London School of Hygiene and Tropical Medicine

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/. Applications are now invited for the following post: Associate Professor of Teaching / Assistant Professor of Teaching / Senior Lecturer School of Graduate Studies (Post Ref.: 25/30) The School of Graduate Studies (GS) is established for strengthening the central support for postgraduate programmes as well as the monitoring of their quality in alignment with the University’s strategic direction of expanding and providing quality postgraduate education. The GS is expanding its scope of research and knowledge transfer programmes in promoting multidisciplinary and interdisciplinary research and development projects related to Policy Studies and Management, Health Studies, International Higher Education, Policy and Management and Urban and Housing Studies. The GS is searching for staff who can support research, teaching and knowledge transfer activities in the following areas: Education Management Internationalisation and Quality Management in Higher Education International Higher Education Public Management and Administration Public and Social Policy Research Methods The appointees will be mainly responsible for (a) engaging in teaching and learning activities; (b) supporting academic programme coordination and management; (c) organizing research events (e.g., conferences and seminars) and knowledge transfer activities; and (d) contributing to other administrative matters as assigned by the supervisors. General Requirements Associate Professor of Teaching Applicants should have (i) a PhD degree in the related discipline; (ii) at least five years of relevant experience in teaching; and (iii) track record in academic programme development and/or management. Assistant Professor of Teaching Applicants should have (i) relevant postgraduate qualifications in the related discipline; and (ii) substantial relevant work experience in programme co-ordination and teaching, preferably at postgraduate level. Senior Lecturer Applicants should have (i) relevant postgraduate qualifications in the related discipline; (ii) substantial relevant experience (normally not less than 8 years), and (iii) experience in course development. For all of the above posts, applicants should have strong interpersonal, organizational, communication and presentation skills. Preference will be given to candidates with strong track records in teaching and programme management in the above-mentioned areas. Evidence of contributions to the scholarship of teaching, in the form of teaching-related grants, publications and conference presentations, will be viewed positively. The appointees are expected to have a strong commitment to teaching excellence and services to the GS and the University community. Please indicate in your cover letter the post(s) you are applying for. Appointment The conditions of appointments will be competitive. The rank and 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. For the post of Associate Professor of Teaching or Assistant Professor of Teaching, appointments will normally be made on a fixed-term contract of up to three years. For the post of Senior Lecturer, appointment will normally be made on contract basis for up to two years. Application Procedure (online application only) 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.

Description The Center for Behavioral Institutional Design, New York University Abu Dhabi, seeks to recruit several postdoctoral researchers interested in exploring the origins of human behavioral diversity, developing empirically-informed models of human behavior, and designing innovative institutions and policies for promoting social welfare. C-BID offers a vibrant and stimulating research environment, with opportunities to engage in high-impact projects and collaborations. Postdoctoral researchers join an active international community of scholars and fellow postdocs and benefit from a world-class seminar series. The Center also hosts numerous workshops, conferences, and other academic events that foster collaboration, idea exchange, and visibility, providing an exceptional platform for advancing researchers’ work and academic careers. The ideal candidate is highly ambitious, well-trained, self-motivated, hard-working, equally capable of working alone and as part of a team, and holds a PhD in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally, a combination of these methods. Excellent communication skills in English, the ability to work in multidisciplinary teams, and scientific creativity are essential. Successful applicants are expected to publish research in leading peer-reviewed journals in social science or leading interdisciplinary journals, and work both individually and in close collaboration with the C-BID team: Olivier Bochet, Nikos Nikiforakis, and John Wooders. The position provides a salary higher than internationally competitive rates for postdoctoral research positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. Appointments will be for two years, renewable for at least one additional year conditional on a satisfactory evaluation of performance. Applications will be accepted on a rolling basis and candidates will be considered until the positions are filled. To be considered, applicants must submit a cover letter, a curriculum vitae, a research statement highlighting past and current research experience, a transcript and at least two reference letters, all in PDF format. Note that this position is NOT located in the United States. You must be willing to relocate to Abu Dhabi, UAE. For any questions, please email: Nikos Nikiforakis (n.nikiforakis@gmail.com) or John Wooders (john.wooders@nyu.edu). 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.

Role type: Full-time; Continuing Faculty: Science Department/School: School of Mathematics and Statistics Salary: Level of appointment is subject to qualification and experience Level B: AUD $124,656 -$148,023 p.a. Level C: AUD $152,695 -$176,065 p.a. Level D: AUD $183,859 - $202,556 p.a. plus 17% super(retirement savings system/pension scheme) Develop innovative statistical methods for complex 'omics datasets. Apply now to join a world-class school in a leading University. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. The University of Melbourne provides an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in the Melbourne Integrative Genomics research hub, optimisation researchers in the ARC Training Centre OPTIMA, biological systems modelling or quantum biotechnologies in the ARC Centres MACSYS and QUBIC, as well as applied and theoretical approaches to data science in other departments/faculties across the University.Your next career opportunity The School of Mathematics and Statistics invites applications for a Lecturer/Senior Lecturer, or Associate Professor from dynamic individuals at the forefront of 'omics technologies. The appointment will be at Level B, C, or D (Lecturer, Senior Lecturer, or Associate Professor), depending on the candidate's previous experience. The research will develop and apply statistical methods to complex 'omics data such as genomics, transcriptomics, and microbiome data, with encouragement for work in statistical machine learning. We seek a candidate whose profile complements the School's strengths in data science, including mathematics, statistics, machine learning, optimisation, biostatistics, and genomics. A strong commitment to high-quality teaching and supervision of undergraduate, MSc, and PhD research students is essential. You will be affiliated with Melbourne Integrative Genomics (MIG), a University initiative focused on pioneering statistical methods for omics data. Your responsibilities will include: Conduct Innovative Research: Lead a research programme in statistical genomics, publish in high-impact journals, and secure external funding. Deliver High-Quality Education: Develop and teach statistics and data science courses at undergraduate and postgraduate levels. Supervise Research Students: Guide MSc and PhD students in their research projects, fostering the next generation of data scientists. Engage in Interdisciplinary Collaboration: Work with researchers across the university on cutting-edge projects in bioinformatics and machine learning. You may be a great fit if: You have a strong statistics background and expertise in computational biology to establish and lead a high-level research program. You may also: Hold a PhD in statistics or a closely related discipline. Have a strong publication record in statistical learning applied to large biological datasets. Demonstrate the ability to secure research funding through competitive grant schemes. Possess excellent teaching skills and the ability to develop curriculum in data science. Have experience in supervising graduate students and fostering their academic growth. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - "School of Mathematics and Statistics" The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. The School of Mathematics and Statistics has a total of 90 continuing teaching and/or research staff; 37 research only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students.The School has had 10 staff members inducted as Fellows of the Academy of Science. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities. The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods.To discuss your specific requirements, please feel free to contact Bec Tucker - 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au.You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne. For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerringIf you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au. Working at the University - what you need to know This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures. Please note: Visa sponsorship is available for this position. Join Us and unlock your career potential! Is this the perfect opportunity for you? Apply today! Including the following documents: Resume Cover Letter outlining your interest and experience The responses against the Selection Criteria^ (found in the Position Description) ^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address. If you have any particular questions regarding the job please follow the details listed on the Position Description. Applications close: 2 February 2026, 11:00 PM / Melbourne time zone. Position Description:JR-001551 Lecturer Senior Lecturer Associate Professor in Statistics for Omics_PD.pdf