Shaheed Zulfiqar Ali Bhutto Medical University

Role type: Full-time; Fixed-term for 3 years Faculty: Medicine, Dentistry, Health & Sciences School: Melbourne Medical School Salary: $87,266 - $ 118,416 p.a. plus 17% super Lead sophisticated visual neuroscience experiments / Access world-class imaging and microscopy platforms / Build supervision, publishing and grant-writing experience Apply now to drive innovative retina and brain research while expanding your technical, analytical and leadership capabilities. 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 In this role, you will lead sophisticated in vivo and molecular experiments exploring neurovascular communication in vision. You will collaborate closely with experts at CERA and Melbourne Medical School, supervising students and shaping ambitious projects. You will strengthen your publication record and grant-writing portfolio within a highly resourced, innovation-driven research environment. What you will deliver: Conduct advanced in vivo and ex vivo imaging and microsurgery in rodents, focusing on retina, optic nerve and brain. Perform molecular, cellular and histological experiments, including AAV injections, tissue processing, immunostaining and stereological confocal image analysis. Develop and apply image and data analysis pipelines using ImageJ, R, MATLAB and relevant programming languages. Plan, troubleshoot and optimise experiments, maintain meticulous records, and prepare data, manuscripts and grant applications for dissemination. Supervise and train students and lab members, contributing to a safe, well-resourced and collegial laboratory environment. You may be a great fit if you: Hold a PhD in visual sciences, neuroscience or a closely related discipline. Demonstrate a strong publication or funding track record in visual science, neuroscience or related neurovascular fields. Bring substantial hands-on experience in rodent in vivo and ex vivo imaging, microsurgery, eye and brain dissection, and histology. Use advanced microscopy, ImageJ, R, MATLAB and core software such as Word, Excel, Prism and Adobe tools. Exhibit strong organisational skills, independence, problem-solving ability and adaptability within a fast-paced research environment. Preferably offer experience in eye research, neurodegenerative models, transgenic mice and programming, and be available from September 2026. 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 - Melbourne Medical School Joining the Visual Neurovascular Research Unit, you will work within CERA at the Eye and Ear Hospital. You will collaborate with clinicians and scientists across Melbourne Medical School and our broader health and biomedical partners. The team values curiosity, rigour and collaboration, offering strong mentoring, world-class facilities and clear pathways for research independence. 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, contact Luis Alarcon-Martinez at alarconmartinez@unimelb.edu.au For questions related to our recruitment process email Dijana 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: 1 May 2026 11:55 PM; Melbourne time zone. Position Description: PD-JR-011509 Research Assistant.pdf PD-JR-011509 Research Assistant.doc

The Faculty of Social Sciences at the University of Helsinki invites applications for the position of INFORMATION SYSTEMS SPECIALIST for a fixed-term appointment from 11 May, 2026 to 31 March, 2027, or as agreed. We seek an information systems specialist to join the ReliaCode project at the University of Helsinki. Our aim is to make LLMs usable in organisational settings with high reliability requirements, especially for reasoning about complex document collections. We’re building methods to make it easier to tell when LLM outputs can’t be trusted, and to improve systems efficiently from limited human feedback. The work is part of an early-stage initiative based in a university environment, with secured funding and a strong focus on real-world impact through pilot collaborations with organizations. The goal is to iteratively develop a product that could evolve either into a general-purpose platform for unstructured data processing or a focused solution in a specific domain. This role offers a unique opportunity to work at the intersection of research and product, and to help shape the technical direction of a potential startup from the ground up. We are offering a year-long full-time contract with the possibility of continuing afterwards in a potential spin-out company. We are particularly looking for candidates with: Strong Python and software engineering skills Hands-on experience using LLMs in applications, especially with multiple model calls and high reliability requirements Experience evaluating LLM systems, including designing benchmarks and using evaluation signals to identify failures and improve system performance Familiarity with practical ML approaches for ranking or classification with noisy or limited signals Comfort working independently in an early-stage project and taking ownership of open-ended problems The following are seen as advanteges but not necessary: Experience working with unstructured data sources (e.g. documents, long-form text) Familiarity with machine learning or NLP, particularly in areas such as information extraction or human-in-the-loop systems Some experience building and maintaining applications used by others  Familiarity with standard software engineering practices (e.g. version control, code review, testing, iterative development) What we offer The University of Helsinki is an equal opportunity employer and offers an attractive and diverse workplace with a variety of development opportunities and benefits. The monthly gross salary range will be approx. €3,900 – €4,700, depending on the appointee’s qualifications and experience. Further information can be obtained online. The employment contract will include a probationary period of six months. The appointee is expected to reside in Finland while employed by the University of Helsinki.  How to apply Please submit your application through the University of Helsinki Recruitment System via the link "Apply now" (“Hae nyt”). Use your current email address to register to the Recruitment System. Only applicants who are currently employed by the University of Helsinki are requested to submit their application via the link “Employee login”. The closing date for applications is 20 April, 2026.  Further information Further information about the position can be obtained from university researcher Aleksi Knuutila, aleksi.knuutila@helsinki.fi. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.