Lancaster University Management School

About the job To lead the technical development, optimisation, validation, and field deployment of a smart optical nitrate sensor platform within the School of Chemistry and Chemical Engineering at Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical validation, prototype refinement, and preparation for commercialisation via spin-out or licensing. The role will combine advanced analytical chemistry, microfluidic systems development, and applied environmental testing with translational activity including prototype deployment, stakeholder engagement, and regulatory validation support. The post holder will work closely with the Academic Lead, Delivery Lead, QUBIS Commercialisation Manager, and external partners to de-risk the technology across technical and commercial dimensions. About the person The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or about to obtain a PhD in Analytical Chemistry, Materials Chemistry, Environmental Chemistry, Chemical Engineering or a closely related discipline. Recent relevant research experience to include: Demonstrable expertise in instrumental analytical techniques (e.g. ion chromatography, spectroscopy, or related methods). Demonstrable familiarity with technology translation,commercialisation of research, or similar entrepreneurial activity. Experience in method development, validation, and quantitative data analysis. Experience working with complex sample matrices (e.g. environmental waters, agricultural runoff, wastewater). Strong data handling and statistical analysis capability. Publication record commensurate with stage of career To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information. This post is available for 21 months or until 31 January 2028. whichever is soonest.Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding. What we offer Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website. Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality, Diversity and Inclusion, please visit our website. If you are an international applicant and don't already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application.

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 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 looking for a/an  University assistant predoctoral 52 Faculty of Chemistry Startdate: 20.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5476 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be scientifically successful. Does that sound like something for you? Welcome to our team! Your personal sphere of influence: A PhD position is available in the group of Prof. Köllensperger, at the Institute of Analytical Chemistry, at the Faculty of Chemistry, starting April 2026. The methodology-driven research plan supports cutting-edge biotechnology in the areas of mass spectrometry method development and the development of new, bio-based materials. Information about the group can be found at https://koellenspergerlab.univie.ac.at. 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. An extension to a total maximum of 4 years is possible if the employee proves themselves and makes appropriate work progress. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of analytical chemistry. Assessment of bio-based materials and processes. Analysis of mass spectrometry datasets We expect you to finalize your dissertation agreement within 12-18 months. You work on your dissertation and its completion. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed Master's degree or diploma, in the field chemistry, preferably with a focus on analytical chemistry or an equivalent qualification Experience in the area bioanalytical chemistry Initial experience in scientific writing Didactic competences / experience with e-learning IT user skills: MS Office Desireable knowledge: Analysis of mass spectrometry datasets. Excellent command of written and spoken English (B2), futhermore very good command of German (B2) You should be a team player with high social skills What we offer: 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. An extension to a total maximum of 4 years is possible if the employee proves themselves and makes appropriate work progress. Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid (upon agreement). 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 in the center of beautiful Vienna 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. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent (max. 2 pages) With your summary of research interests / ideas for a prospective doctoral project proposal (max. 1 page) Bachelor and Master Degree / Diploma Via our  job portal / Apply now - button If you have any questions, please contact: Gunda Köllensperger gunda.koellensperger@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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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: 03/30/2026 Prae Doc

Full time, fixed term opportunity for 18 months This position is available immediately with reasonable flexibility on the star date Base Salary Level A, Step 5-8 $109,263 - $121,054 p.a + 17% superannuation About the opportunity The School of Project Management at the University of Sydney is a leading hub for interdisciplinary research at the intersection of engineering, systems thinking, and organisational studies. We are seeking a Postdoctoral Research Associate (Level A) to join a new research stream focused on digital twins as adaptive decision infrastructure for complex cyberphysical human systems, enabled by agentic and embodied AI. Working under the supervision of Dr Neda Mohammadi, the successful candidate will contribute to the development of new concepts, methods, and scalable systems for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI, and cyberphysical systems can improve collective decision quality across interconnected sociotechnical systems such as cities, critical infrastructure, mobility, energy, emergency response, and resilience. The appointee will conduct original research, publish in top-tier academic journals, collaborate with academic and industry partners, and contribute to competitive grant applications and research impact activities. The position offers opportunities for career development, academic mentoring, grant development, and research student supervision, supporting the successful candidate's development in collaboration and research leadership. Your key responsibilities will be to: conduct high-quality original research on digital twins, agentic and embodied AI, and collective decision making in complex sociotechnical systems investigate new concepts and develop methods for digital twins as dynamic decision infrastructure with human oversight design and implement scalable cyberphysical human systems for scenario generation, planning, and high-stakes intervention design prepare and submit publications to leading academic journals and conferences collaborate with interdisciplinary academic and industry partners, contribute to competitive grant applications and research impact activities, and supervise or mentor research students where appropriate. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Digital Twin Decision Infrastructure for Critical Sociotechnical Systems who has: a PhD awarded or near completion in a relevant discipline such as systems science, engineering, project studies, computer science, information systems, operations research, or computational social science. evidence of a developing research profile, including publications record relevant to career stage research expertise in one or more of the following: digital twins, cyberphysical systems, human-centred AI causal modelling, uncertainty quantification, explainable AI, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming and computational research skills ability and interest in conducting interdisciplinary research and working effectively across disciplinary and stakeholder boundaries excellent communication skills. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. 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 LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, most representative academic publications (up to 3), and any additional supporting documentation such as link to code/other research outputs) 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 Cherie Goodwin or Rebecca Astar, Recruitment Operations by email to recruitment.sea@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 April 2026 11:59 PM