Universidad Tecnológica de Panamá

Play a pivotal role in providing senior leadership for the Discipline's academic and research performance, strategy, and growth Fixed term (3 year) contract for Assistant Associate Dean underpinned by an ongoing Senior Lecturer/Associate Professor/Professor position Remuneration for Academic Level C ($146,897-169,387) or Academic Level D ($176,883 - $194,868) or Academic Level E ($227,847) About the Role The Assistant Associate Dean (AAD) is a key leadership role within the School of Computing Technologies, offering the opportunity to shape the direction and success of the Data Science & Artificial Intelligence (DSAI) Discipline. Working closely with the Associate Dean, DSAI, and the broader School leadership team, you will provide strategic and people leadership across the Discipline, supporting staff to excel in teaching, research and engagement. You will play an important role in representing the Discipline, fostering a collaborative and high-performing culture, and contributing to the School's ambitions for growth, innovation and impact across education and research. As an accomplished academic leader and recognised researcher in a DSAI-related field, you will bring a strong track record of research excellence, academic leadership and staff development. In this role, you will lead and grow research programs and teams, strengthen a vibrant and inclusive research culture, and build productive collaborations across RMIT and with external partners. You will also contribute meaningfully to teaching and learning, helping to deliver outstanding student outcomes in the discipline. With influence across both the Discipline and the School, you will help shape strategic priorities, contribute to academic governance and committee leadership, and advance the profile and performance of DSAI within RMIT and beyond. To be successful for this position, you will have: Proven academic leadership experience, with the ability to lead teams, build capability and deliver on strategic objectives. An established and respected research profile in a relevant field, with the capacity to lead and promote research excellence. A strong record of innovative teaching and curriculum contribution in a relevant discipline, supported by a sound understanding of contemporary learning and teaching practice. Strong understanding of relevant industry trends, priorities and the evolving higher education landscape. Strategic thinking capability, with the ability to translate organisational priorities into practical actions and outcomes. Highly developed interpersonal, communication, influencing and negotiation skills, with the ability to build strong relationships internally and externally. A collaborative and collegiate approach, with proven ability to work across teams, align stakeholders and achieve shared goals. Demonstrated ability to influence positive change, foster collaboration and promote excellence in teaching, research and academic performance. Qualifications Mandatory: A PhD in a relevant field (i.e., Data Science, AI or Computer Science), with experience, standing and achievements commensurate with appointment at Academic Level C, D or E at RMIT. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the School of Computing Technologies The School of Computing Technologies (SCT) is a globally connected and forward-looking school, recognised for world-class computing research and innovative education in information technology, data science and artificial intelligence. We are committed to shaping the future of technology through distinctive research, industry engagement, and a strong emphasis on diversity, interdisciplinarity and real-world impact. In the 2026 QS World University Rankings by Subject, RMIT was ranked 117 globally for Computer Science and Information Systems, placed in the 51-100 band for Data Science, and ranked 29 for Library and Information Management. The School offers programs across Computer Science, Software Engineering, Data Science, Artificial Intelligence, Cyber Security and Information Technology, and is one of Australia's largest and leading education providers in the field. SCT is a national leader in industry-connected learning across computing, data science and IT. Our undergraduate programs have been redesigned to provide a common foundation in programming, supported by an innovative Bootcamp2Studio model that combines immersive, challenge-based learning with strong industry relevance. This approach equips students with the practical skills, adaptability and confidence to make meaningful contributions in a rapidly evolving technology landscape. The School is led by the Dean, School of Computing Technologies, and has three disciplines: Cyber Security & Software Systems (CSSS) Data Science & Artificial Intelligence (DSAI) Interaction, Technology & Information (ITI) Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in: Information Interaction and Information Retrieval Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science and Machine Learning Recommendation and Big Data Analysis Cybersecurity Software Engineering Digital Health Computer Science Education Learn more: https://www.rmit.edu.au/about/schools-colleges/computing-technologies To apply, please submit your application via the 'Apply' link below, ensuring you include: CV Covering letter A separate document addressing the Key Selection Criteria for the Assistant Associate Dean, DSAI position For further information about this position, please refer to the Position Description hyperlinked below or contact Professor Jeffrey Chan via jeffrey.chan@rmit.edu.au. For questions about the recruitment process, please contact Jennifer Pham, Senior Talent Acquisition Advisor, via email at Jennifer.pham2@rmit.edu.au or Senior Talent Acquisition Advisor, Bianca Jenkins via email bianca.jenkins@rmit.edu.au. Please do not send your application to these email addresses. Position Description - Assistant Associate Dean, Data Science & AI Discipline (3-Year) Position Description - Professor (ongoing) Position Description - Associate Professor (ongoing) Position Description - Senior Lecturer (ongoing) Please note: if you are viewing this advert on an external site, click 'Apply' and you will be redirected to RMIT's Jobs website, where the Position Description is available at the bottom of the page. Due to recent system upgrades, Position Description links may not function correctly on LinkedIn advertisements. Applications close on Sunday 12 July 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.

Department: Media Studies Vacancy ID: 042303 Closing Date: 26-Jul-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The Media Studies Technician will report to the Head of Department and support the Senior University Tutor and Lecturers in the delivery of teaching, learning, and technical practice across the department. The role requires experience supporting educational environments and a strong, cross-disciplinary skillset spanning audiovisual (AV) and digital technologies, alongside a solid understanding of IT systems and teaching software. They will support the delivery of modules such as Short Film; Documentary; Radio Production and TV Studio, including assisting in the supervision and delivery of final year student projects. The postholder will manage equipment, facilities, and technical resources, provide inductions and training, and collaborate closely with academic staff and students to support module delivery and creative projects. They will have operational responsibilities for the Media Lab – an equipment stores and space for staff and researcher audiovisual practice. They will also liaise with the University’s IT Services (ITS) to ensure effective integration, maintenance, and support of digital systems and infrastructure. In addition, the role will contribute to future-proofing the department’s technological provision by proactively identifying emerging technologies and supporting strategic development of media facilities and resources. The postholder is central to ensuring all media technologies, labs, and specialist spaces are fully operational, innovative, and effectively utilised. Salary: Technical Officer (2026): €48,095 – € 62,938 p.a. (7 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 26th of July 2026. Please note, the cover letter should be a maximum 2 pages and CV a maximum of 4 pages. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

University of Otago - Ōtākou Whakaihu Waka - Queenstown Campus Shape data science and AI governance education at a growing, strategically important campus. Join a research-intensive, internationally connected university committed to excellence and impact. Live and work in one of New Zealand’s most extraordinary environments. The University of Otago is one of New Zealand’s leading research universities and among the world’s top-ranked institutions. With more than 150 years of scholarship and discovery, we are committed to advancing outstanding research and research-informed teaching. Our vision is for our people and knowledge to transform lives, connect communities, and nurture the environment in Ōtākou, Te Waipounamu, Aotearoa, the Pacific, and the world. Our Queenstown campus is a strategic investment in high-quality tertiary education and research in one of the South Island’s most dynamic regions. As the campus grows its academic profile, we are seeking outstanding academics to help shape its future. The Role / Te Mahi We are seeking an outstanding academic to join us as Lecturer or Senior Lecturer in Data Science/AI Governance and Leadership. This is a full-time, permanent position at the University of Otago’s Queenstown campus. The successful candidate will contribute to teaching, research, and service at our emerging Queenstown campus. Teaching will largely be focused at postgraduate level, alongside building an active research programme. The area of specialisation will be in data science and AI governance, as well as related areas, and will involve significant curriculum development. There is genuine scope to play a leading role in developing the data science and AI offering at the campus and to engage with the region’s distinctive mix of industry, government, and community organisations. This is an opportunity to join the University at a genuinely formative moment. The Queenstown campus is building its academic identity, and this role will contribute directly to that development by shaping how the field is taught, defining research priorities, and helping to establish the University’s presence in an area of growing national significance. We are looking for someone excited by the opportunity to help shape a new academic environment and build meaningful connections across disciplines, industry, and community. While this position is advertised at Lecturer and Senior Lecturer level, the University reserves the right to appoint at Associate Professor or Professor level if an exceptional candidate is identified. To be considered at a higher level, candidates will need to demonstrate leadership experience that will help drive the University’s ambition for Queenstown. Your Skills and Experience / Kā Pūkeka me Kā Wheako The successful candidate will have: A completed PhD in data science, artificial intelligence, computer science, information systems, law, public policy, or a closely related discipline. An established or emerging research record in data science, statistics, machine learning, artificial intelligence, or related fields, ideally with expertise in areas such as data governance, AI ethics and policy, algorithmic accountability, data privacy, or other societal, regulatory, or organisational dimensions of data and AI. This may include practical applications of these areas in the development of digital technologies. Demonstrated ability or clear potential to teach effectively at undergraduate and postgraduate level. A commitment to rigour, ethics, and cultural safety in research and teaching, and to collegial and respectful engagement with students and colleagues. A commitment to the principles of Te Tiriti o Waitangi and to the University’s Māori and Pacific strategic frameworks. For appointment at Senior Lecturer, Associate Professor, or Professor level, candidates will have a well-established research and teaching record commensurate with that level, including an outstanding track record of research funding and postgraduate supervision. Further Information / Pūroko This is a full-time (1.0 FTE), permanent position based at the University of Otago’s Queenstown campus. Appointment ranges for this role are: Lecturer - $97,377 to $114,943 Senior Lecturer - $120,494 to $137,444 Appointment level will be determined by the candidate’s academic achievements, skills, and experience. We welcome applications from outstanding candidates at either level. Queenstown is one of New Zealand’s most sought-after locations, internationally connected, surrounded by an outstanding natural environment, and home to a vibrant and growing community. The region offers an exceptional quality of life, including year-round outdoor activities, excellent schools, and a strong sense of community. The University’s presence in Queenstown reflects a long-term commitment to the region and provides a unique academic environment. The campus offers an exciting opportunity to help shape a growing research and teaching environment with strong regional partnerships and national visibility. The University of Otago is committed to Te Tiriti as set out in Pae Tata and Vision 2040. We invite applications from candidates who bring diverse perspectives and lived experience, and we are committed to providing an inclusive and supportive environment for all staff. Specific enquiries may be directed to Professor Richard Barker, Establishment Director of the University of Otago Queenstown/Lakes District Project, via the contact details below. Application / Tono Candidates are requested to submit the following: A CV. A cover letter. 3-4 referee contact details, including telephone number and email address. To submit your application, please click the Apply button. Applications quoting reference number 2600862 will close on Sunday, 19 July 2026. APPLICATION INFORMATION To view all current vacancies and to apply online go to: www.otago.ac.nz/jobs Equal opportunity in employment is University policy. E tautoko ana Otakou Whakaihu Waka i te kaupapa whakaorite whiwhinga mahi.