Lund University

Role type:Full Time, Fixed Term for 2 years Faculty: Faculty of Science Department: School of Mathematics and Statistics Salary: Academic Level A.6 - $110.319 p.a. plus 17% super Lead innovative research, bridge quantum computing and omics and shape future of data analysis Apply now to advance the frontier of quantum biotechnology and integrative omics analysis Investing in you - 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 As a Postdoctoral Research Fellow in the L Cao lab, you'll spearhead method development at the exciting intersection of quantum computing and integrative omics. You'll have the opportunity to design, evaluate, and benchmark quantum-inspired computational approaches for analysing high-dimensional biological datasets. Working within the ARC Centre of Excellence in Quantum Biotechnologies (QUBIC), you'll contribute to groundbreaking research, collaborate with leading experts, and shape a new direction in quantum-omics integration. Your responsibilities will include: Lead Methodological Research: Develop innovative quantum-inspired algorithms for omics data analysis and multi-omics integration. Produce High-Impact Outputs: Deliver internationally competitive research through publications, conference presentations, and reproducible software. Foster Collaborations: Work closely with lab members and external partners to translate methodological advances into applied analyses and usable tools. Support Research Training: Co-supervise PhD and masters students, providing guidance on research design, analysis, and scientific communication. You may be a great fit if: You are a highly motivated researcher with a PhD in a relevant field, demonstrating expertise in both omics data analysis and quantum computing methods, with a passion for developing innovative computational approaches to solve complex biological problems. You may also: Have a PhD in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline. Demonstrate research capability in methods development relevant to quantum computing and omics. Possess experience in analysing high-dimensional biological data and applying quantum computing methods to data analysis. Have an active GitHub profile evidencing ongoing code development and contributions. 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: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - "L Cao lab, Melbourne Integrative Genomics (MIG)"https://sites.research.unimelb.edu.au/integrative-genomics| https://lecao-lab.science.unimelb.edu.auL Cao lab is part of Melbourne Integrative Genomics (MIG), which has been established in 2017 and is an initiative to strengthen the involvement of statisticians in the advances being made in genomics and computational biology. MIG is an interdisciplinary research centre for the application of maths/stats/computing techniques to omics profiling data to help understand genotype-to-phenotype process in humans and other organisms. MIG includes 50+ members, and provides a wide range of opportunities for exciting research collaborations. The Parkville precinct has the greatest concentration of biological and medical research in Australia, and is among the greatest internationally.http://www.ms.unimelb.edu.auThe University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We believe 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 reasonable adjustments throughout. We warmly encourage applications from people with disabilities. For assistance, please contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Contact details for other enquiries are located at the bottom of this page. Find more information for applicants requiring reasonable adjustments. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Our Indigenous strategy, Murmuk Djerring outlines our investment and support for Aboriginal and Torres Strait Islander staff and students. Indigenous applicants are encouraged to connect with "Korin-Korin" our Indigenous Employment & Development team at oied-hr@unimelb.edu.au for further information and support. Please note: Visa sponsorship is available for this position. A Working with Children Check (WWCC) is required for all positions. If successful, we'll guide you through the WWCC application process during onboarding and reimburse the cost. Join Us and unlock your career potential If this role is right for you, please apply with the following documents: Resume Cover Letter outlining your interest and experience The responses against the following Selection Criteria^ 1. PhD (or equivalent) in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline.2. Demonstrated research capability in methods development relevant to quantum computing and omics, evidenced through PhD work and associated outputs (for example publications, preprints, software, or technical reports), relative to opportunity.3. Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing, quality control, and interpretation of results.4. Demonstrated experience applying or developing quantum computing methods relevant to data analysis (use of simulators acceptable), with clear understanding of limitations and appropriate evaluation.5. Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions Learn more about the application process, including tips and FAQs. For recruitment queries, email Anna at hr-careers@unimelb.edu.au. Include the Position Number and Job Title in the subject line. Please do not send applications to this email address. For job-specific queries, refer to the contact details in the Position Description. Applications close: 6 April 2026. 11:55 PM; Melbourne time zone. Position Description: JR-009383 Research Fellow Quantum Omics_PD.doc.docx JR-009383 Research Fellow Quantum Omics_PD.doc.pdf

Full-time, Continuing position Salary Academic Level D ($170,080 - $187,373 p.a.) + 17% Superannuation and Flexible Working Arrangements Based at the Melbourne CBD/Bundoora East campuses, with the potential to work across other RMIT campuses About the Role RMIT University is seeking an established Associate Professor in Aerospace Engineering with a strong research leadership profile to join the Department of Aerospace Engineering within the School of Engineering. This role presents an opportunity for a nationally recognised researcher and experienced academic leader to contribute to the continued growth and international reputation of RMIT's aerospace engineering programs. The successful candidate will play a key role in advancing research excellence, strengthening industry partnerships, mentoring emerging academics and HDR candidates, and contributing to the strategic development of the Department and School. The Associate Professor will contribute significantly to the teaching and research efforts of the Department of Aerospace Engineering and the School of Engineering. The incumbent will play an important role in leading high-quality research programs, developing collaborative research teams, and securing competitive external research funding while contributing to the delivery and development of aerospace engineering programs. The successful candidate will embed their research expertise within the life of the School and develop strong, productivity-driven research networks across RMIT and with local, national and global partners. The Associate Professor may also take on program leadership responsibilities, contributing to the development, coordination and continuous improvement of academic programs. RMIT is particularly interested in candidates with research expertise in one or more of the following areas: Propulsion Aerodynamics Aerospace materials and structures Avionics Digital engineering for aerospace systems Space vehicles and systems Crewed and uncrewed aircraft operations Air-traffic control and management (crewed and uncrewed) The Department maintains strong links with major research and industry initiatives, providing excellent opportunities for collaboration and impact. These include partnerships with: Advanced Composites Manufacturing Cooperative Research Centre (ACM CRC) ARC Industrial Transformation Training Centres (ITTC) for High-Speed Propulsion, Rocket and Launch Systems Industry partners across defence, aerospace manufacturing and advanced engineering The Sir Lawrence Wackett Defence and Aerospace Centre The Department of Aerospace Engineering also maintains strong links with RMIT's Aviation Academy, providing opportunities for research related to the operation of a modern training fleet and aviation systems. Researchers are supported by advanced infrastructure including VxLab at the City campus, which houses the Centre for Digital Innovation and advanced simulation technologies such as the Eight360 NOVA Untethered Motion Simulator, enabling immersive simulation of vehicle environments including aircraft and spacecraft. To be successful in this position, you'll have: Demonstrated ability to direct an award program/s and implement program improvements and innovative approaches to student-centred learning and quality improvement programs. Nationally recognised research track record including substantial record of research outputs in high-quality outlets and emerging international recognition with a focus in one or more of the following areas: propulsion, aerodynamics, aerospace materials and structures, avionics, digital engineering for aerospace systems, and related applications including space vehicles and systems, crewed and uncrewed aircraft and their operations, and air-traffic control (crewed and uncrewed). Extensive experience in research leadership with the ability to build and develop collaborative research teams, mentor academic staff to deliver high-quality outcomes, attract and secure external research funding to sustain research effort, manage funded research projects including complex budgets and reporting requirements. Extensive experience in supervising higher-degree-by-research candidates to maximise research performance. Demonstrated ability to lead scholarly development and manage and supervise academic teams and members. Demonstrated understanding of and commitment to financial, governance and quality management systems within a university. Demonstrated high level of interpersonal, communication and negotiating skills including the ability to consult with senior executives, external bodies, produce executive reports, negotiate agreed directions, outcomes and targets within a collaborative environment. Proven ability as an effective member of a management team that develops and achieves shared goals and objectives. Qualifications Mandatory: PhD or equivalent in a relevant field. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the RMIT School of Engineering The School of Engineering comprises a diverse range of departments: Aerospace Engineering; Chemical & Environmental Engineering; Civil & Infrastructure Engineering; Biomedical Engineering; Electrical & Electronic Engineering; and Mechanical, Manufacturing, & Mechatronic Engineering. Note that RMIT's Department of Aerospace Engineering includes the higher-education discipline of Aviation. As a top 100 university in the world for engineering (2015 QS Rankings by Faculty; Engineering and Technology), RMIT Engineering provides students with work-relevant education programs, access to excellent research facilities and opportunities to engage in creative real-world project work through robust relations with local and international industry leaders. RMIT Engineering's education is based on innovation and creativity. Key discipline areas in the School of Engineering provide programs with flexible pathways to global careers or postgraduate research. Continuing a tradition of many years, the Department of Aerospace Engineering is ranked first in Australia by Shanghai Ranking and 34th globally (https://www.shanghairanking.com/rankings/gras/2025/AS0221); and RMIT is the top university for Aviation and Aerospace research in national rankings (https://www.theaustralian.com.au/special-reports/research-magazine/the-2025-research-magazine-showcases-australias-best/news-story/558038b72166c02a020a8df7c506fdc3). To Apply Please click the 'Apply' link below and upload the following documents: Your CV A cover letter A separate document addressing the Key Selection Criteria For further information about this position, please see the Position Description hyperlinked below or contact Professor Jennifer Palmer via email jennifer.palmer2@rmit.edu.au For further information regarding recruitment processes, please contact Jennifer Pham, Senior Talent Acquisition Advisor via email at jennifer.pham2@rmit.edu.au Please do not share your application to this email address. Position Description - Associate Professor, Aerospace Engineering Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements. Applications close on Wednesday 8 April 2026 at 11.59pm. RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. In line with RMIT University's commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes.All applicants will be required to complete a gender based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence.Preferred candidates will also be required to undertake relevant pre employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT's safety obligations. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer - we commit to respond to every applicant.

Description The Prof. Sunil Kumar’s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination. Write up results and contribute to publications, technical reports and presentations for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training. Familiarity with 3D data processing or willingness to learn quickly. Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model explainability methods. Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes). Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Prabodh Panindre at prabodh@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.  NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.