Dokkyo University
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Research Fellow (Human-in-the-Loop AI Perception System) - LX
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing the perception system performance for autonomous vehicles (AV). Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct the research work in Human-in-the-Loop AI perception system for autonomous driving Work with the research team, collaborators and the industry partner to design the framework of the proposed solution Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be advantageous. Have strong research record, preferably on top-tier computer science/engineering conferences. Key Competencies Specialized in computer science, computer engineering, or relevant disciplines Enthusiasm in the Deep learning and AV related research Proficient in paper writing and presentation Possess strong analytical and critical thinking skills Able to build and maintain strong working relationships with people within and external to the university Self-directed learner who believes in continuous learning and development Show strong initiative and take ownership of work
Salary
Competitive
Posted
22 Jun 2026
Faculty Positions in School of Robotics (Full Rank)
Xi'an Jiaotong-Liverpool University
China, Taicang Pt
Xi'an Jiaotong-Liverpool University
China, Taicang Pt
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.
Salary
Competitive
Posted
22 Jun 2026
Postdoctoral Researcher, Industrial Intelligent Agent Research Center
Xi'an Jiaotong-Liverpool University
China, Suzhou
Xi'an Jiaotong-Liverpool University
China, Suzhou
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. 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 THE INDUSTRIAL INTELLIGENT AGENT RESEARCH CENTER The Industrial Intelligent Agent Research Center at Xi'an Jiaotong-Liverpool University, aligned with national smart manufacturing strategies, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation & Maintenance Intelligence – System Autonomy," aiming to drive profound transformation in industrial manufacturing by breaking through key technologies in smart equipment, industrial software, and system solutions. The center collaborates closely with industrial giants like Hengtong, Haier, and Bond Tech to create a complete value chain from theoretical innovation to industrial application. RESEARCH AREAS Currently, we are seeking candidates from different research areas. The more details can be kindly found as below: 1. Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals, and participate in applying for domestic and international patents. Assist in supervising PhD and Master's students, and participate in the center's collaborative projects with industry partners to promote the industrialization of technology. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong intellectual curiosity, ability to solve problems independently, and excellent teamwork spirit. Outstanding written and oral communication skills in both Chinese and English. 2. Industrial Digital Twin and Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g., compressors, reaction kettles). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed technologies in real industrial environments. Publish high-quality academic papers and participate in writing research grant proposals. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT and Edge Computing Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation. Experience with industrial field projects or familiarity with DCS/MES systems is preferred. Excellent teamwork and communication skills. PERSONAL ATTRIBUTES Initiative: applicants should demonstrate a proactive and self-driven approach to work and should take the initiative to identify research opportunities, propose new ideas, and seek solutions to research challenges; Collaboration: The ability to communicate effectively, listen actively, and contribute constructively to group discussions is essential for successful collaboration; Resilience: applicants should demonstrate resilience and perseverance, maintaining a positive attitude and adaptability in the face of setbacks or unexpected outcomes; Ethical conduct: applicants should adhere to ethical guidelines, promote responsible research practices, and ensure the safety and well-being of themselves and others in the research environment. These personal attributes, combined with the required qualifications and expertise, contribute to the overall effectiveness and success of postdoctoral researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. 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: Details refer to the University Policy Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Interested applicants are required to submit the application with the following files. Please combine the following application materials into a single PDF file and title it "Digital Twin and Control Systems Postdoc Application – Your Name", Detailed CV (including list of publications) Research Statement (summarizing past research achievements and future research interests) Three representative publications Three reference letters (or contact information for referees) For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn.
Salary
Competitive salary in the market
Posted
22 Jun 2026
University Assistant Predoctoral, Business, Economics and Statistics
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... University assistant predoctoral 37 Faculty of Business, Economics and Statistics Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2027 Reference no.: 5844 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! Your working area: The Oskar Morgenstern Doctoral School (OMDS) (https://oskar-morgenstern-doctoral-school.univie.ac.at/) fosters the problem awareness and analytical capabilities required by future academic leaders and outstanding researchers to excel and to make a sustainable contribution to society. By combining a theory-driven approach with modern empirical, experimental, statistical, and computational methods, OMDS equips future leaders in academia and industry with cutting-edge tools to address complex societal challenges in economics and business administration. OMDS offers the opportunity of a performance-based completion contract for doctoral candidates who have previously held a position as University Assistant (praedoc) or scientific project staff member (praedoc) at the University of Vienna. This completion contract is designed to support highly qualified fellows in the final phase of their doctoral studies. The successful candidate will be employed as a University Assistant (praedoc) and will be affiliated with the STAIN research group (https://stain.univie.ac.at/) at the Faculty of Business, Economics and Statistics. Your future tasks: You actively participate in research, teaching and administration, which means: Your primary responsibility is the completion and timely submission of your doctoral thesis by the end of the completion contract period. You will maintain regular communication with your supervisor to prioritize your tasks and to ensure the necessary support for the successful completion of your dissertation. You will actively participate in the activities, programs, and workshops of your department as well as of the Doctoral School. You will present your research at international conferences and publish your results in peer-reviewed journals. Where appropriate, you will independently take advantage of further training opportunities (e.g., workshops, training courses, or coaching) to support your academic and personal development. This is part of your personality: Required Qualifications You are enrolled in an active doctoral program at the Faculty of Business, Economics and Statistics at the University of Vienna and are a member of the Oskar Morgenstern Doctoral School. You have successfully completed your public presentation, submitted your doctoral thesis agreement, and have since submitted your annual progress reports on time. You can demonstrate active and regular participation in OMDS activities. You are able to convincingly show that completion and submission of your dissertation can be expected by the end of the funding period. You are able to provide a statement from your supervisory team confirming their willingness to support you during the final phase of your writing process. Desirable Qualifications Solid knowledge of mathematical statistics and probability theory. A strong interest in abstract mathematical problems, combined with persistence and patience in solving them. Enjoyment of academic exchange with colleagues at the institute and within the research group. Programming skills. Excellent command of English (level C1). What we offer: The employment duration is 6 months. Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: With your scientific curriculum vitae. With your letter of motivation outlining a plan for the completion of the doctorate With a summary of your Master’s thesis With copies of your degree certificates and transcripts of records (including grades) from Bachelor’s and Master’s programs With your list of publications and proof of teaching experience (if available) Via our job portal / Apply now - button. If you have any questions, please contact: Johannes Moritz Jirak moritz.jirak@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: 06/28/2026 Prae Doc
Salary
The basic salary of EUR 3.776,10 (on a full-time basis)
Posted
22 Jun 2026
Senior Professional Officer (& above) in Aerospace MRO (Smart Maintenance & Repair Systems)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Professional Officer in Aerospace MRO (Smart Maintenance & Repair Systems) 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. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be 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 strengthening its capabilities in Aerospace Maintenance, Repair and Overhaul (MRO), building a cohort of faculty who are experienced in solving real-world aerospace maintenance challenges through applied research and innovation. Focus areas for Aerospace MRO include: Smart Maintenance & Predictive Diagnostics Digital Twins & Lifecycle Engineering Robotics & Autonomous Inspection Systems Composite Structures Inspection & Repair Advanced Repair Technologies (e.g. Additive Manufacturing) Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Aerospace MRO 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 Aerospace MRO 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 Aerospace Engineering, Mechanical Engineering or a closely related discipline. Strong track record in Aerospace MRO, aerospace systems, or related applied research/industry practice At least 7 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: Predictive Maintenance & Prognostics (PHM) Structural Health Monitoring (SHM) and NDT/NDI Digital Twins and physics-informed modelling Aerospace robotics and autonomous inspection systems Composite materials, damage detection, and repair Additive manufacturing for aerospace repair (flight-certified applications) Aircraft systems, gas turbine maintenance, or MRO best practices Circular economy and sustainable aerospace maintenance Experience Applying Expertise to one or more of the following: Commercial or military Aerospace MRO operations Smart hangar / digital MRO transformation initiatives AI-enabled inspection and diagnostics systems Robotics deployment in maintenance environments Lifecycle management of composite aircraft structures Industry-scale maintenance optimisation and downtime reduction 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.
Salary
Competitive
Posted
22 Jun 2026