Shanghai University of International Business and Economics

Department: Office of VP Equality & Diversity Vacancy ID: 042003 Closing Date: 21-Jun-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. Ensuring equality, valuing diversity and promoting inclusion (EDI) is a key enabler of the Maynooth University Strategic Plan 2023 – 2028 and the University sees it as vital that we respond through positive actions to the object of greater inclusion. Our greatest impact on society is through inspiring and educating creative, inquisitive and critically engaged minds. We have a reputation for authentic, strengths-based education, supporting participation, engagement, and progression for all students. We are seeking to appoint a Director of Access who will have responsibility for strategic leadership and development of the Maynooth Access Programme. The Director of Access will be a senior university leader with responsibility for developing, and implementing a sustainable widening participation approach mainstreamed institutionally, and supporting policy development nationally, with the objective of supporting the access, retention and progression of identified National Access Plan (NAP) target groups in higher education.  Salary: Senior Administration III (2026): €92,195 – €130,203 p.a. (8 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 21st June 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

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

Classification: Senior Manager 1 (Information Technology) Salary package: $138,182 - $144,783 per annum plus 17% superannuation Terms: Full time, Fixed term (up to 24 months) Position Description and Selection Criteria: PD_PEWER_SM1_Senior Network Engineer.pdf The Position As a Senior Network Engineer, you will work as part of the Network and Communications Team within the Office of the Chief Information Security Officer and establish effective, customer focused working relationships with business areas and technical teams to deliver ICT network projects and improvement initiatives that directly contribute towards achieving the University’s strategic objectives. The University is in the process of implementing a new network and undertaking a substantial upgrade across its unified communications capabilities. Knowledge and experience with Software Defined Networking and Spine/Leaf Technology and infrastructure as code will be a significant advantage. Networking within a multicast experience will also be an advantage as this role will be working directly with the Audio-Visual team on implementation of new AV/Unified communications technologies. The Person The Senior Network Engineer at ANU is an Enterprise expert responsible for the strategic design, governance, and continuous evolution of the University’s enterprise network environment. Operating with a high level of autonomy, this role provides authoritative technical leadership across fixed, wireless, data centre, and telecommunications networks utilising Software Defined networking and infrastructure as Code Scripting capabilities, ensuring the University’s digital infrastructure is secure, resilient, scalable, and aligned with the Digital Master Plan. The Senior Network Engineer must be a collaborative individual, comfortable with working in a team environment (both internal and cross team) and must be an excellent communicator (written and verbal)  The Senior Network Engineer engineer acts as a senior technical advisor to Network Operations Manager, leads major transformation initiatives, and shapes long‑term network architecture. They collaborate with Colleges, Service Divisions, and project teams to deliver a seamless, high‑performance digital experience that supports world‑class research, teaching, and operational excellence. The School/Department The Network Operations function at ANU is responsible for ensuring the University’s fixed and wireless network services remain reliable, secure, and high‑performing across the Acton campus and all satellite sites. Its broad responsibilities span day‑to‑day operations, incident response, design validation, and the delivery of secure, scalable network infrastructure that supports ANU Digital Master Plan. Network Operations are also responsible for managing Network infrastructure lifecycle and delivering and running network projects supporting ANU Digital Master Plan The College/Division The Position sits within the Office of the Chief Information Security Officer (CISO) at ANU which holds broad, university‑wide responsibility for safeguarding the institution’s digital ecosystem, shaping security strategy, and ensuring resilience against cyber and information‑security threats. The CISO's remit spans strategic leadership, operational security functions, governance, culture, and risk management, as reflected in Information Security Office mandate and CISO role expectations. The ANU Office of the CISO is responsible for protecting the University’s digital environment, leading cyber and information security strategy, managing operational security functions, ensuring governance and compliance, and building a resilient, human‑centric security culture that supports ANU world‑class research and teaching mission. For further information please contact Fransz De Zilva, Network Operations Manager E: fransz.dezilva@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 is committed to providing equal employment opportunities to people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. 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 21 June 2026, 11.55pm (Canberra time)