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Post-Doctoral Associate in the Division of Engineering - Dr. Ahmad Bin Thaneya
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Division of Engineering (Civil and Urban Engineering) in New York University Abu Dhabi seeks to recruit a post-doctoral associate to work on research centering around infrastructure systems and the environment under the supervision of Dr. Ahmad Bin Thaneya. The post-doctoral associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for infrastructure design, management, and policymaking. Investigating the residual sources of PM2.5 exposure from transportation systems following electric vehicle (EV) adoption, including exposure due to emissions from electricity generation for charging EVs, buses, trucks, rail, pavement resurfacing, tire and brake wear, and supply chain effects. Conducting life-cycle uncertainty assessments of building materials, carbon sinks (e.g., carbon dioxide removal options), and alternative low-carbon fuel sources. Candidates should demonstrate a strong theoretical background and proficiency in one or more of the following areas: infrastructure systems modeling, emissions inventory development, air quality modeling (chemical transport models and/or reduced-complexity models), exposure assessment of airborne pollutants, and life-cycle assessment. The post-doctoral associate will be expected to lead research efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python or MATLAB) A strong record of authorship in peer-reviewed academic journals Excellent interpersonal and communication skills to support effective collaboration For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, and two letters of reference, all in PDF format. If you have any questions, please email aab8693@nyu.edu. 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. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.
Salary
Competitive
Posted
26 Dec 2025
Environmental Sustainability Manager (Biodiversity and Travel)
Liverpool John Moores University (LJMU)
United Kingdom, Liverpool
Liverpool John Moores University (LJMU)
United Kingdom, Liverpool
Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. The Estate Development team is about to embark on delivering our new Estate Plan. The plan sets out to develop an estate of the right scale and configuration to underpin a campus that is both financially and environmentally sustainable. The quality of the estate will continue to be a critical factor in attracting students, fostering a sense of belonging and sustaining positive outcomes for our students and research activity. All new projects will look to advance the University’s net zero ambitions, deliver greater biodiversity across campus, expand electrification and upgrade infrastructure to make sure the University is ready for the challenges ahead. The Environmental Sustainability and Energy Team is a small but high impact team; in 2025 it achieved Eco Campus Platinum and ISO50001 Certification and supported the institution to reach 15th place in the People and Planet University League. We have an exciting opportunity for an individual to join this driven and passionate team to lead on the implementation of two key sustainability delivery plans. We are looking for an Environmental Sustainability Manager who will be responsible for coordinating and delivering numerous workstreams under the Liverpool John Moores University Climate and Sustainability Plan. You will work to embed environmental sustainability into university day-to-day operations and support the university’s ambition of achieving Net Zero Carbon. The role will require flexibility across all sustainability themes, but key responsibilities will be to implement the Biodiversity and Active and Sustainable Travel Delivery Plans and to support the maintenance of the Environmental and Energy Management System (ISO14001/ISO50001 aligned). You will be based within Estate Development but will be expected to engage with key stakeholders and collaborate across university professional, academic and student communities to coordinate and drive activity to deliver continuous performance improvement. You will have a degree (or equivalent professional experience) in Ecology, Environmental Science, Sustainability, Natural Resource Management, or a related discipline; strong knowledge of biodiversity and ecological monitoring, including key species groups (birds, pollinators, bats); experience of ecological survey design, coordination, data collection, analysis, and reporting; have knowledge of relevant UK and regional policy frameworks relating to biodiversity, green infrastructure, sustainable transport, and climate resilience; have strong project management and organisational skills with the ability to deliver complex projects to budget and timescale. Excellent interpersonal and communication skills are essential with the ability to engage and influence diverse stakeholders. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction, and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.
Salary
£38,784 - £46,049 per annum
Posted
26 Dec 2025
Postdoctoral Fellow, LU Presidential Postdoctoral Research Fellowship Scheme
Lingnan University
Hong Kong, Tuen Mun
Lingnan University
Hong Kong, Tuen Mun
LU PRESIDENTIAL POSTDOCTORAL RESEARCH FELLOWSHIP SCHEME Postdoctoral Fellow (Post Ref.: 24/888) Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. We are launching the LU Presidential Postdoctoral Research Fellowship Scheme (PPRF) and invite applications from early career researchers from all over the world. Successful candidates will have the opportunity to collaborate with our academics in a supportive and dynamic research environment. The University will provide them with the resources, expertise, and mentorship to achieve their research goals. Eligibility Applicants should have obtained / been conferred a PhD degree or an equivalent qualification, and the PhD degree should have been received no more than three years prior to the start of the Fellowship. They are expected to have a good research track record and demonstrate good potential in publishing high quality papers. Duration and Requirements of the Fellowship The duration of the Fellowship will normally be three years. The appointment will normally be made on an initial contract of 1 year, and further appointment for a period of 2 years is subject to the appointee’s satisfactory performance. The appointees are required to submit applications for the RGC Junior Research Fellow Scheme (JRFS) or the JC STEM Early Career Research Fellowship for Translation and Application (JC STEM ECRF), and are encouraged to apply for other local / overseas grants or fellowship schemes. Terms and Benefits The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointees. The appointees will also be provided with research funding of HK$10,000 per year to support their research activities. Application Procedure Applicants are required to contact potential supervisors at Lingnan University and submit a research proposal (as discussed/developed by the applicants in conjunction with the potential supervisors) together with their applications. In the research proposal, please also indicate the name and the department of the potential supervisor. Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.
Salary
Competitive
Posted
26 Dec 2025
KHP Digital Health Hub Training Manager
King's College London
United Kingdom, London
King's College London
United Kingdom, London
About Us The Digital Health Hub Training Manager will play a key leadership role within the EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH), contributing to the professional services leadership of the Hub’s training arm. The role supports the delivery of skills development for individuals working at the healthcare-industry interface, fostering collaboration between digital innovators and the healthcare workforce to address real-world challenges in digital health. Sitting within a collaborative, multi-disciplinary environment, the Training Manager will work closely with colleagues across the Hub’s core pillars (Training, Co-design, Translation, and Acceleration) to ensure impactful and integrated training delivery aligned with the Hub’s overarching goals. About the role This role is an exciting opportunity to contribute to the professional services leadership of our EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH) as the Training Manager. The training component of this Hub focuses on identifying and delivering the skills needed to train problem solvers who address real-life challenges at the healthcare–industry interface. The goal is to support the development of proactive individuals who can use relevant data and technologies to tackle real problems in digital health. Digital innovators and the healthcare workforce work together in a multi-disciplinary environment to develop safe and scalable solutions. The training arm of the Hub works collaboratively with the other Hub arms, including AI training, co-design strategies, entrepreneurship, industrial partner engagement, Patient and Public Involvement & Engagement (PPIE), digital health innovation, and the research pilots embedded in the Hub. The four core pillars are Training, Co-design, Translation & Acceleration. Organised and delivery-focused, you will join an established team and bring experience in gathering, interpreting, and presenting data to demonstrate impact. Experience of matrix working would be beneficial, as the programme facilitates collaborative efforts to identify and overcome barriers to effective integration and translation across disciplines. You will work closely with subject matter experts and the learning technologist to maintain and enhance existing asynchronous training resources, as well as create new engaging materials for a range of audiences in digital health. The role also supports the delivery of in-person training, from advertising and bursary coordination to post-course feedback collection. The successful candidate will collaborate with the learning technologist to understand the learning objectives of course participants and engage with supporters, patients, and the public in workshops led by participants. These workshops provide opportunities to share learning experiences and offer feedback on the structure and content of the taught material. Onsite working will be required for effective collaboration across the Digital Health Hub, with the expectation that the successful candidate will work onsite at least three days per week. This is a full time post (35 hours per week), and you will be offered a fixed term contract until 31.03.27. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Strong project/programme management experience, including good IT skills (Microsoft suite). A degree in a science or health-related field, or relevant experience, and familiarity with medical/scientific/AI terminology. Customer focused, with excellent communication skills both verbal and written: ability to write coherently, and in good English, to a range of audiences across a range of academic disciplines. Proactive, ability to work independently, problem solve and use initiative. Experience of managing relationships with a range of stakeholders. Experience of impact/non-financial outcomes measurement, analysis and reporting Experience with communication strategies, such as effective use of social media and websites Budget management experience. Desirable criteria Knowledge of AI, and knowledge of evaluation and impact measurement techniques and analysis. Marketing and market research experience. Experience of designing or commissioning education or learning events. Web design and UX skills. Line management experience and experience of matrix working. 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. 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 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. Grade and Salary: £53,947 - £63,350 per annum, including London Weighting Allowance Job ID: 134826 Close Date: 11-Jan-2026 Contact Person: Professor Rebecca Oakey Contact Details: Rebecca.oakey@kcl.ac.uk
Salary
£53,947 - £63,350 per annum, including London Weighting Allowance
Posted
26 Dec 2025
Research Assistant in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@nyu.edu. 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. 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. References [1] http://tiramisu-compiler.org/
Salary
Competitive
Posted
26 Dec 2025