École Centrale de Lyon

Classification: Academic Level B1 Salary package: $124,638 per annum plus 17% superannuation Terms: Full time, Fixed Term (2 years) Flexible arrangements, job share, or part time hours will be considered. Design new algorithms and systems at the cutting edge of artificial intelligence research Collaborate with a vibrant and internationally recognised research group at ANU Work with industry and government partners to apply AI research to real-world outcomes Position Description and Selection Criteria: PD&PEWER_Level B_Research Fellow in AI.pdf About the opportunity This position is a fixed term appointment for a period of two years (24 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their applications. Applications are particularly invited from researchers who undertake high-impact collaborative and cross-disciplinary research, and whose interests and expertise contribute to the activity cluster, School, and College. In-depth knowledge in at least one of the following areas will be highly regarded: the technology of large language models, natural language and text processing, qualitative and quantitative methods for evaluating system and user behaviour. Join a growing portfolio of projects in artificial intelligence, natural language processing, and machine learning. These projects build on the School’s strengths in AI, machine learning and vision, natural language understanding and robotics. They also collaborate with other requisite disciplines to integrate human and social values in AI systems, touching on aspects of philosophy, cognition, policy, and safety. You will conduct research on Human-Centred AI with applications in bridging the information gaps in real world applications and design and implement novel algorithms, formulating and solving human-centered AI problems. The Research Fellow will also support the development of partnerships with industry and government stakeholders, engage with the wider research community to advance computing research and education capabilities. In addition, you will contribute to the School educational programs, including being the mentor for research students and teaching activities that align with your career development. The nature and scope of these activities will be negotiated between the Research Fellow, their supervisor, and the school. About the School The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. About the College As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation. We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective. CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group. Enquiries To enquire about this role, please contact Professor Lexing Xie, E: lexing.xie@anu.edu.au or P: +612 6125 1646 Our commitment to diversity, belonging, inclusion and equity ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems and Society to actively seek a gender mix of shortlisted candidates for interview. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. What we offer The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. How to apply Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). A cover letter telling the selection committee about your interests and expertise in AI research, in particular large language models and their applications. (Optional) An achievement relative to opportunity statement where appropriate. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country. This position is open to visa sponsorship. An offer of employment is conditional on satisfactory results of a background check conducted during the recruitment process. Closing Date: Wednesday 22 July 20266, 11:55pm (AEST) 

ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT ENTREPRENEUR COLLEGE (TAICANG) In 2019, the XJTLU Entrepreneur College (Taicang) was launched, as a pioneers of, and an educational model for, the future university and campus in developing talents and leaders to meet local, national, and global challenges arising from the 4th Industrial Revolution. Developed in collaboration with the Taicang Municipal Government and industry partners, the XJTLU Entrepreneur College (Taicang) moved to the university’s newly opened award winning Taicang campus, within Greater Suzhou, in September 2022. As a result, there are opportunities at all levels for innovative academics in the fields represented by the following schools and education platforms. For detailed information about the XJTLU Entrepreneur College (Taicang), please visit: https://www.xjtlu.edu.cn/en/study/departments/entrepreneur-college-taicang/ ABOUT THE SCHOOL OF ROBOTICS The School of Robotics is one of the seven industry-themed Schools in the XJTLU Entrepreneur College (Taicang). Each School consists of an Education, Research and Development Institute (ERDI) for teaching and research collaboration, a one-stop School Office providing professional services to support student administration and activities, members of staff, and industry partners, and an affiliated School Joint-Venture Company jointly established by XJTLU and the School’s partner for industry-embedded teaching, learning, practical, and other activities. The governance of the School is through a School Council. The Dean of School oversees the School Management Team as well as contributing to the leadership of the college. The School of Robotics is jointly developed by the University and an industry partner – Siasun, to deliver the industry-themed programme(s). The first degree programme that the School has launched for the Academic Year 2019/2020 is BEng Intelligent Robotics Engineering with Contemporary Entrepreneurship.  Industry Partner Overview Siasun is the international headquarter of Siasun Robot & Automation Co., Ltd. in Shanghai. It is committed to creating a leading-edge international, innovative and platform-based for the industry of robots. The main businesses of Saisun include intelligent robots, intelligent manufacturing, and industry incubating. For more information please see www.siasun-in.com/.  PERSONAL ATTRIBUTES The School of Robotics is adopting a new higher education model based upon the concept of Syntegrative Education (SE). SE is a new model developed by the University to address an increasingly networked and complex future of work in the 4th Industrial Revolution. The model is core to the University’s strategy for its next ten-year development focusing on innovation and entrepreneurship. SE aims to train syntegrative leaders with Management skills, International perspective, Discipline-specific knowledge, and adaptability in Industry (MIDI). The position will attract individuals embodying these SE values and are passionate in engaging in a future-focused co-learning ecosystem comprising students, academics, practitioners, university, industry, and community. The School seeks academic members who thrive by creating impact through authentic engagement, cross-boundary collaboration, collective learning and discovery, and action-oriented inquiries. These creative educators adopt a systems mindset and use their knowledge, skills, and experiences to co-design and deliver an enriching educational experience for students. They view education as an integrative and life-long transformative process. RESPONSIBILITIES We are looking for future colleagues who can: Understand and have an entrepreneur and innovative mindset, in line with the ethos of the College. Deliver high-quality teaching to undergraduate and graduate students, as evidenced by peers, students and external examiners. Supervise undergraduate and postgraduate students. Provide administrative service to the School, the University and its stakeholders. Maintain a sustained record of successful PhD supervision. Work collaboratively with relevant School(s), College and University entities to identify opportunities for meaningful and genuine partnership and successful impact-creation for research. Conduct high-quality industry-enhanced research and consultancy contracts, evidenced by contribution that output makes to industry, the economy, society, environment or culture, beyond the contribution to academic research. Maintain good, sustained, and successful research grants with impact measured by publications in leading journals and other research outputs. Create, develop and manage successful research partnerships with industry, academic institutions, and other external organisations. Support innovative cross-disciplinary research in line with the Entrepreneur College (Taicang) research themes, and become an ambassador for the School for the promotion of cross-boundary research and teaching activities. Engage actively with new educational models and embrace innovative, interactive, technology-enhanced learning, teaching, and assessment approaches; understand and have an entrepreneur and innovative mindset in line with College ethos. Contribute to the school’s teaching development through mentoring and supporting early career academics (Associate Professor and above). Undertake any other appropriate tasks assigned by the Entrepreneur College or University through the Dean of School or College Senior Management Team. ESSENTIAL QUALIFICATION/EXPERIENCES A doctoral research (normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C++, Python, ROS etc) in robotics-related domains. Self-motivated for innovative teaching. Clear understanding of the philosophy and concept of Syntegrative Education (SE). Demonstrable past teaching/industry experiences or practices aligned with Syntegrative Education (SE). A commitment to Continual Professional Development in all areas of the role as an academic at the university. Ability to work, teach and research in English Strong team-work spirit. DESIRABLE QUALIFICATIONS/EXPERIENCE A good track record of engagement with business and industry. University-level teaching experience. Relevant industry experience. Appropriate research experience, including working with industry, for the corresponding academic position level. Experience in intensive teaching and problem-based learning, and a willingness to be innovative in teaching practices. An institutional builder, able to work with wider disciplines across the college. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as  Housing allowance Travel allowance Relocation allowance Etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays: Statutory Holidays (13 days) Annual Leave (34 days per academic year including university close days and annual leave) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental Leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Please submit your application on our university website. Applications must be submitted in a single pdf file that includes 3 parts in the order of: A cover letter A current CV, including date of birth, country of citizenship, and highest degree level Contact Details for Three References For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn.

Job description: We are looking for a postdoctoral researcher specialized in electronics and embedded systems, capable of designing and deploying innovative IoT solutions for research projects such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable solutions. Main tasks and responsibilities Design, develop, and test IoT solutions for air quality monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance based on feedback. Guarantee the reliability, security and scalability of the IoT solutions developed. Work closely with research teams to produce usable data and contribute to scientific publications. Contribute to scientific publications and disseminate results to decision-makers and communities. Qualifications required PhD in one of the following fields: electronics and embedded systems, telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the design, prototyping and deployment of IoT solutions for environmental and energy applications. Solid knowledge of embedded electronics and microcontrollers (Arduino, ESP32, Raspberry Pi, etc.). Expertise in developing sensors for air quality (PM2.5, CO2, Nox, etc.) and energy monitoring (voltages, currents, battery charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise in firmware development and optimization for microcontrollers and embedded systems. Knowledge of IoT communication protocols (MQTT, CoAP, LoRaWAN, Zigbee, BLE, Wi-Fi, LTE, etc.). Experience in integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in IoT-oriented databases (e.g., InfluxDB, PostgreSQL, Firebase, etc.). Knowledge of data visualization tools (e.g., Grafana, Tableau, etc.). Personal and organizational skills Ability to solve complex problems related to the design and optimization of IoT systems. Ability to lead a project from start to finish, from design to implementation. Ability to produce high-level publications and present research results at international conferences. Collaboration with researchers, engineers and technicians on multidisciplinary projects. Ability to present technical results and solutions to non-technical stakeholders. Entrepreneurial skills, dynamism, organizational skills. Perfect oral and written command of French and English. We offer: Excellent working conditions and competitive salary on an international scale. An opportunity to contribute to the development of research excellence in Africa. A highly stimulating multicultural working environment and an excellent teamwork atmosphere.