George Washington University

Description The Mathematics Program in the Science Division, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa Sabri. The Mathematics Program at NYUAD is quickly expanding, the candidate will find many international experts and postdocs with whom to interact. Weekly seminars are in place across the various research areas represented at NYUAD. The successful applicant will also receive a mobility credit to participate in conferences. Applicants must have a PhD in Mathematics, with a strong background in one of the advertised topics, as well as an excellent academic record. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics. For consideration, applicants need to submit a cover letter, a curriculum vitae with a full publication list, a research statement, a transcript, and at least two letters of reference, all in PDF format. Shortlisted candidates will be interviewed twice. In the first interview, the candidate will give a talk summarizing earlier research. The second interview will be to discuss a research project in collaboration with Mostafa Sabri around the aforementioned topics. Candidates are advised to reflect upon such collaborations and include them in the research statement before applying. The duration of the postdoc is for 2 years, with a probation period of 6 months. The starting date is flexible but most likely to be in Fall 2025. If you have any questions, please email Mostafa Sabri at mostafa.sabri@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: 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. Equal Employment Opportunity Statement For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

About us: King’s College London is an internationally renowned university delivering exceptional education and world-leading research. The university is dedicated to driving positive, sustainable change in society and to realising our vision of making the world a better place. The Strategic Vision 2029 looks forward to King’s College London’s 200th anniversary in 2029 and sets out ambitious plans in five key areas: Educating the next generation of change-makers Challenging ideas and driving change through research Giving back to society through meaningful service Working with our local communities in London Fostering global citizens with an international perspective The Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s is a leading centre for mental health and neuroscience research in Europe. Our staff and students work to transform care for people affected by mental health and neurological conditions through world-class research, education, and training, while also serving our communities locally and globally. https://www.kcl.ac.uk/ioppn The School of Mental Health & Psychological Sciences (MHaPS) is one of three schools under the IoPPN, comprised of the four departments of Psychology, Social, Genetic & Developmental Psychiatry (SGDP), Health Service & Population Research (HSPR), and Biostatistics & Health Informatics (BHI). With over 100 Principal Investigators, our research spans development from childhood to old age, encompassing basic research through to the development and implementation of treatments, services and policy. https://www.kcl.ac.uk/mental-health-and-psychological-sciences The Department of Biostatistics and Health Informatics is internationally recognised for its methodological innovation and application to mental health, neuroscience, and other health domains. We are committed to open science, interdisciplinary research, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical Modelling and Health Informatics: https://www.kcl.ac.uk/study/postgraduate-taught/courses/applied-statistical-modelling-health-informatics About the role: Lecturer in Digital Health, Health Informatics and Artificial Intelligence This is an exciting opportunity to join one of the UK’s leading centres for health data science and methodological innovation. The Department of Biostatistics and Health Informatics (BHI) at King’s College London is internationally recognised for its research excellence at the intersection of data science, artificial intelligence, and mental health. Our work spans methodological development and real-world application, driving improvements in health outcomes and healthcare delivery. This 50% Education / 50% Research lectureship offers the opportunity to make a distinctive contribution to our teaching programmes while developing a high-quality, independent research portfolio in digital health, artificial intelligence, and health informatics. The postholder will play a key role in our award-winning MSc in Applied Statistical Modelling and Health Informatics (ASMHI), contributing to programme and module leadership, course delivery, and curriculum enhancement. Working collaboratively with an experienced and supportive team, you will help shape the future direction of postgraduate education in this rapidly evolving field. You will also develop your own research programme, with opportunities to collaborate across King’s—including the AI Institute, the School of Mental Health & Psychological Sciences, and our NHS and industry partners. We particularly welcome candidates whose expertise complements existing departmental strengths in machine learning, multimodal data integration, digital phenotyping, and trial emulation using electronic health records. This is a full-time post (35 hours per week) offered on an indefinite contract. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development, in line with the Concordat to Support the Career Development of Researchers. Further information is available from the Centre for Research Staff Development. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or equivalent) in a relevant discipline such as health informatics, computer science, data science, biostatistics, or a closely related field. Proven ability to design, deliver, and assess high-quality teaching for postgraduate students, in-person and/or online, in areas relevant to digital health, AI, or health informatics. Excellent communication skills with the ability to explain complex concepts clearly to students from diverse academic backgrounds. Experience of supervising postgraduate research projects. Experience of curriculum development and innovation, including creation of inclusive teaching materials and assessment design. Strong track record of research in digital health, artificial intelligence, health informatics, or related methodological areas, demonstrated through peer-reviewed publications. Evidence of ability to establish an independent research programme, including experience of contributing to competitive funding applications. Desirable criteria Fellowship (or higher) of the Higher Education Academy, or commitment to achieving it within probation. Experience of pedagogical research or scholarship in higher education. Track record of interdisciplinary collaboration, particularly with clinical, NHS, or industry partners. Experience of educational leadership or programme management or demonstrable potential to take on such responsibilities. Experience of working with sensitive health data, including governance and ethical considerations. 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 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 provisionally due to be held in December 2025. Grade and Salary: £53,947 - £58,426 per annum, including London Weighting Allowance     Job ID: 130665 Close Date: 09-Jan-2026 Contact Person: Dr Ewan Carr     Contact Details: ewan.carr@kcl.ac.uk

School of Science, Technology & Engineering | UniSC Moreton Bay, Petrie or UniSC Sunshine Coast, Sippy Downs Level C $140,415 - $161,809 p.a., plus up to 17% employer superannuation Full-time, ongoing appointment The School of Science, Technology and Engineering (SSTE) School of Science, Technology and Engineering: Addressing global challenges for a better tomorrow! The School of Science, Technology, and Engineering (SSTE) is a leader in addressing global challenges through STEM education, equipping students with the skills to develop innovative, sustainable solutions. Our Engineering Discipline is a growing hub of research and teaching excellence, with strengths in sustainable building, renewable energy, advanced manufacturing, and more. Collaborating with the ARM-Hub and industry partners like Veolia and SMEC, we bridge academic and practical expertise. UniSC ranks above the national average for student experience, with 86% of our engineering graduates securing full-time employment (QILT Survey 2021). We are expanding programs, including new offerings at our Moreton Bay Campus, and exploring postgraduate qualifications to meet future needs. The Opportunity We are seeking a Senior Lecturer (Level C) in Machine Learning to join the Technology Discipline. In this role, you will deliver high-quality teaching across undergraduate and postgraduate programs, applying contemporary pedagogical approaches to enhance student engagement and employability. You will also contribute to curriculum development and assessment design, ensuring that graduates are equipped with the skills to excel in AI, machine learning, and applied digital technologies. In addition, you will build a strong research profile through publications, grant applications, and supervision of Honours and HDR students. You will engage with industry partners, professional communities, and the wider University to foster collaborative projects, advance digital innovation, and contribute to the strategic development and governance of the School. For more information please visit us online: School of Science, Technology and Engineering You will: deliver high-quality teaching across undergraduate and postgraduate programs in machine learning, AI, and related areas; build your research profile through publications, grant applications, supervision of Honours and HDR students, and collaboration with industry or professional communities; engage with industry, community, and university stakeholders to develop partnerships, enhance student experiences, and contribute to impactful digital transformation initiatives; and contribute to the strategic development, governance, and service activities of the School and Discipline. About you: You are an experienced academic or professional in machine learning or AI with a passion for student-centred teaching and applied research. You excel in delivering engaging learning experiences, supervising research students, and building strong industry partnerships. You are collaborative, innovative, and committed to advancing both the discipline and UniSC’s strategic objectives. You will possess: Completion or near-completion of a doctoral qualification in machine learning, AI, or a closely related field; Proven record of high-quality teaching in machine learning, AI, or digital technologies, including curriculum development and student engagement; Established track record in research, publications, and HDR supervision; Experience engaging with industry or professional communities, and contributing to academic governance; and Excellent communication, interpersonal, and collaborative skills. Desirable Experience in academic leadership or program coordination within a university. Strong connections with industry partners, professional bodies, or research networks. UniSC is an equal opportunity employer, committed to diversity and inclusion. We encourage applications from all backgrounds, including those with disabilities, women in STEM, First Nations Peoples, and individuals of diverse cultures, genders, abilities, and experiences. We value achievement relative to opportunity and encourage your commentary on your achievements in this context. For additional support during the application process, please contact us at unisc-careers@usc.edu.au or call +61 7 5430 2830. Position Description: Senior Lecturer in Machine Learning PD UniSC values a diverse and talented workforce and invites applications from candidates who already have legal work rights in Australia. All applications must be lodged through the Careers at UniSC website. UniSC does not accept unsolicited applications. For agency inquiries, contact unisc-careers@usc.edu.au Applications for this position close midnight, Sunday 25 January 2026.  Your completed application must include: a resume, and a response to selection criteria. Noting that within the application form, we will request a statement addressing each of the selection criteria contained within the position description. Further information regarding how to prepare your application is available on our website: Join our team. We would love the opportunity to get to know you better, but we know it works both ways. To get to know a little more about us, visit us at: Welcome to UniSC and LinkedIn Life Have questions or want to know more? For a confidential discussion, please contact: Professor Aman Oo Dean, School of Science, Technology and Engineering – School of Science, Technology and EngineeringEmail: amaungthanoo@usc.edu.au    Please note that the University will be closed for the Christmas period from 25 December 2025 to 5 January 2026.  Discover UniSC We're all about doing work that matters, connecting with great people, and being part of an incredible journey. We’re not the biggest university. But we’re growing every day, and doing big things. Like ground-breaking research, championing sustainability, producing gold-winning athletes and award-winning alumni. We're one of the fastest growing universities in Australia, growing to over 2,000 people across 5 campuses in South East Queensland. Teaching excellence is at the heart of what we do, and our commitment to sustainability is integrated into our teaching, research, and daily operations. According to the 2024/25 Good Universities Guide we have five-star ratings from key areas including teaching quality, overall educational experience, learning resources, skills development, social equity, student support and learner engagement. Overall for teaching quality, we’re number one in Australia (postgraduate), and number one in Queensland (undergraduate). Our research tackles the most pressing challenges of our time, with 13 research fields ranked well above world standard, characterised by evidence of outstanding performance according to the Excellence Research for Australia Rankings. In 2024,  we moved 97 places to be in the top 110 institutions in the prestigious Times Higher Education (THE) Young University Rankings (2024). At UniSC you will have the opportunity to shape the educational landscape and inspire the minds of future generations. We foster a collaborative and supportive environment, encouraging continuous professional development and providing resources to enhance your teaching and research endeavours. We recognise and value the contributions of each team member to our culture and success. We're not afraid to be different, and we're looking for people who share our values and want to be part of a team that is working together to improve our local and global challenges. Our Culture & Benefits: Our collaborative, passionate and welcoming culture is what really sets us apart. Modern teaching & research facilities. Professional development and career pathway opportunities. We are a proud recipient of the prestigious Athena SWAN Bronze Award, granted as part of the Science in Australia Gender Equity (SAGE) initiative. Flexible work arrangements & generous leave options. Salary packing options + 17% Super. EAP, fitness passport & discounted private health.