Universidad Peruana Cayetano Heredia

Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs. Job Requirements A good degree in Electrical/Electronics Engineering or related fields. Possessing a Masters, PhD and/or relevant professional certifications would be advantageous. Deep technical specialist with 10 or more years of working experience in Electrical/Electronics Engineering environment. Have deep, hands-on competence in the following areas: High voltage switching Engineering design, modelling & analysis of conventional power, wind & solar farms Engineering design of transmission & distribution substations, electrical distribution systems of industries and commercial buildings Power system protection application and relay coordination Digital/Analogue/Power electronics IoT/Micro-controller application It will be advantageous with working knowledge of/as: Knowledge in programming/using Python, MATLAB, LTspice, IoT platform. Authorised high voltage switching Engineer Extensive hands-on experience and knowledge of industry practices and engineering principles to bring industry perspective to SIT Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

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

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.