once the Master´s degree has been awarded.) Excellent command of English Outstanding written and oral communication skills Strong ability to collaborate within research teams Perseverance and a proven ability to bring projects to reliable completion High motivation and commitment to scientific excellence Willingness to travel, including participation in national and international conferences Solid knowledge of machine learning and artificial intelligence (in particular in the areas of bandits and reinforcement learning) Strong programming skills, preferably in Python. Experience with deep learning frameworks such as Jax, PyTorch, or TensorFlow. Excellent analytical skills and strong interest in developing a deep understanding of algorithms and methods Cooperative, team-oriented, and proactive working style The following are also desirable: Experience with research methods in the field of machine learning and artificial intelligence, as well as scientific writing Excellent academic record, ideally with initial research results in the area of the position, documented by publications or manuscripts in preparation Experience in university teaching International experience What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.  Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Tenure: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. It is that easy to apply: Academic curriculum vitae  Letter of motivation including your project ideas (and description of your teaching experience, if available) Abstract of Master´s Thesis Degree certificates Transcript of records List of publications, evidence of teaching experience (if available) If you have any questions, please contact: Sebastian Tschiatschek sebastian.tschiatschek@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: 06/06/2026 Prae Doc