The Catholic University of Korea (CUK)

You will join the vibrant Flexible Nanoelectronics team, led by Prof Dimitra Georgiadou within SEMS group in the School of Electronics and Computer Science (ECS) at the University of Southampton. You will work in close collaboration with the Silicon Photonics group and Prof Frederic Gardes’ team at the Optoelectronics Research Centre. In the EPSRC-funded “Retinomorphic nanoscale synapses’ integration with silicon nitride photonic structures” (NANORETINA) project you will develop optoelectronic arrays, based on advanced photoactive materials, such as organic, perovskites and two-dimensional semiconductors, like transition metal dichalcogenides, acting as artificial neurons and/or synapses. These will be integrated on a silicon nitride photonic platform that routes and manipulates light. You will demonstrate adaptive, light-driven networks that combine sensing, memory, and computation. The role is well suited to candidates who wish to further develop their expertise in neuromorphic technologies and optoelectronics within a supportive and well-resourced research environment. You will work in the state-of-the-art clean rooms of the Optoelectronics Research Centre. You will receive extensive training and support from the current users for all facilities, as you develop the skills necessary for the job. Prior experience on every tool is not required. You will be invited to travel to project meetings and dissemination activities across the UK and overseas, and perform short stays at academic partners (e.g., University of Strathclyde, Aston University), assisting junior research staff and planning and participating in group outreach activities. Reasonable adjustments will be made to support candidates for whom travel may present challenges. The role includes extensive leadership training and transferrable skills development that will allow you to progress from device and tool specialist to neuromorphic computing leader. You will be offered career development opportunities via online courses and workshop attendance through the ECS Centre for Neuromorphic Technologies (CeNT) and UKRI Multidisciplinary Centre for Neuromorphic Systems and Computing (NeuroSYNC) networks. Essential Requirements: Experience in either photonic structures or optoelectronic device fabrication and characterisation. Strong experimental skills in at least one of: nanofabrication, electronics, materials development and processing, or thin-film characterisation. Ability to work collaboratively within interdisciplinary research teams. Good communication and interpersonal skills. Desirable Requirements: Prior experience with neuromorphic computing, photodetectors and/or memristive devices and arrays. Experience in working with photoactive materials, such as organic, perovskites or two-dimensional semiconductors. Experience in contributing to academic publications and funding proposals. For informal enquiries about the application process, please contact Prof Dimitra Georgiadou (d.georgiadou@soton.ac.uk). ECS holds an Athena SWAN bronze award in recognition of its continued commitment to improving equality for women in science and engineering. We take Staff wellbeing and professional development seriously. We offer a mentoring scheme for Staff. We will give due consideration to applicants that wish to work flexibly, including part-time and job share, and to those who have taken a career break. The University has a generous maternity policy* and onsite childcare facilities. Benefits to Staff include a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. *subject to qualifying criteria We welcome applications from candidates whose PhD completion timelines have been affected by caring responsibilities, health conditions, or other personal circumstances.

Senior executive leadership opportunity with strategic impact Shape allied health education and research for regional communities Lead a large, diverse School with strong professional alignment The role Full Time, Fixed Term (Five years) Senior remuneration package ranging from $208,921 - $261,151 Albury - Wodonga, Bathurst, Orange or Port Macquarie We are seeking an exceptional academic leader to take on the role of Head of School, Allied Health, Exercise and Sports Sciences. This is a strategic senior leadership opportunity to guide one of the Universitys most impactful and professionally aligned Schools, delivering excellence in teaching, research and community engagement.Reporting to the Executive Dean, the Head of School is accountable for the overall performance and strategic direction of the School across learning and teaching, research productivity, community engagement, and financial and resource management.You will provide strong, visible leadership to a diverse academic community, ensuring the School operates cohesively and contributes meaningfully to Faculty and University strategy. A key focus of the role is strengthening partnerships with industry, professions, government and regional communities, with a strong commitment to improving rural and regional health outcomes.As a senior leader within the University, you will also contribute to Faculty and University wide governance, planning and strategic initiatives. About you You are a credible academic leader with a strong record of achievement and the ability to inspire others in complex environments. You bring a deep understanding of the higher education and health sectors and a genuine commitment to regional and rural communities. A doctoral qualification (or equivalent standing) in a discipline relevant to the School Comprehensive knowledge of the tertiary education environment, governance and policy frameworks Strong understanding of the Australian health system and professional accreditation requirements Demonstrated success leading teams, managing resources and delivering strategic outcomes Excellent leadership, communication, financial and risk management capability About us We are a university of the land and people of our regions. True to the character of regional Australia we have gumption, we have soul and we collaborate with others. We develop holistic, far-sighted people who help their communities grow and flourish. The Wiradjuri phrase yindyamarra winhanganha means the wisdom of respectfully knowing how to live well in a world worth living in. This phrase represents who we are at Charles Sturt University - our ethos. It comes from traditional Indigenous Australian knowledge, but it also speaks to the mission of universities - to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. Learn more about the Faculty of Science and Health here. Learn more about the School of Allied Health, Exercise and Sports Sciences here. Visit our website to learn about our great range of employee benefits. Charles Sturt University is committed to building a diverse workforce as shown through our Athena Swan Bronze Award, our Australian Workplace Equality Index Bronze Award and our membership of a range of diversity focused organisations including Diversity Council Australia and Pride in Diversity. We encourage applications from First Nations people, carers, people from culturally and linguistically diverse backgrounds, people with disability, neurodivergent people, and people of all age groups, genders and sexualities for all roles. To apply Click the Apply button and complete your application online, submit a "statement of suitability" demonstrating your skills, knowledge and/or experience relevant to the position (referencing the selection criteria in the position description) and upload your CV. If you experience difficulties applying online or for further information on completing the application process please visit our how to apply page or contact us. This position is open to Australian Citizens and Permanent Residents; or applicants who hold a current valid work visa commensurate with this position. Further information Additional information is available in the position description. For Recruitment specific enquiries, please contact Nelvin Kumar | Talent Acquisition Consultant | nekumar@csu.edu.au or for a confidential discussion on the role please contact: Professor Megan Smith | Executive Dean - Faculty of Science and Health | deanofscienceandhealth@csu.edu.au Closing Date: 11pm, 24 May 2026

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are offering PhD Positions in Responsible AI 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 01.08.2029 Reference no.: 5509 The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. About the team Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency:  Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team, you will have a unique opportunity to shape our research culture and contribute to high-impact projects from the ground up. We are currently hiring a founding cohort of 3 PhD researchers to tackle high-impact projects across our core focus areas.  We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/. Tasks and Responsibilities Develop machine learning methods and tools with a specific focus on: Data-Centric AI: Including data attribution, data curation, and privacy preservation for large foundation models (e.g., LLMs and VLMs); Agentic AI: Exploring multi-agent systems and their dynamics; Explainable AI: With a particular emphasis on mechanistic interpretability. Invent, evaluate, and publish novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral School of Computer Science and conclude a doctoral thesis agreement within 12 months. Present your research results at top-tier international conferences, workshops, and journals. Contribute to the academic community by assisting in the organization of international meetings, conferences, and symposia. Take on administrative responsibilities to support the research group and the Faculty of Computer Science. You hold courses and examinations independently and (co-)supervise students within the scope of the provisions of the collective bargaining agreement.  Your qualifications Must-haves A Master’s degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field.  A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX). An early track record of research (e.g., a high-quality Master's thesis, open-source contributions, or workshop papers).  Excellent command of written and spoken English, as we operate in a global research environment. A high degree of intrinsic motivation, curiosity, and the ability to work both independently and collaboratively. Desirable skills Experience in training or fine-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based workflows. Prior experience in a research lab, including contributions to publications or significant open-source projects. Teaching experience. What we offer Competetive Compensation: A full-time salary of EUR 3,776.10 (on a full-time basis, paid 14 times a year) which may increase if we can credit professional experience. World-Class Location: Live and work in Vienna, consistently ranked as the world's most livable city, with our office easily accessible via excellent public transport. Inspiring work atmosphere: Become part of an international academic team in a healthy and collaborative working environment. Training and Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Contract Structure: The planned employment duration is up to 4 years. Following standard university procedures, the initial contract is for 1.5 years. This automatically extends to 3 years – and subsequently up to 4 years based on research progress – following a successful mutual evaluation in the first 12 months. What you need to apply Academic curriculum vitae Cover letter (State the earliest start date and your motivation to apply.) A copy of your thesis (or an extended abstract if still in progress) Official transcripts for both your Bachelor's and Master's degrees Fill out this form (optional but encouraged): https://tinyurl.com/mvamwy7a  If you have any questions, please contact: Martin Pawelczyk martin.pawelczyk@univie.ac.at We look forward to welcoming new talent 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: 05/20/2026 Prae Doc