VSB - Technical University of Ostrava

About us: This is an exciting opportunity for an experienced and organised waste and resource professional to support Estates & Facilities (E&F) in delivering efficient, compliant, and sustainable waste practices. As part of King’s commitment to sustainability and climate action, you will help drive initiatives that reduce environmental impact and contribute to our vision of making the world a better place. About the role:  The Waste & Resource Coordinator plays a vital role in supporting the effective management of waste and resources across King’s College London, including research and other hazardous or specialist waste streams. Sitting within the Sustainability Team in Estates & Facilities, this position is central to ensuring that King’s meets its legal obligations and ISO 14001 requirements while driving continual improvement in waste and resource practices. Reporting to the Sustainability Operations Manager, the postholder acts as the first point of contact for waste-related queries and provides operational advice to stakeholders across all campuses. You will maintain oversight of the waste budget, including forecasting, invoice validation, and reporting, ensuring cost-effective and transparent management of waste services. The role also involves maintaining accurate data inputs into a central Power BI system and interpreting complex datasets to inform decision-making and performance monitoring. Engagement and communication are key aspects of this role. You will attend regular user group and waste review meetings, deliver training tailored to different audiences, and collaborate on campaigns that promote best practice and behavioural change. The Waste & Resource Coordinator also represents King’s in sector networks, strengthening our profile and learning from industry developments. Compliance is a critical responsibility. You will monitor legislative updates, ensure complete and accurate record-keeping of evidentiary documentation, and lead internal audits and Duty of Care visits to verify compliance and identify opportunities for improvement. Additionally, you will contribute operational insights to waste contract management and tendering processes, support the development and implementation of the waste strategy and policy, and work with embedded space partners to align processes and co-design initiatives. This is an exciting opportunity for someone passionate about sustainability and resource efficiency, with strong organisational, analytical, and communication skills. Your work will help embed best practice across King’s and support the university’s commitment to environmental sustainability. This is a full-time post (35 hours per week). About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Knowledge of legislation and compliance requirements: Strong knowledge and understanding of waste & resource compliance requirements across both hazardous and non-hazardous waste streams (knowledge of ISO 14001 desirable). Data & Reporting Skills: Ability to interpret and manage complex datasets and produce clear, insightful reports. Collaboration & Partnerships: Proven ability to establish partnerships and lead collaborative initiatives. Stakeholder Engagement & Influence: Demonstrated ability to effectively engage and influence diverse stakeholders to ensure alignment within teams and organisations. Communication & Training: Experience developing communication and training materials and presenting to varied audiences. Project Coordination & Time Management: Ability to manage multiple projects and priorities with attention to detail. Technical skills: Proficiency in MS applications, including SharePoint and Power BI. Familiarity with Budget Management: Experience with invoice validation, purchase order processing, and financial reporting. Desirable criteria Qualification in a relevant topic. Membership of an appropriate professional body. Experience working in a higher education or large, complex organisations. Experience organising and leading behavioural change campaigns/initiatives. 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. 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 person specification section of the job description. 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. We expected to take place in the w/c 9 February 2026 Grade and Salary: £39,076 - £42,819 per annum inclusive of London Weighting Allowance Job ID: 135126 Close Date: 23-Jan-2026 Contact Person: Jen Smallwood Contact Details: jenna-marie.2.smallwood@kcl.ac.uk

Description The Center of Astrophysics and Space Science, New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to work with the Mars Research Group to support scientific investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination of scientific results from Hope observations. The funding for this position is provided by the UAE Space Agency. Applicants with additional questions about the role or the associated research project may contact the Principal Investigator Dr. Dimitra Atri (atri@nyu.edu). The successful applicant will; Analyze Emirates Mars Mission (Hope) data: Conduct detailed analysis of atmospheric and surface observations collected by the UAE’s Hope probe to support scientific goals of understanding Martian atmospheric and surface processes. Assist with analysis of additional Mars mission datasets: Examine and interpret complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run numerical simulations on NYUAD’s High-Performance Computing (HPC) system. Support preparation of scientific manuscripts and presentations: Assist in drafting reports, papers, and conference materials to communicate research findings to the global scientific community. A candidate with a Master’s degree is preferred; however, the minimum requirement is a Bachelor’s degree in physics, computer science, or a related discipline. The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine learning and planetary science concepts is highly beneficial. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.

We are seeking an enthusiastic and experienced senior research fellow to work on a £1m EPSRC-funded project to develop human-centred AI methods that can support and enhance intelligence analysis for national security and defence. The ‘AiTASHA’ project (AI Intelligence Triage & Acquisition Support for Human-centred Analysis) aims to improve the speed and confidence of intelligence analysts’ assessments by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets, to identify indicators and warnings of hostile or malicious activities. Analysts must make these assessments rapidly in a highly-pressured and resource-constrained environment, where they face difficult choices of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale and complexity of intelligence datasets, as well as the threat posed to UK safety, are growing, and existing AI support tools primarily focus on the identification and visualisation of patterns within datasets, without due consideration of human understanding or context, defensibility, and representation of uncertainty. The goal of this ambitious project is to make fundamental advances that will together underpin and enable a future explainable, defensible AI system that can complement, rather than replace, the work of intelligence analysts; recommending which existing data should be prioritised for human review and which potential new data should be prioritised for acquisition. To address this challenge we will advance the state-of-the-art across multiple component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications to intelligence analysis. This role will involve developing and applying methods for eliciting knowledge from expert analysts in order to encode understanding of their mental models into a machine learning model, using dynamic Bayesian networks to understand, propagate and reduce uncertainty in their assessments. The research will apply models of distributed situation awareness and ecological interface design techniques to develop a novel human-centred human-AI teaming model. The researcher will also be working closely with colleagues in statistical / graphical modelling as well as AI ethics, and will therefore need to be conversant in these areas. The role will be based at the University of Southampton as part of an interdisciplinary consortium on the AiTASHA project, which is led by the Alan Turing Institute and also includes the universities of Warwick, Cardiff and Dundee, working closely with UK government defence and national security partners. The successful candidate will join this vibrant and interdisciplinary team of researchers and will have frequent opportunities to engage with internal stakeholders and external government partners throughout the delivery of the project. During the project it is expected that they will work as part of a small tight-knit cohort of Early Career Researchers spanning the AiTASHA consortium universities. Please apply by uploading your CV and a Cover Letter. To be eligible for this role it is a funder requirement that you are a UK National or have been residing the in the UK for 5 years or more, and be happy to be put forward for a Security Check (SC) clearance. Please confirm the following information in your cover letter: Your current and any former nationalities That you have been residing in the UK for the past 5 years