Artesis Plantijn University College

We seek high calibre highly motivated post-doctoral researchers to join our electronic textiles research program. The positions are funded by the EU (European Union) project: SoftIE – Materials for Sustainable Soft Technologies of Interconnected E-textiles, tackling a fundamental challenge; the lack of a robust connection and interconnects. You will be based in the School of Electronics and Computer Science (ECS) and be part of an EU project consortia developing new materials and processes to achieve sustainable interconnected e-textile systems. You will work in the Printed Electronics and Materials Laboratory and other facilities. Comprehensive training and support will be provided by experienced users, enabling you to develop the skills necessary for the role. Prior experience with the equipment is not essential. You will be invited to travel to project meetings and dissemination activities across the UK and EU. The role will also involve supporting junior research staff and contributing to the planning and delivery of group outreach activities. Reasonable adjustments will be made to support candidates for whom travel may present challenges. You will help lead a work package within the project and develop routes to commercialisation for the work as well as strategies for intellectual property protection and exploitation. The roles will involve research on the following topics. Novel printed copper ink formulations and other conductive materials. Novel sustainable adhesive materials. E-Textile device manufacturing, focusing on improving durability and reliability.  Design and assembly of E-Textile demonstrators.  To be successful with your application, you will need to demonstrate:  A PhD in an appropriate area related to one or more of the roles described above. Excellent experimental research skills with a strong publication track record in high-quality international journals Excellent communication and organisational skills, and a proven ability to work well within multidisciplinary teams. And a willingness to: Help with the supervision of PhD students. Contribute to commercialisation of these technologies. Contribute to group and project outreach activities. Ranked in the top 1% of universities worldwide, we’re bold, progressive and keen to push the boundaries. We encourage and support our researchers to pursue their research and engage in other activities, such as teaching, public engagement and enterprise, to build a rounded portfolio of accomplishments. Your success is our success, and it is in our interest to foster your development and support you to become the next generation of research leaders in your field.  As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. Athena SWAN silver award recognised, we’re committed to improving equality for women in science and engineering, so we’ll help you find a good work-life balance with flexible or even part-time working hours, with a workload adjusted accordingly. ECS provides a unique, friendly and supportive environment. We have a range of staff development programmes and a unique mentoring and wellbeing scheme. Visit https://www.ecs.soton.ac.uk/workinghere to find out more about working in ECS.  The appointments are for an initial 1-year period with available funding for up to 3 years. Informal enquiries should be directed to Dr Russel Torah (rnt@ecs.soton.ac.uk) and Dr Jessica Pereira (H.J.Pereira@soton.ac.uk).

Ref.: 536545 Work type: Full-time Department: Department of Architecture (01100) Categories: Professoriate Staff Applications are invited for appointment as Assistant Professor in Landscape Architecture in the Division of Landscape Architecture, Department of Architecture (Ref. 536545), to commence in 2027 or as soon as possible. We seek a productive and creative scholar whose research, teaching, and practice engages in critical dialogue with core concepts, histories, theories, and methods in the field of landscape architecture. Appointments will be made on a three-year fixed-term basis with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. Qualifications: Applicants should hold a terminal degree in Landscape Architecture and preference will be given to those holding professional qualifications and/or a Ph.D. in Landscape Architecture, or to those who have experience in award-winning professional or creative practice. They should demonstrate an emerging record of research, teaching, and design through their scholarship and creative work as evidenced by peer review and successful funding applications. As the Division continues to build regional and international links with academic institutions and innovators working at the intersection of landscape architecture, ecology, and technology, applicants who have of potential for building such partnerships will be favored. Responsibilities: The appointee is expected to pursue a productive and innovative research and design agenda in line with their area of expertise and in support of larger Division educational and scholarly aims. Teaching responsibilities may include core and elective seminars and design studio courses within our Bachelor and Masters programs in landscape architecture. The appointee will also be encouraged to attract and supervise PhD students. Broadly, the successful candidate will help build and sustain our innovation in design research and help deliver innovative teaching and community engagement that builds on ongoing research and pedagogical initiatives within the Division. About the Division: The Division of Landscape Architecture offers an internationally recognized, rigorous, and dynamic research and teaching environment within the Department of Architecture at the University of Hong Kong. Staff members take an active part in shaping the Division’s culture through both teaching and administrative responsibilities in our undergraduate and postgraduate programmes. While we strive to continue to strengthen our regional leadership in the field of Landscape Architecture, we are actively developing international collaborations and building long-term relationships in greater Southeast Asia and beyond. More information about the Division and the Faculty of Architecture at HKU can be found at https://www.arch.hku.hk/programmes_/dla/. For enquiries about the position, please write to Ivan Valin, Head of the Division of Landscape Architecture (e-mail: ivalin@hku.hk or landscape@hku.hk). Compensation and Benefits: A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. Application: The University only accepts online applications for the above post. Applicants should apply online with the following: Statement of Interest (~2 pages) describing the applicant’s experience and suitability for the position and their future goals for research or creative practice, and teaching. Curriculum vitae Portfolio of Research and/or Creative Practice, and Teaching ( Contact information of three senior academics familiar with the applicant’s teaching and research experience. Review of applications will start as soon as possible and continue until August 5, 2026, or until the post is filled, whichever is earlier.

Role type: Full Time, Fixed Term (15 Months)Faculty: Faculty of scienceSchool: School of Mathematics and StatisticsSalary: Level A: $87,266 - $118,416 p.a. plus 17% superCutting edge AI optimisation research within ARC Training Centre OPTIMA / Strong industry collaboration and real world impact / Collegial, multidisciplinary team at Melbourne ConnectJoin OPTIMA to shape next-generation AI optimisation tools, publish at the highest level, and build industry partnerships.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 drive exploratory research at the intersection of AI and optimisation within ARC Training Centre OPTIMA. You will integrate AI tools into optimisation software, collaborate with industry, and co-supervise talented Masters and PhD students. You will gain mentoring, publishing and networking opportunities in a highly collaborative, multidisciplinary team at Melbourne Connect. What you will deliver:Advance cutting edge research on AI methods for model-based and black-box optimisation aligned with OPTIMA priorities.Develop, test and maintain open-source optimisation tools, integrating AI methods, instance space analysis and MiniZinc where appropriate.Publish high quality journal and conference papers, and present research at seminars, conferences and industry engagements.Co-supervise and mentor honours, Masters and PhD students, supporting timely thesis completion and impactful research outputs.Build collaborations with industry partners and OPTIMA colleagues, contributing to funding proposals, workshops and centre governance activities.You may be a great fit if you:Hold or approach completion of a PhD in applied mathematics, statistics, computer science, engineering or related discipline.Possess strong knowledge of AI tools, including machine learning methods and generative AI platforms, applied to optimisation.Demonstrate research excellence in optimisation or related fields, evidenced by quality publications relative to opportunity.Offer expertise in one or more areas such as operations research, constraint programming, evolutionary computation or machine learning.Show experience supervising or mentoring research students and collaborating effectively within multidisciplinary teams or industry projects.Exhibit potential to contribute to competitive grant applications and to engage productively with external partners and stakeholders.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% superannuationSupportive flexible work arrangements underpinned by our commitment to inclusion and well-beingCareer development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn LearningProgressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leaveSalary 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 CompanyHealth and well-being services including a leading Employee Assistance ProgramFor more information check out our benefits page! Your new team - School of Mathematics and Statistics You will join OPTIMA, an ARC Industrial Transformation Training Centre uniting researchers and industry to tackle complex optimisation challenges. Based in the School of Mathematics and Statistics within the Faculty of Science, you will collaborate with leading experts across mathematics, computer science, engineering and industry. Working from Melbourne Connect, the University's innovation precinct, you will benefit from outstanding facilities, strong mentoring, and a vibrant cohort of postdoctoral fellows and students committed to impactful, collaborative and inclusive research. For more on OPTIMA, visit: www.optima.org.au 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.You must have current valid work rights for Australia. Visa sponsorship is not available for this role.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.auFor 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: Sunday 28 June 2026 11:55 PM; Melbourne time zone.Position Description:JR-013584 OPTIMA Postdoctoral Research Fellow, AI in Optimisation_PD.pdfJR-013584 OPTIMA Postdoctoral Research Fellow, AI in Optimisation_PD.docx