Norwegian University of Science and Technology

Ref.: 536765 Work type: Fractional / Part-time Department: Faculty of Education (10000) Categories: Teaching Staff Half-time Assistant Lecturer in Speech-Language Pathology in the Faculty of Education We now invite applications for appointment as Half-time Assistant Lecturer in Speech-Language Pathology in the Faculty of Education. Duties and Responsibilities The appointee will be responsible for providing clinical supervision and teaching of students in the Bachelor of Science in Speech-Language Pathology programme. He/She will also be involved in the administration and knowledge exchange activities of the programme. Essential Requirements Applicants should possess a Bachelor’s degree or above, a recognized professional qualification in Speech Therapy, and at least 5 years’ post-qualification clinical experience as a speech therapist. They should have a good command of written and spoken English and Chinese (including Cantonese) as well as good communication and interpersonal skills.  Desirable Attributes Preference will be given to those who have strong experience working in pediatric/adult speech, language, and communication disorders with experience and interest in clinical education; and work or clinical supervision experience in hospital settings and/or non-local clinical settings. What We Offer The appointment will be made on temporary contract for 1 year, to commence on September 1, 2026 or as soon as possible thereafter, with the possibility of renewal. A highly competitive salary commensurate with qualifications and experience will be offered, together with annual leave and medical benefits. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload a cover letter, an up-to-date C.V. with the contact information of three referees. More information about the Faculty and the programme can be found at https://web.edu.hku.hk/ and https://web.edu.hku.hk/programme/bsslp_6157. For further details, please contact Professor Estella Ma, Clinical Education Director in the Academic Unit of Human Communication, Learning, and Development (email: estella.ma@hku.hk or tel.: 3917 7625). Review of applications will start as soon as possible and continue until August 2, 2026, or until the posts are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 30 Faculty of Catholic Theology Startdate: 01.11.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.10.2030 Reference no.: 5903 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Our Profile: A 30-hour Praedoc position is available at the Department of Practical Theology (Section: Pastoral Theology and Kerygmatics) at the Faculty of Catholic Theology, from 1 November 2026 to 31 October 2030. Research and teaching at the Department draw on interdisciplinary research to address current challenges in society, politics and the Church, academia, education and religion. In cooperation with the humanities, social sciences and education, the practice in these fields is researched with the aim of developing perspectives for action. Your Responsibilites: The duties of the new assistant consist of active participation in research, teaching and organization in the section and department (as defined by the collective agreement). We expect a dissertation in the field of pastoral theology as part of the Department’s research focus on ‘Interfaith Encounter, Dialogue and Learning in a Secular Context’. A doctoral thesis agreement has to be signed within 12-18 months. An outline of ideas for a possible dissertation is to be attached to the application. Your Profile: A practical-theological focus in Catholic-theological studies, or a degree in cultural or social sciences with a focus on religion, or a degree in the study of religion, in each case with a willingness to focus on a practical-theological approach. An interest in interfaith dialogue is a prerequisite. Experience of, and/or an interest in, interdisciplinary and empirical research is desirable. Independent work and willingness to work in a team are required. A good command of German is essential. What we offer: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. You will be part of an inspiring team in a pleasant working environment. We offer you ongoing opportunities to broaden and deepen your skills. The basic salary of EUR 3,776.10 (on a full-time basis) increases if we can credit professional experience. The gross salary for a 30-hour position is EUR 2,832 gross. It is that easy to apply: With your scientific curriculum vitae / letter of intent With a summary of your research interests / ideas for a prospective doctoral project proposal With a motivation letter that describes your special interest for this position and the department’s research focus Master Degree / Diploma Via our  job portal / Apply now - button If you have any questions, please contact: Regina Polak regina.polak@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 09/13/2026 Prae Doc

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