Bohol Island State University

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

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... University Assistant postdoctoral 60 Centre for Teacher Education Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5674 With 27 teaching subjects, one specialization and over 11,000 student teachers, the University of Vienna is the largest teacher training institution in Austria. At the Centre for Teacher Education (ZLB), we are working to bundle and further develop the various initiatives to improve the quality of teacher education. Together with the faculties and centres involved in teacher education and the universities of teacher education within the North-East Network, future teachers are prepared for the changing needs of a modern school and are enabled to contribute to shaping the learning and living environment of schools on the basis of scientific expertise.  Your personal sphere of play: The position is located in the field of Educational Sciences at the Center for Teacher Education (Chair of School Pedagogy with Special Consideration of Social, Linguistic and Cultural Diversity). The department deals with questions of school participation, inclusion and equal opportunities. We investigate how education systems, schools and teaching create conditions that can promote or limit the learning, well-being and development of children and young people. In doing so, we look at individual development processes as well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines education in all its complexity. The position is limited to 1 year. Your future tasks: Active participation in research, teaching & administration, which means: Participating in research projects/scientific studies International publication and lecturing activities Project applications and third-party funding acquisition Independently holding courses in accordance with collective agreement provisions Student supervision Participation in evaluation measures and quality assurance Participation in research, teaching, and institute administration This is part of your personality: Relevant doctorate/PhD Technical expertise in the field of school pedagogy and diversity/inclusion Relevant publications in renowned, subject-specific media (peer-reviewed; Q1) National & international lecturing activities Experience in managing externally funded projects Experience in securing external funding Knowledge of university processes and structures Excellent methodological skills in the field of empirical educational research (quantitative research, qualitative research, systematic reviews/meta-studies) Didactic skills in the field of university teaching Teaching experience in the field of teacher training Experience in student supervision (supervision of master's theses) High level of written and oral communication skills Very good written and spoken German and English skills Ability to work well in a Team What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (full-time basis) (14 times a year) for a period of X years / X months increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree  Contact details of persons who could provide reference letters Via our job portal/ Apply now -  button If you have any questions, please contact: Susanne Schwab susanne.schwab@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: 06/30/2026  Post Doc

The McCarthy Lab has an exciting opportunity for a prospective Research Technician who is interested in synthetic biology approaches to engineer biofilms to better tackle environmental challenges. You will be joining a highly interdisciplinary project, where we will blend synthetic biology, environmental engineering, and biotechnology to develop disruptive solutions to major environmental challenges. Experience with advanced cloning systems, CRISPR tools, metagenomic mining and the use of different biofilm imaging platforms is highly desirable. There will be a particular focus on developing approaches to harness bacterial community behaviours like biofilm formation to better tackle environmental pollutants such as waste plastics. Our aim is to leverage cutting-edge advancements in synthetic biology and biofilm engineering to develop innovative strategies for bioremediation, with a key focus on scalable solutions that can be readily adopted by the waste and water sectors.  This fast-paced project will give the successful candidate the opportunity to develop new skills by working closely with our interdisciplinary team and build their international profile including through research visits to academic collaborators and working with SMEs. The successful candidate will be responsible for accurate and efficient data generation, data management, collation and the reporting of results to the project lead. The post-holder will need to demonstrate excellent attention to detail, organisational, team working and communication skills and have a keen interest in drafting research outputs for peer-review publication. The successful applicant will work closely with other researchers within the McCarthy Lab and with other EBIC partners. There will also be opportunities to explore the commercial  Applicants must have a BSc or MSc in a relevant discipline. Experience and knowledge in the field of biofilm formation is essential. Experience in some or all of the following: advanced cloning systems, CRISPR tools, metagenomic mining and the use of different biofilm imaging platforms is highly desirable. They should be enthusiastic, well motivated and be able to work both independently and collaboratively. This position is available for 32 months. Please include one paper or preprint that illustrates research skills that are relevant to this project.  We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity. Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton.