Guangzhou University

Full time fixed term for 2 years at Cobbitty, Camden Campus Opportunity to conduct research applying computational biology and AI modelling to plant-pathogen interactions Base Salary $113,400 - $121,054 + 17% superannuation About the opportunity The School of Life and Environmental Sciences (SOLES) at the University of Sydney is seeking to appoint a Postdoctoral Fellow in Computational Biology and AI Modelling to be based at the Plant Breeding Institute on the University's Camden Campus. SOLES has an international reputation for education and research, with well-funded external research collaborations across industry. The University of Sydney has significant strengths in plant breeding, crop production, plant biology and genetics, and agricultural robotics. This role offers an exciting opportunity for a highly motivated computational biologist to join a multidisciplinary research team investigating plant-pathogen interactions through integrative computational modelling. You will develop and apply quantitative and data-driven models to study protein interactions and their context-dependent behaviour, linking computational predictions with condition-specific biological responses. You will have access to large-scale biological datasets, high-performance and cloud-based computing resources, and work in close collaboration with experimental biologists and external computational partners. The successful applicant will demonstrate clear potential to become a leader in their field, with a strong research trajectory focused on computational modelling of molecular interactions and regulatory processes to generate mechanistic insight into host-pathogen biology. Your research interests will complement and/or enrich existing strengths in the Institute and School in plant breeding, molecular biology, genetics and pathology. You will contribute to current research programs, particularly in resistance gene and avirulence gene cloning, functional studies, and host-pathogen interactions, and articulate a clear vision for collaboration within SOLES, across the University of Sydney and beyond. Your key responsibilities will be to: develop and apply computational models to investigate protein-protein and protein-ligand interactions in plant-pathogen systems integrate diverse omics datasets to infer molecular interactions and regulatory processes design, implement and maintain reproducible, scalable computational pipelines for large biological datasets optimise workflows for high-performance computing (HPC) and cloud-based environments collaborate closely with experimental research teams to translate model outputs into testable biological hypotheses contribute to scientific documentation, including high-impact publications, research grant applications and reports present research findings at national and international scientific conferences. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoc Research Associate - Computational Biology who has: a PhD in bioinformatics, computational biology, systems biology, or a related discipline strong proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing reproducible workflows in HPC and/or containerised environments strong analytical capability, scientific ownership and a track record of high-quality research publications a clear vision for how your research complements and/or enriches the strengths of the School and Institute demonstrated experience in successful collaborative research projects (advantageous) excellent written, oral and interpersonal communication skills, with strong time management capability. Desirable experience familiarity with structure-informed or interaction-prediction modelling approaches experience integrating computational analyses with experimental or functional validation demonstrated experience in protein-centric analyses, including protein interaction networks, signalling pathway modelling, proteomics or protein target screening background or demonstrated interest in plant biology or plant-pathogen molecular interactions familiarity with molecular cloning techniques. To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus. Work Rights You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community that reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Deepna Chand, Recruitment Operations by email to recruitment.sea@sydney.edu.au . © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Monday 27 April 2026 11:59 PM

Ref.: 534801 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for a joint Post-doctoral Researcher in the Faculty of Social Sciences (FOSS) at The University of Hong Kong (HKU) and Institute for Social Research (ISR) at University of Michigan (U of Michigan) (Ref: 534801), to commence as soon as possible, on a temporary term of one year, with the potential for a second year in ISR at U of Michigan. Background The Faculty of Social Sciences and Institute for Social Research are collaborating to foster cutting-edge areas in social sciences research. This joint post-doctoral researcher aims to support the next generation of leading social sciences researchers, by enabling them to develop a range of research skills in different contexts, working with mentors with different disciplinary and substantive expertise in the social sciences. The successful candidate will have the chance to work with leading researchers (mentors) in both FOSS and ISR to develop his/her research ideas and skills for a future career in academia or another research setting. He/She will work at HKU in the first year and is expected to spend the second year at U Michigan. He/She will be required to complete the necessary administration procedures (including recruitment, visa application) for taking up an appointment at U of Michigan, pursuant to relevant terms of employment. Duties and Responsibilities Produce high quality research on the research priorities and clusters of both FOSS (HKU) and ISR (Michigan) Support FOSS and ISR colleagues in research dissemination events Assist FOSS and ISR colleagues in the preparation of research reports Perform other research related duties for FoSS and ISR Requirements a Ph.D. degree in social sciences discipline from a recognized university, awarded within the past three calendar years, or expected to obtain a Ph.D. degree by the start of the fellowship (no later than December 1, 2026). Documentary proof of qualification may be required an outstanding record of research performance, with a research area that aligns with the focus of FOSS (HKU) and ISR (Michigan) good interpersonal, communication, organizational and problem-solving skills the ability to work under tight schedule to meet project deadlines the capability to work both independently and as part of a team experience with advanced social sciences research methods Applicants should indicate which mentors from FOSS (HKU) and ISR (Michigan) they could work with. There is no need to get their interest and support in mentoring before making application What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, medical benefits, etc. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload the following documents at the University’s Careers site (https://jobs.hku.hk). A thesis abstract (up to 1 A4 page); A brief cover letter addressing the job requirements (up to 2 A4 pages); A key research output (if available); A research proposal (up to 2 A4 pages); A brief Curriculum Vitae (up to 2 A4 pages); Letters of support from the mentors (one from each of FOSS and ISR); and Names and contact details of three references, including one from their Ph.D. supervisor/advisor. Review of applications will start as soon as possible and continue until April 30, 2026 or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

As one of Europe’s leading research universities, Ludwig-Maximilians-Universität (LMU) in Munich is committed to the highest international standards of excellence in research and teaching. Building on its more than 500-year-long tradition, it offers a broad spectrum that covers all areas of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences. The Faculty of Languages and Literatures invites applications for a Professorship (W2) (6 years/tenure track)  of Comparative Literature and Literary Theory commencing as soon as possible. The applicant’s work in the field of Comparative Literature must be indicative of philological expertise in at least two different languages. Research interests in literary theory and/or aesthetics as well as literary multilingualism are required. A focus on English-language literature is also desirable. LMU Munich seeks to appoint a highly qualified junior academic to this professorship and, therefore, especially encourages early-career scholars to apply. Prerequisites for this position are a university degree and a doctoral degree or a comparable specific qualification, preferably in Comparative Literature. With an excellent record in research and teaching to date, prospective candidates will have demonstrated the potential for an outstanding academic career. The initial appointment will be for six years. After a minimum of three years, it can be converted into a permanent position pending a positive evaluation of the candidate’s performance in research and teaching as well as his or her personal aptitude and if all legal conditions are met. Under the terms of the LMU Academic Career Program“, in exceptional cases and subject to outstanding performance in research and teaching, the position may be converted from a W2 into a W3 Full Professorship at a later date. LMU Munich makes a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples. LMU Munich is an equal opportunity employer. The University continues to be very successful in increasing the number of female faculty members and strongly encourages applications from female candidates. LMU Munich intends to enhance the diversity of its faculty members. Furthermore, disabled candidates with essentially equal qualifications will be given preference. Please submit your application comprising a curriculum vitae, documentation of academic degrees and certificates as well as a list of publications and teaching to the Dean of the Faculty of Languages and Literatures, Ludwig-Maximilians-Universität München (Geschwister-Scholl-Platz 1, D-80539 Munich, Germany), preferably via email in one single PDF-file to dekanat13@lmu.de, no later than 28 April 2026.