Addis Ababa University

Ref.: 536768 Work type: Fractional / Part-time Department: Faculty of Social Sciences (30000) Categories: Teaching Staff The Faculty of Social Sciences invites applications for a fractional position of Lecturer to join our Experiential Learning team. The role focuses on developing and managing Social Innovation and Global Citizenship internship within the Experiential Learning team. Duties and Responsibilities Develop and manage internships Design and expand local and global internship opportunities in partnership with over 150 community organisations, integrating principles of social innovation and career development into the experience. Supervise and mentor students Support undergraduate students in their academic, personal, and professional growth through internship guidance, mentorship, and structured academic activities. Partner engagement Build and sustain strong partnerships with organisations to enhance experiential learning opportunities and ensure meaningful outcomes for both students and partners. Programme enhancement Align internship initiatives with curriculum objectives, design assessment frameworks, and develop scalable models for long-term development. Requirements A Master’s degree or above in social sciences or a related discipline At least five years of post-qualification experience, preferably in experiential learning, programme development, or internship management Demonstrated success in developing and managing internship or experiential learning programmes Strong organisational, communication, and networking skills, with fluency in English and Chinese (Cantonese and Putonghua) What We Offer The appointment will be made on fractional fixed-term contract for two years, with the possibility of renewal subject to satisfactory performance and funding. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme. totalling up to 15% of basic salary. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. How to Apply  The University only accepts online application for the above post. Applicants should apply online and upload a cover letter and an up-to-date CV. Review of applications will start as soon as possible and continue until August 7, 2026, or until the post is filled, whichever is earlier. Shortlisted candidates will be invited to attend an interview and/or written test.

Salary: £25,326 - £28,062 per annum pro rata of £31,236 - £34,610 per annum Contractual hours: 30 Basis: Part Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Admissions, Marketing Job reference: REQ000581 Attachments: attachmentDigital Content Officer - JDPS - June 26.pdf At University College Birmingham, we transform lives through career-focused education, outstanding student experiences and sector-leading financial support. As we continue to grow, we’re looking for a Digital Content Officer with a strong focus on copywriting to help shape how we communicate with prospective students online. This is a writer-first role, ideal for someone who is passionate about crafting clear, engaging and persuasive content. You will create high-quality copy across our website, campaigns and digital channels, ensuring every word supports student recruitment and enhances the user experience. You’ll turn complex information into compelling, easy-to-understand content, balancing creativity with clarity and storytelling with SEO/GEO best practice. Working closely with our Senior Copywriter and Website Manager, you will help deliver a consistent, high-performing digital voice that reflects the energy, ambition and diversity of our community. You will support: Copywriting and content creation Produce engaging, user-focused copy across web pages, campaigns and marketing channels, with a strong emphasis on clarity, tone of voice and conversion. Editing and content quality Edit and proofread content to a high standard, ensuring accuracy, consistency and accessibility across all digital outputs. Website content & publishing Support the creation and maintenance of website content through the CMS, ensuring pages are optimised for SEO, GEO, user experience and accessibility. Content optimisation Use insights and performance data to refine copy, improve engagement and support conversion through activities such as page optimisation and A/B testing. Storytelling and content development Identify and develop student and alumni stories, testimonials and news content that bring the student journey to life through strong, authentic writing. If you’re a creative copywriter and storyteller, this is your opportunity to make a real difference in how students discover, understand and connect with the University College Birmingham. Standard Information UCB is an equal opportunities employer. We are TEF rated Silver, with a Good Ofsted rating.  UCB has achieved the Investors in Diversity Bronze Award You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement.All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Professional Officer in Applied Artificial Intelligence (AI) The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Applied AI and related areas. Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied AI capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Qualifications: A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Equivalent industry experience may also be considered. At least 8 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated experience applying AI to the SIT’s focus areas Experience in one or more of the following areas will be advantageous: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit-learn, CNTK, big data technologies such as Apache Hadoop and Spark, and DevOps/MLOps. Strong foundation in data structures, data modelling, and software architecture, with programming proficiency in Python, R, Java, and/or C/C++. Good grounding in mathematics, including probability, statistics, and algorithms. Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. Key Competencies Passion for teaching, coaching, and mentoring students and junior practitioners. Strong analytical and hands-on problem-solving skills. Ability to build and maintain effective working relationships with internal and external stakeholders. Adaptability and willingness to work across functions and teams in a dynamic environment. Self-motivated and committed to continuous learning and professional growth. Strong technical writing, communication, and presentation skills. Good analytical, critical thinking, and problem-solving abilities. Proactive, resourceful, and able to take ownership of assigned responsibilities. What SIT offers: An applied research environment to tackle real-world problems together with industry partners Opportunities to shape a coherent applied AI research agenda with colleagues across disciplines and build Singapore’s applied AI research capability at a pivotal moment Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub