Universite de Toulon

At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence.  In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses.  The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen   Recently completed postdoctoral training   Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas  Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for intake 2026.  Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.  Final Interview by Panel for shortlisted applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, quantum computing.

The Department of Computer Science at Aalto University invites applications for lecturer positions in computer science. The positions of the Aalto University lecturer career system are available at the levels of University Teacher, University Lecturer, and Senior University Lecturer. The positions are full-time and permanent. We invite applications from the following three areas: Bioinformatics, biostatistics, and health data science General computer science: programming, algorithms, and theory Software engineering The candidates must hold a doctoral degree in any of the areas listed above or related fields, such as Statistics or Applied Mathematics, at the time of being appointed, and they are expected to have very good teaching skills and a deep interest in teaching and working with students in higher education. We value pedagogical studies and interest in pedagogical development, as well as industry experience. Teaching at Aalto University is based on high-quality research, so we also value ongoing research activities. As many of the courses provided by the department are fairly large, we value previous experience in organizing large courses, good communication and management skills for coordinating teams of teaching assistants as well as experience in learning analytics and the skills necessary to technically set up such courses (e.g., using automated grading tools and various learning platforms). The candidates should have a collaborative mindset in teaching and teaching development across the faculty of the Department of Computer Science as well as other (interdisciplinary) programmes offered in Aalto University. Due to the department’s teaching needs, the candidates must be able to teach both in Finnish and in English. The department is committed to fostering an inclusive environment with diverse faculty members. Therefore, applications from groups that have been underrepresented in computer science are particularly sought. Lecturers are expected to provide and develop high-quality, research-based teaching that is accessible for students with diverse backgrounds, and create engaging, interactive learning environments for students. Lecturers will also contribute to curriculum development, mentor students, supervise theses, and participate in research in the largest computer science department in Finland. The Department of Computer Science is among Europe’s top-20 CS departments. The department has strong groups in a range of areas including algorithms, data science, machine learning and AI, mobile and distributed systems, secure systems, software engineering, computing education research, and visual computing and human-computer interaction. The department attracts significant numbers of high-achieving international students into its MSc in engineering and doctoral programs, and as the foremost CS educator in Finland, it is home to the best Finnish CS students. The department is currently expanding its bachelor program and investing heavily in online and continuous education. The Department of Computer Science provides world-class research and education in modern computer science to foster future science, engineering and society. The work combines fundamental research with new applications. The department is known for its innovative and consistently high-quality work. It is matching the very best teams in the world and is a coveted partner in international collaborations. Furthermore, the department is recognized for its fresh and dynamic culture and low bureaucracy. Aalto University offers excellent opportunities and encouragement for cross-disciplinary collaboration between engineering, science, business and design, with local partners both at Aalto and University of Helsinki. Aalto provides its employees with occupational healthcare and many opportunities for further education and training. The annual working time for teaching and research staff is 1612 hours, of which lecturers should allocate 50-80% to teaching, depending on their level in the career system. The applicants will be reviewed in relation to their career stage on the basis of their teaching credentials, research achievements, and the societal impact of their work. How to Apply Applications must be submitted electronically through the Apply now! link below. Applications will close on Monday, March 16th, 2026 at 23:59 EET (UTC+2). The submitted application materials must be in English and must include the following attachments in PDF format: cover letter including a summary of merits and most important achievements, curriculum vitae, teaching portfolio (description of your teaching experience with any supporting material, approximate length 2-4 pages; short-listed candidates will be asked to prepare full-length portfolios at a later stage according to Aalto University’s instructions: https://www.aalto.fi/sites/default/files/2024-04/Teaching-competence-assessment_Guidelines-for-a-candidate_2024_Aalto-University.pdf), research statement that outlines past achievements as well as current and future research plans (approximate length two pages), list of publications with the three most important publications highlighted. In addition to the above attachments, in the application form, you are required to submit names, positions, affiliations and e-mail addresses of two referees available to provide recommendation letters. You will log in to the recruitment system using an email account. This email address will be used for communication throughout the review process. Please ensure that the same email address appears in all your application documents (e.g., CV). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi). Aalto University’s employees should apply for the position via their profile in the internal HR system Workday (Internal Jobs). Further Information Please contact the search committee chair Associate Professor Harri Lähdesmäki or, in recruitment-process-related questions, HR Partner Laura Kuusisto-Noponen; emails: laura.kuusisto-noponen@aalto.fi. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

Organisation: Cranfield University Faculty or Department: MK:U Based at: Cranfield and Milton Keynes  Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type: Permanent Salary: Full time starting salary is normally in the range of £48,760 to £58,664 per annum with potential progression to £71,050 per annum Apply by: 09/03/2026 Role Description About the Role This role is an opportunity to help us shape the future of education and fill the skills gap. The successful applicants will divide their time between developing and delivering modules on MK:U courses using our distinctive Problem-Based Learning approach (we’ll provide training for you), and designing the new apprenticeship. You will have knowledge of a subject matter related to AI, Machine Learning and/or Data Science, most likely in two or more of the following subject areas: Artificial intelligence – both technical understanding and user application aspects Machine Learning Deep Learning and Neural Networks Big Data and Visualisation Cloud Computing, particularly in relation to AWS[RM1]  About you We are seeking people to join the team who are as passionate as we are about AI skills in the digital era and who believe, as we do, that we need a lot more people who can bring these skills to the workplace. As educators, our job is to make AI, and related topics, attractive and exciting to study as well as making sure it’s relevant and applicable to the jobs of today and of the future. You will be excited about making education relevant to the digital economy and gripped by the challenge of making it understandable and fun to study. You will prize teamwork and value your colleagues’ skills and knowledge. You will be interested in how problem-based learning can be used to ensure that education is relevant to the workplace and open to the idea that we can blur the boundary between ‘work’ and ‘education’ because learning takes place in both contexts. You will be motivated by helping your students to succeed in their careers. You will either have undergraduate or postgraduate education delivery experience in the above subjects. You will have an advanced degree in the broad subject area (Masters or above) and will either hold or be working towards a qualification in education (e.g. a Postgraduate certificate or AdvanceHE recognition). You will have evidence of educational innovation and, ideally, of course management, either as course lead or deputy. To be successful in this role you will be comfortable with change, willing to work flexibly, and open to new ways of doing things. Importantly, you will be able to collaborate with and influence people and build relationships quickly, and you will be eager to play a full role in the fast-moving and exciting MK:U project. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. About MK: U MK:U is an exciting new addition to the Cranfield University educational family; a new model higher education provider for Milton Keynes, designed to meet urgent technological and skills needs. MK:U’s education is designed with and for business to fill growing skills gaps in the digital economy. Find out more about working with us here: Working at MK:U (shorthandstories.com) MK:U’s education focuses on real-world application of problems using problem-based learning. Find out more here Our Values and Commitments Cranfield’s shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are also committed to actively exploring flexible working options for each role.  Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. How to apply For an informal discussion, please contact Professor Ruth Massie, Director of Education, r.massie@cranfield.ac.uk. Please do not hesitate to contact us for further details on E: hrrecruitment@cranfield.ac.uk. Please quote reference number 5238