Heilongjiang University

Dean of Research The Dean of Research is a new senior leadership position within the Sharjah Education Academy. The purpose of the position is to provide leadership to shape and guide SEA’s research strategy. The Dean of Research will ensure that the Academy’s research is rigorous, socially relevant, and regionally transformative. The role is one of three Dean positions (Dean of Research, Dean of Education, Dean of Continuous Professional Learning) reporting to the Deputy Vice Chancellor (Academic) and will work collaboratively with other senior administrators and academic leaders to develop and implement the Academy’s research strategy and plan, build research capability across the institution and establish a strong, distinctive doctoral program. The incumbent will be an established and dynamic academic leader with a distinguished track record in research leadership in an education-related field. The Dean of Research will play a pivotal role in driving SEA’s impact on education transformation nationally and within the GCC region. Experience in the UAE/GCC region and bilingual proficiency (Arabic and English) will be highly regarded. Key Responsibilities include: Research strategy and leadership: Develop and execute the Academy's research strategy, promote a strong research culture, and increase research activity and performance in the Academy’s core area of focus. Research quality: Develop, monitor and evaluate research quality across the Academy. Capability building: Lead the development and implementation of research capability and doctoral supervision programs aligned to international good practice. Funding and resource management: Secure local and international research funding and partnerships to drive the Academy’s Strategic vision and plan, manage research budgets, and oversee grant submissions and research project proposals. Postgraduate research: Oversee higher degree by research (HDR) programs, coordinate admissions, and support research capability building programs for staff and students. Collaboration and partnerships: Facilitate cross-institutional collaboration, and build relationships with industry, government, and other external stakeholders to enhance research impact. Institutional effectiveness: Coordinate with other Academy leaders to align research initiatives with institutional planning and to measure and report on research outcomes. Representation and advocacy: Represent the Academy on research-related committees and at national and international forums.  Required qualifications and skills: Academic credentials: A PhD in a relevant field to the Academy’s work  and a strong research track record, ideally in quantitative/mixed method education related research. Strategic thinking: The ability to develop and implement strategic plans aligned with institutional priorities. Leadership: Proven ability to lead teams and provide strategic direction. Communication: High-level interpersonal, communication, negotiation, and advocacy skills and experience leading initiatives with diverse stakeholders. Management: Experience in budget management and resource allocation. Preferred skills and expertise: Languages: Bilingual (Arabic/English) Local knowledge: Relevant experience in the UAE/GCC region. Application Process: Interested candidates are kindly requested to submit the following in PDF only: Curriculum vitae (CV) Please submit these documents to careers@sea.ac.ae

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University Assistant predoctoral 49 Faculty of Social Sciences Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2027 Reference no.: 5675 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international research and scientific excellence. Ready to be part of our team? Welcome aboard! Your personal sphere of influence: As a Predoctoral University Assistant, you work as a member of the team led by Professor Peter Schweitzer at the Department of Social and Cultural Anthropology. The research focuses is on the topics of climate change, structural transformation and the Alpine region. We are looking for a person with relevant research interest (dissertation topic), first research and publication experience and excellent language skills in German and English (both at least C1 level) As part of the Faculty of Social Sciences, the Department of Social and Cultural Anthropology not only brings together renowned scientists and students, but also different research areas, a variety of ethnographic methods, a large number of outstanding research projects and appreciative collegial exchange. The employment is limited to 15 months; an extension is not possible. This is a part-time position; working time is 30 hours per week. Your future tasks: You actively participate in research and teaching which means: You actively contribute to interdisciplinary research focusing on the topics of climate change, structural transformation and the Alpine region. You work on the finalization of your dissertation. You teach courses independently in accordance with the scope of the collective bargaining agreement. You supervise your students. You are involved in evaluation measures and quality assurance. You take on administrative tasks in both research and teaching. This is part of your personality: Qualifications:  Completed Master's degree or Diploma, in the field of Social and Cultural Anthropology or a related field of study Outstanding master's thesis and excellent academic success Fieldwork experience in in the Alpine region Experience in the implementation of interdisciplinary research projects Basic experience in academic writing, presentations and various research methods Excellent command of written and spoken German and English (both at least C1 level) Team player with strong social and communication skills Didactic skills and/or experience in lecturing and/or teaching are desirable What we offer: Work-life balance: You have flexible working hours and can sometimes work remotely. Inspiring working atmosphere: You will be part of an international team with excellent research infrastructure in a relaxed working environment. Good public transport links: Your new workplace is easily accessible by public transport. Internal training and coaching: We offer you the opportunity to develop your skills on an ongoing basis. Fixed-term contract and fair salary: The basic monthly gross salary is EUR € 3.776,10 (on a full-time basis). The basic salary increases if we can credit prior professional experience. The employment duration is 15 months and cannot be extended. Equal opportunities for all: We welcome every additional personality to the team! It's that easy to apply: With the following documents: Your academic CV (including list of publications) in English A letter of motivation in German A summary of your dissertation topic (max. 1 page) in English Contact details of persons for references Proof of completed master's degree and university reports/certificates Via our job portal / Apply now button If you have any questions, please contact: Peter Schweitzer peter.schweitzer@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 06/21/2026  Prae Doc

Role type: Full time, Fixed Term (3 years) Faculty: Faculty of Science School: School of Mathematics and Statistics Salary: Level A: $85,555 - $116,094 p.a. plus 17% super Level B: $122,212 - $145,121 p.a. plus 17% super ARC funded stochastic optimisation project on correlated restless bandits / collaborate with leading international investigators / develop independent research profile Join us to shape new theory and applications in stochastic optimisation and mentor emerging researchers. Investing in you - 17% superannuation, 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. Discover more via our website. Your next career opportunity You will join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models. You will collaborate with leading investigators across Melbourne, RMIT and Spain, developing your independent research profile. You will also co-supervise research students and contribute to teaching within a world-class mathematics school. What you will deliver: Conduct high quality research in stochastic optimisation, focusing on theory and applications of correlated restless bandit models. Collaborate closely with chief investigators and research partners to design studies, analyse results and publish impactful outputs. Prepare and contribute to competitive grant proposals and related research documentation under guidance from senior academics. Co-supervise and mentor postgraduate and honours students, supporting their research training and academic development. Present research at seminars and conferences, and participate in School service, outreach and diversity activities. You may be a great fit if you: Hold or submit a PhD in mathematics, optimisation, stochastic modelling or a closely related quantitative discipline. Demonstrate strong expertise in stochastic optimisation, including experience applying advanced methods to complex modelling problems. Bring experience contributing to research projects, from problem formulation to analysis, publication and dissemination of findings. Contribute to supervision or mentoring of undergraduate or postgraduate research students in mathematical or related fields. Work effectively within collaborative research teams while also progressing individual projects with limited supervision. Communicate research clearly in English, both in writing and presentations, to academic and broader audiences. 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 fulfilment, including: Build future financial security with 17% superannuation Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company 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 Joining the School of Mathematics and Statistics, you will contribute within one of Australia's leading mathematical sciences communities. The school hosts numerous ARC-funded centres and fellows, with outstanding infrastructure and strong international research collaborations. Within the Faculty of Science, you will join a diverse, supportive environment that values curiosity, excellence and inclusion. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials: Visit "apply with us" to learn more about the process, including tips and FAQs. This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process. A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you. Please upload your resume and a cover letter outlining your interest and experience as part of the application process. Please upload your responses to the Selection Criteria, found in the Position Description. Want to know more? For queries related to this specific position or for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.au For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Apply today, and join a community that's shaping the future. Applications close: Saturday 11 July 11:55 PM; Melbourne time zone. Position Description: JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.doc JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.pdf