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Research Assistant, Quantum-enabled super-resolution imaging
RMIT University
Australia, Melbourne
RMIT University
Australia, Melbourne
1x full time, fixed term (17 months) position available within the School of Science Salary Academic Level A + 17% Superannuation Based at the City campus but may be required to work and/or be based at other campuses of the University. About You The Research assistant will undertake research activities in line with the University's research strategy. It is expected that the Research Assistant will work with an increasing degree of autonomy as skills and experience develop. The Research Assistant will contribute to a specialised research program in quantum information theory and quantum optics, with a focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured optical fields. The successful candidate will work on designing and analysing protocols that exploit quantum-optical channels-such as those encountered in coherent and incoherent spectroscopy To be successful in this position, you'll have / you'll have as a minimum: Evidence of research output including publications, conference contributions and/or technical reports in the field. Theoretical background in quantum control and quantum optics, including the ability to model and analyse light-matter interactions, dynamical evolution. Theoretical background in quantum channel discrimination and quantum metrology, with proficiency in applying information-theoretic tools to develop and evaluate precision measurement and sensing protocols. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners. Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required. Demonstrated high level of communication skills. Qualifications Mandatory: A PhD in physics, mathematics or a related discipline. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter and address the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. Please indicate in your cover letter for which position you are applying for. For further information about this position, please see the Position Description hyperlinked below. Position Description - Research Assistant Applications close on Wednesday, 21st of January 2026. About RMIT University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings Bring Your Whole Self to Work We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. We are a Circle Back Initiative Employer - we commit to respond to every applicant.
Salary
Competitive
Posted
22 Dec 2025
Research Engineer (Decision-Support Tool Development) - CSC3
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.
Salary
Competitive
Posted
22 Dec 2025
Postdoctoral Research Associate in Chemical Biology / Biocatalysis
Durham University
United Kingdom, Durham
Durham University
United Kingdom, Durham
Applications are invited for a Postdoctoral Research Associate in chemical biology with a strong focus on biocatalysis. The associate will join a multi-disciplinary research team within the Schnepel group that focuses on the development of novel biocatalysts for the synthesis of fine chemicals, pharmaceuticals and bioconjugation chemistry. The research project led by Dr Christian Schnepel will involve the discovery, development and study of biocatalysts for the synthesis of peptide-based therapeutics. The successful applicant will be expected to work closely with the industry partner Johnson & Johnson in Belgium to develop cutting-edge bio-synthetic methodologies for drug discovery and large-scale manufacturing. This post is fixed term for 12 months. The MRC funding is available for this fixed period only. The post-holder is employed to work on research/a research project which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols. Successful applicants will, ideally, be in post by 1st April 2026. Department contact for academic-related enquiries Dr Christian Schnepel.
Salary
£38784 - £39906 per annum
Posted
22 Dec 2025
University Tutor in Mathematics & Statistics
Maynooth University
Ireland, Maynooth
Maynooth University
Ireland, Maynooth
Department: Mathematics & Statistics Vacancy ID: 039223 Closing Date: 25-Jan-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. The University Tutor plays an important role in the delivery of many of the University’s academic programmes and is appointed for the primary purpose of contributing to teaching within a clear and established teaching programme by providing tuition and/or demonstrations to groups of, usually undergraduate students, in specific aspects of the programme. The University Tutor assists and supports students to further develop their understanding of key course topics and to draw out key learning points from course materials. University Tutor: €45,051 – €57,348 p.a. (7 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 25th January 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
Salary
€45,051 – €57,348 p.a.
Posted
22 Dec 2025
Research Assistant in GeoAI, Infectious Diseases, and Health Equity
King's College London
United Kingdom, London
King's College London
United Kingdom, London
About us King’s College London invites applications for a Research Assistant (RA) in GeoAI, Infectious Diseases, and Health Equity to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The RA will contribute to Dr. Li’s UKRI-funded Future Leaders Fellowship project which focusses on integrating equity considerations into infectious disease mapping and surveillance, starting with the UK. The RA will be based in the Department of Geography, but will have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute for Artificial Intelligence, and the Digital Futures Institute. The RA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, and John Hopkins University (USA). About the role The RA will contribute to the theoretical and methodological developments of scalable GeoAI systems that improve understanding of infectious disease risks across populations and space, particularly for vulnerable and disadvantaged populations. The RA will lead literature review searches to identify the historical, structural, and contextual drivers of disease risk and inequity, and map pathways and interactions among determinants to inform disease mapping and modelling. The RA will lead the development of a database of high-resolution equity indicators for disease surveillance, and will contribute to the development of novel approaches for managing confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research will advance our understanding of how major infectious diseases of concern in the UK emerge, spread, and unequally affect different individuals and population groups. Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public health surveillance and pandemic preparedness, with direct links to public health policy. The findings will inform the development of a real-time spatial AI system to improve early detection and risk prediction, to protect vulnerable populations in the UK and in the future globally. This is a full-time post (35 hours per week), and you will be offered a 2-year fixed-term contract. The post is offered on a hybrid working basis, typically involving three days per week on campus and two days remote. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing peer-reviewed papers. Demonstrated ability to collaborate effectively within teams, with a strong commitment to fostering a fair and inclusive work environment. Excellent written and oral communication skills, including to diverse audiences. Desirable criteria Experience managing stakeholder relationships and working in a practitioner/policy context. Experience working on interdisciplinary research projects. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held between Monday 19th - Friday 23rd January 2026. Grade and Salary: £39,735 per annum including London Weighting Allowance Job ID: 134808 Close Date: 11-Jan-2026 Contact Person: Sabrina Li Contact Details: sabrina.li@kcl.ac.uk
Salary
£39,735 per annum including London Weighting Allowance
Posted
23 Dec 2025