Sidi Mohamed Ben Abdellah University

Deakin is seeking a Principal, Cloud Infrastructure Engineering to provide specialist technical leadership across our cloud environments, ensuring our infrastructure is resilient, scalable and designed to support the future of digital, AI and data-enabled services. Based at either our Melbourne Burwood or Geelong Waterfront Campus, hybrid work available  Fulltime and continuing HEW 10 $147,757 + 17% Superannuation Why work with us? At Deakin University, you’ll find more than a job - you’ll find a community and a way of working that supports you to do your best work. Across our campuses in Geelong, Melbourne and regional Victoria, we offer an environment designed to help you thrive, with on-site childcare, gyms, medical centres, cafés, accessible public transport and convenient parking. We support flexible and hybrid working, generous leave provisions - including extended parental leave and the option to purchase additional leave - and a wide range of staff benefits and discounts. Combined with our strong focus on health, wellbeing and professional development, Deakin offers a supportive, inclusive culture where leaders are trusted, people are valued and careers can grow. About the role Deakin isn't just adopting AI – we're building it. With Deakin GEM now live and our AI Factory, a multi-disciplinary squad, accelerating capability across the institution, ambitious work is underway across multiple streams. As Principal, Cloud Engineering Infrastructure you will be in a hands-on technical role, working with Data, Engineering and Product specialists to provide the high-performing, cost-efficient and secure environments that make our AI concepts a reality. You will also collaborate with peers in the wider Cloud Systems & Services team to embed shared best-practices for automated cloud infrastructure management. You will be the technical authority who defines and implements the scalable, production-grade cloud infrastructure that supports our GEM Generative AI solutions and agentic workflows on AWS. You should be comfortable delivering complex Infrastructure as Code deployments, establishing and managing effective enterprise-grade observability, and in making robust long-term architectural decisions. You will: Collaborate with stakeholders to align technical roadmaps with business goals. Architect end-to-end cloud environments specifically optimized for AI/ML workloads. Write production-ready IaC (Terraform) for auto-scaling GPU and CPU clusters. Design CI/CD pipelines that automate the deployment of both infrastructure and ML models. Design and implement comprehensive observability and monitoring capabilities Optimize cloud spend through proactive monitoring and architectural refinements. About you You are a highly experienced cloud infrastructure engineering professional who thrives in complex enterprise environments. You’ll bring: Expert-level AWS AI skills: Deep knowledge of Bedrock, Lambda, EventBridge, SQS, and EKS & ECS Fargate. Infrastructure as Code: High proficiency in Terraform and AWS CDK. Data Engineering: Experience RDS and with RAG vector databases. Security: Solid understanding of IAM roles, VPC security, and data resilience (encryption, backup, redundancy) at scale. Operations: Mastery of MLOps principles, including model monitoring and drift detection, as well as core platform metric observability. For a copy of the position description, please see below: PD - Principal, Cloud Infrastructure Engineering.pdf To apply Please submit your updated resume and a short cover letter outlining your skills and experience. For a confidential discussion regarding this role, please contact Stephen Castellas – Director, Digital Infrastructure & Cloud Services via stephen.castellas@deakin.edu.au  Applications close Sunday, 17 May 2026 at 11:55pm. Are You Ready? Deakin is a Victorian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community. We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success. We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful completion of relevant pre-employment checks, including Working With Children Checks and candidate gender-based violence declarations. Candidates may be asked to declare whether they have been investigated for an allegation of Gender‑based Violence, or determined to have engaged in conduct that constitutes Gender‑based Violence during the course of their previous employment, or otherwise in a legal process. A declaration is not required from individuals who have experienced gender‑based violence. A ‘Yes’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only for relevance to the role and the University’s safety obligations.

Based in the College of Health within the School of Medicine 2x Full-time, fixed term contract positions available until December 2026 with the possibility of extension (HEO6) $92,511 - $99,929 per annum plus an employer contribution of 17% superannuation applies At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters The Research Officer will contribute to high‑quality experimental research within the Breast and Prostate Cancer Research Program, including the execution of molecular and preclinical experiments and the generation, analysis, and preparation of research data. The role involves supporting data interpretation, documentation, and reporting for research outputs, as well as contributing to effective laboratory operations, governance, and maintenance of research records and databases. The team The Dame Roma Mitchell Cancer Research Laboratories (DRMCRL) is a Division of the Discipline of Medical Specialties which is within the School of Medicine. Visit the AU website to learn more about the School of Medicine. The DRMCRL undertakes internationally recognised research focused on breast and prostate cancer, integrating molecular, cellular, and preclinical approaches to advance cancer biology, prevention, and treatment. The Laboratories foster a collaborative, multidisciplinary research environment supporting high‑impact discovery and translation. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience:  Experience conducting molecular biology experiments in a wet laboratory setting, including genome‑wide or high‑throughput techniques (e.g. ChIP‑seq, RNA‑seq, ATAC‑seq or related assays). Demonstrated ability to maintain accurate experimental documentation and research data records, and to contribute to the analysis, interpretation, and presentation of research data for reports and publications. Experience in working with generalist software (e.g., Microsoft Word, Excel) and relevant specialist software for data analysis, visualisation, and data management. Strong organisational, communication and problem‑solving skills, with the ability to work independently and collaboratively in a multidisciplinary research environment. A degree in Science, Biology or a related discipline with Honours, or equivalent relevant research experience. Desirable: Knowledge of hormone‑dependent cancer biology and/or breast and prostate cancer research. Experience in small animal handling and husbandry, including tissue collection, drug administration, anaesthesia, and minor procedures. Experience working within regulated research environments, including ethics, compliance, standard operating procedures and risk assessments. Experience working with patient-derived samples or translational research pipelines is advantageous. Demonstrated capability in both molecular biology and preclinical animal models will be highly regarded. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter outlining your interest in the role and summarising your relevant skills and experience aligned to the position The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm Thursday 14 May 2026 The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information about this opportunity, please contact (quoting reference number 492775): Georgia Viola Talent Acquisition Adviser +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

Associate Professor / Professor – Artificial Intelligence/ Machine Learning, Computer Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech), based in Chicago, USA, is a private, Ph.D.-granting research university with globally recognized programs in architecture, engineering, computing, sciences, humanities and social sciences, psychology, business, law, and design. Illinois Tech is ranked #1 in Illinois and #23 nationally in The Wall Street Journal’s “America’s Best Colleges 2024.” The College of Computing at Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The Mumbai campus will offer the following degree programs: Bachelor’s in Computer Science Master’s in Computer Science Bachelor’s in Artificial Intelligence Master’s in Artificial Intelligence Master’s in Data Science To support these programs, Illinois Tech invites applications for Associate Professor and Professor level teaching-track faculty positions in Artificial Intelligence and Machine Learning. Position Summary Illinois Institute of Technology invites applications for Associate Professor and Professor teaching-track faculty positions at its Mumbai campus. These positions focus on delivering high-quality undergraduate and graduate instruction in Artificial Intelligence, Machine Learning, and related areas of Computer Science. Candidates should demonstrate a strong commitment to teaching excellence, student mentorship, and curriculum development. Senior faculty will also contribute to academic leadership, program development, and mentorship of junior faculty, helping to build strong AI and ML programs at Illinois Tech’s Mumbai campus. Courses will be delivered in person in Mumbai, India. Online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses in Artificial Intelligence and Machine Learning Deliver courses in areas such as: Machine Learning Deep Learning Advanced Artificial Intelligence Natural Language Processing (NLP) Data Preparation and Data Analysis Contribute to curriculum development and course design for AI and ML programs Mentor and advise undergraduate and graduate students Participate in departmental, college, and campus service activities Provide academic leadership and mentorship to junior faculty Support the development and growth of Illinois Tech Mumbai academic programs Qualifications Applicants must have: A Ph.D. in Computer Science or a closely related field by the start of the appointment Demonstrated excellence in university-level teaching Strong expertise in Artificial Intelligence and Machine Learning Strong communication and interpersonal skills Ability to teach advanced AI and machine learning courses For Associate Professor and Professor-level candidates, the following are preferred: Significant experience teaching undergraduate and graduate AI/ML courses Evidence of curriculum development or academic leadership Experience mentoring students and junior faculty A record of scholarly or professional contributions in AI, machine learning, or data science Application Requirements Applicants must submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement detailing teaching experience, teaching philosophy, and teaching interests Names and contact information for three or more professional references The faculty will deliver courses in person in Mumbai, India. Online delivery is not an option. If you are unable to upload the documents, please share your application pack at careers@daskalos.com