University of Cincinnati – Uptown

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? We are currently seeking a/an University assistant predoctoral 51 Faculty of Physics Startdate: 01.09.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2029 Reference no.: 5834 Are you interested in fundamental questions in theoretical physics and in the mathematical structures underlying quantum field theory? The Mathematical Physics Group at the Faculty of Physics of the University of Vienna invites applications for a PhD position in theoretical and mathematical physics. The doctoral project will focus on modern aspects of quantum field theory and holography, broadly including infrared physics, flat-space holography, conformal and Carrollian field theories, higher-spin structures, and generalized symmetries. The precise focus will be defined during the initial phase of the appointment in accordance with the aims of the position and the background of the successful candidate. Your personal sphere of influence: As a university assistant predoctoral, you will join the Mathematical Physics Group at the Faculty of Physics. The position is intended for a doctoral project in theoretical and mathematical physics, broadly within the area of quantum field theory and related mathematical structures. Possible research directions include infrared aspects of quantum field theory and gravity, flat-space holography, algebraic approaches to quantum field theory, relations between AdS/CFT and flat-space or Carrollian/celestial limits, higher-spin structures, conformal field theory, and generalized symmetries. The concrete doctoral project will take into account the previous expertise, interests and strengths of the successful candidate. The group offers a research environment for candidates who are interested in fundamental questions and who want to develop a strong and independent profile in theoretical physics. You will also benefit from the broader research environment of the Faculty of Physics and the Vienna Doctoral School in Physics, which connects PhD students across all areas of physics. Your future tasks: You actively participate in research, teaching & administration, which means: You will work on a doctoral project in theoretical and mathematical physics, broadly connected to quantum field theory, conformal field theory, holography, infrared physics, higher-spin theory and/or generalized symmetries. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time, with a high level of independence.  You will contribute to teaching (mainly exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for research, teaching and administration. You will actively participate in seminars, group meetings, and other activities of the group. You will continuously stay informed about the state of the art in your field. You contribute to outreach by publications, conference presentations and public activities. This is part of your personality: You have completed, or will complete before the starting date, a Master’s degree or Diploma in physics, mathematical physics or a closely related field. Your Master’s thesis was in theoretical physics, mathematical physics or a closely related area, preferably connected to quantum field theory, conformal field theory, mathematical aspects of QFT, holography, gravity, higher-spin theory, generalized symmetries or related topics. You have a profound background in theoretical physics and mathematics. You have excellent grades in advanced theoretical and mathematical courses during your studies. You have a solid working knowledge of quantum field theory, and you are willing to deepen your expertise in the mathematical structures relevant for the dissertation project. You are able to read and work with advanced research literature independently. You have experience in scientific writing, for example through a Master’s thesis or comparable written research work. You have an excellent command of written and spoken English. You are motivated to work independently while also contributing constructively to a research group. Previous knowledge of one or more of the following areas is desirable: conformal field theory, algebraic quantum field theory, general relativity, holography, representation theory, differential geometry, higher-spin theory, generalized symmetries, or related mathematical methods. 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 2,832.08 for 30 hours/week, 14x p.a., increases if we can credit professional experience. 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 non-extension declaration. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae With a letter of motivation explaining your previous academic and research achievements, your research interests and your fit for the advertised research area With your Bachelor’s and Master’s degree certificates, or current confirmation that the Master’s degree will be completed before the starting date With transcripts of records from your Bachelor’s and Master’s studies With your Master’s thesis, or, if it is not yet completed, a draft, extended abstract or summary of the thesis project Via our job portal / Apply now -  button (https://careers.univie.ac.at/en/, reference number 5834) • Applicants should arrange a letter of reference sent to theor-physik@univie.ac.at before the deadline. If you have any questions, please contact: Stefan Fredenhagen stefan.fredenhagen@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: 07/19/2026 Prae Doc

Part time (14 hrs) fixed term until 31 March 2028 Research Assistant role supporting research of kidney disease and social health Base Salary $93,345 (pro rata 0.40 FTE) + 17% superannuation About the opportunity Founded in 1930, Sydney School of Public Health is Australia's first and leading school of public health. Each day, our researchers and graduates are tackling global health challenges and striving to improve equity in communities locally and around the world. This is a unique opportunity for a Research Assistant to support an MRFF Grant funded project for the "CONNECTeD" social prescribing pilot study in people with kidney disease Your key responsibilities will be to: provide support in the coordination of ethics applications, development of trial resources, safety reporting, liaising with internal and external stakeholders including University departments, Local Health Districts and local Councils assist to coordinate clinical trial activities including recruitment activities, site initiation and monitoring, data collection and drive compliance across study processes, ensuring adherence to national regulatory and ethical requirements and ICH GCP and applicable SOPs assist to identify potential risks to project timelines and budgets, implementing contingency plans as necessary maintain effective communication with internal and external partners, facilitating discussions to address concerns and gather feedback report to the Project Leads, Chief Investigators and the Study Steering Committees utilise software tools such as REDCap and the Microsoft Office suite to support trial management and reporting. About you a bachelor's degree or higher in public health, allied health, medicine, or an equivalent combination of relevant training and experience experience in supporting clinical trials demonstrated experience in social health research demonstrated experience in consumer and patient engagement experience conducting literature searches experience in trial management software and University systems, including REDCap would be well regarded proven stakeholder management skills, with experience engaging internal and external partners across universities and health districts good organisational and problem-solving skills, with a proactive approach to risk management and compliance. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Cecilia Blamey, Recruitment Operations by email to cecilia.blamey@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Monday 20 July 2026 11:59 PM

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Professional Officer in Applied Artificial Intelligence (AI) The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Applied AI and related areas. Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied AI capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Qualifications: A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Equivalent industry experience may also be considered. At least 8 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated experience applying AI to the SIT’s focus areas Experience in one or more of the following areas will be advantageous: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit-learn, CNTK, big data technologies such as Apache Hadoop and Spark, and DevOps/MLOps. Strong foundation in data structures, data modelling, and software architecture, with programming proficiency in Python, R, Java, and/or C/C++. Good grounding in mathematics, including probability, statistics, and algorithms. Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. Key Competencies Passion for teaching, coaching, and mentoring students and junior practitioners. Strong analytical and hands-on problem-solving skills. Ability to build and maintain effective working relationships with internal and external stakeholders. Adaptability and willingness to work across functions and teams in a dynamic environment. Self-motivated and committed to continuous learning and professional growth. Strong technical writing, communication, and presentation skills. Good analytical, critical thinking, and problem-solving abilities. Proactive, resourceful, and able to take ownership of assigned responsibilities. What SIT offers: An applied research environment to tackle real-world problems together with industry partners Opportunities to shape a coherent applied AI research agenda with colleagues across disciplines and build Singapore’s applied AI research capability at a pivotal moment Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub