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Faculty Positions in Industrial Intelligent Agent Research Center (Assistant Professor)
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. 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. Job Description We cordially invite applications for Assistant Professor positions from individuals with outstanding research potential in Industrial Intelligent Agents and related fields. Successful candidates will conduct frontier research, join research teams, and participate in the center's core technology initiatives. We particularly welcome scholars with outstanding achievements in areas such as Industrial AI, Intelligent Control Systems, and Industrial Software. Key Responsibilities Scientific Research: Conduct innovative research in core directions of Industrial Intelligent Agents, including but not limited to: Autonomous Decision-Making Systems, Industrial Digital Twins, Intelligent Operation & Maintenance, Advanced Process Control, etc. Actively apply for research grants such as the National Natural Science Foundation of China, Jiangsu Provincial Natural Science Foundation, and industry-sponsored projects. Publish high-quality academic papers in top-tier international journals and conferences. Talent Cultivation: Teach undergraduate and postgraduate courses. Supervise PhD and Master's students. Develop cutting-edge courses and experimental teaching systems related to Industrial Intelligent Agents. Academic Service: Participate in the center's important academic activities and international collaboration projects, assisting in enhancing the discipline's influence. Promote the industrial applications of research outcomes, engaging in deep collaboration with the center's partner enterprises. Qualifications Essential Requirements: A Ph.D. (obtained or soon to be obtained) in Automation, Computer Science, Artificial Intelligence, Mechatronics, Mechanical Engineering, or a related field. Solid theoretical foundation and outstanding research capabilities, with first-author publications in high-level international journals in related fields. Good teaching potential and communication skills, capable of teaching in English. Team spirit and ability to conduct research independently. Preferred Qualifications: Experience with industrial field projects or familiarity with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas research experience or experience collaborating with industry. 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 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 salary in the market
Posted
22 Jun 2026
Senior Professional Officer (& Above) (Innovation for Community and Allied Health)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Job Purpose The Professional Officer will support applied research and innovation in community and allied health, working with internal teams and industry partners to develop practical solutions. The role focuses on translating clinical and operational needs into scalable solutions that address challenges in meeting healthcare innovation targets through care automation, digital health, and other sustainable solutions for the community care sector. Professional Officers are expected to bring a strong healthcare-sector leadership track record, preferably at Assistant Director level or above, with proven experience in managing a business unit, service line, programme office, or multi-disciplinary delivery team. The role requires a hands-on leader who has carried business or KPI targets, generated industry projects through business development and partner engagement, secured funding or other cashable resources, and personally driven project execution to deliver measurable healthcare innovation outcomes, including project completion, value capture, manpower training, ecosystem outreach, and NRF KPI delivery evidence. Key Responsibilities Applied Research & Development Conduct reviews on healthcare innovation literature, frameworks, and assessment tools for both generic industry-wide and sector-specific applications, such as care automation, anti-frailty programmes, and cognitive screening technologies. Develop healthcare solution road mapping and development frameworks to support the identification and follow-through of innovation solutions for community and aged care providers. Support the development of healthcare solutions and applications through project execution (experimentation, data collection, analysis, and evaluation). Industry Collaboration Support collaborations with industry partners — Community & Aged Care Providers, Healthcare & Population Health Partners, and Technology Solution Providers — to understand problem statements and contribute to solution development. Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners). Participate in industry meetings, discussions, and project engagements to build and maintain the ICAH ecosystem network. Project Execution & Support Assist in leading the planning and execution of multiple healthcare innovation projects to ensure timely delivery of outcomes, specifically tracking the committed NRF KPIs: IaaS Service Volume, Innovation Initiatives, Value Capture, Manpower Training, and Ecosystem Establishment, with clear documentation of industry project completion, value generated, funding secured, partner commitments, and team contribution. Generate technical reports, presentations, and documentation on the development of healthcare solutions and applications, including the monthly ICAH operations report for management. Contribute to grant proposals and project submissions where required. Track project progress and maintain proper documentation of activities across the secured and pipeline project portfolio, including milestone status, risks/issues, partner commitments, funding status, value-capture evidence, training outcomes, and ecosystem outreach. Support the IaaS Center for Community and Allied Health Innovation in achieving measurable NRF KPI outcomes, including delivery of data analytics, innovation initiatives, value capture, manpower training, and ecosystem-establishment targets. Assist in leading the team to complete 12 data analytics projects and digital dashboards for industry, hospitals, aged homes, or non-profit organisations. Support the securing of $2M in industry- or agency-funded projects, new grants, or other cashable resources for SIT. Assist in leading the team to deliver 30 innovation projects and support deployment of 20 new or improved products, processes, or services to industry, hospitals, aged homes, or non-profit organisations. Support delivery of technologies and solutions through IaaS initiatives that help organisations generate S$11 million in cost savings and/or new businesses. Train 120 company employees and/or healthcare professionals on innovation solutions implemented by IaaS, enabling dissemination and sharing of best practices with industry and other healthcare providers through workshops. Provide Assistant Director-level or equivalent leadership exposure in healthcare-sector project delivery, including ownership of business unit, programme, service-line, or portfolio targets; stakeholder engagement with care providers, hospitals, aged-care operators, allied health partners, industry solution providers, and internal research/engineering teams; and hands-on follow-through to convert opportunities into funded projects and implemented outcomes. Oversee the allocation and integration of contributions from Research Engineers with different skill sets, ensuring that each workstream contributes its share to the overall NRF KPI delivery plan. Job Requirements Bachelor's degree in Health Sciences, Biomedical Engineering, Business Administration, Healthcare Management, Public Health, Nursing, Allied Health, or related disciplines, Master's degree preferred. Minimum 7 years' relevant experience with substantial work experience in healthcare, community care, aged care, allied health, digital health, healthcare operations, product development, or healthcare innovation. Demonstrated healthcare-sector leadership track record, preferably equivalent to Assistant Director level or above, in leading a business unit, programme office, service line, project portfolio, or multi-disciplinary delivery team in healthcare, community care, aged care, allied health, digital health, or applied innovation settings. Possess understanding of healthcare innovation concepts (e.g., clinical validation, commercialisation, care automation, health economics). Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Ability to evidence the value of projects delivered, including project quantum, business scale handled, cost savings, productivity outcomes, new business generated, or other measurable value-capture outcomes. Experience in securing or supporting industry-funded projects, agency-funded grants, or equivalent cashable resources, with ability to document funding quantum and stakeholder commitments. Proven accountability for business, operational, revenue, funding, or KPI targets, with experience in business development, partner engagement, proposal shaping, project generation, and conversion of industry or healthcare needs into funded projects, grants, pilots, deployments, or other cashable resources. Ability to both lead and personally contribute to delivery, including scoping, execution, stakeholder management, documentation, value capture, risk/issue resolution, and hands-on troubleshooting on the ground. Relevant exposure to healthcare service innovation, care automation, clinical workflow optimisation, digital health implementation, health economics, value capture, training delivery, and ecosystem-building activities will be advantageous.
Salary
Competitive
Posted
22 Jun 2026
GSMI - Post-Doctoral Researcher in AI, Autonomy and Digital Platforms for Drones
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time synchronization and analytics. IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems. Validation: Participate in field trials for performance and reliability testing. Expected Outcomes: Contribution to AI-enabled UAV demonstrator (TRL 6). Support in the deployment of a digital mission platform. Participation in academic or industrial publications and reports. Profile of the Research Assistant Candidate & Application Materials: Engineering degree or equivalent in Computer Science, Robotics, or Electrical Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development. Application materials: CV, cover letter, and one recommendation letter.
Salary
Competitive
Posted
22 Jun 2026
Human-Computer Interaction - Teaching Faculty Position
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Mohamed Bin Zayed University of Artificial Intelligence
United Arab Emirates, Abu Dhabi
Description The Human-Computer Interaction (HCI) area in the Computing and Mathematical Sciences Division at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Teaching Faculty in the field of Human-Computer Interaction (HCI) for a six (6) month to one (1) year term. The successful candidate will be responsible fordelivering high-quality instruction, mentoring students, contributing to curriculum development, and will also have the opportunity to collaborate with leading AI researchers. We are seeking faculty at all levels (Assistant, Associate, Full Professor) to: Deliver courses in Human-Computer Interaction (HCI), User Experience (UX), Interaction Design (IxD), Service Design and related areas. Develop course materials, including lectures, assignments, exams, and lab exercises. Foster an engaging and inclusive classroom environment that encourages student interaction and critical thinking. Provide timely feedback and academic guidance to students. Supervise student research projects, theses, and dissertations. Mohamed bin Zayed University of Artificial Intelligence(MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good. The UAE’s visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster an innovation ecosystem, and act as a strategic think tank for the public and private sectors. The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our groundbreaking academic research initiatives are working on developing future solutions that will impact the world and change the way we imagine things. Qualifications This position requires: A Ph.D. in Human Computer Interaction (HCI), Computer Science, Information Science, Cognitive Science, Design Engineering or a related field by the time of appointment. Demonstrated potential (for Assistant level) or established excellence (for Associate/Full level) in teaching and mentoring. Application Instructions To apply for this position, please submit the following: Cover Letter Curriculum Vitae Statement of teaching interests, and experience with evidence of courses taught Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio)
Salary
Competitive
Posted
22 Jun 2026
PhD Position in Atmospheric Transport Modelling of Pollution Caused by the Space Industry
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
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 PhD position in atmospheric transport modelling of pollution caused by the space industry (4 years) 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5784 The research group “Atmospheric Transport Processes,” led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and uses inverse modelling techniques to determine sources of greenhouse gases, radionuclides, or air pollutants. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/. To learn more about FLEXPART, visit https://www.flexpart.eu/. In the framework of the new research platform SPACETRACE (Pollution of the Atmosphere by a Rapidly Growing Space Industry) four new PhD positions are available, of which one is within our group and will focus on the transport of space-industry emissions in the atmosphere. Your personal sphere of influence: We seek a highly motivated PhD student, who will carry out Lagrangian transport model simulations with FLEXPART, of the emissions originating from rocket launches as well as re-entering space objects. The PhD student will characterize transport patterns and timescales and will investigate transport differences between gaseous tracers (e.g., nitrogen oxides) and aerosols of different sizes (e.g., alumina particles). The student will work closely with the other three PhD students who will work on related topics. Your future tasks: Quantify the emissions caused by the space industry; Characterize the circulation patterns relevant for the emissions, and quantify concentrations and residence times of the emissions in different parts of the atmosphere (e.g., mesosphere, stratosphere, troposphere), Further develop the Lagrangian transport model FLEXPART as required for this application; Perform case studies and compare simulation results with measurement data, e.g., as obtained by aircraft measurements in the stratosphere; Publish your scientific results in peer-reviewed journals; Teach classes within our bachelor or master programs in Meteorology (independently / within the scope of the provisions of the collective agreement); Strengthen the collaborative culture of our team and the Department. Become an active member of the Vienna International School of Earth and Space Sciences (VISESS / doctoral school). This is part of your personality: Completed master or diploma in the atmospheric sciences (e.g., meteorology, climatology), or a related field; Strong programming skills; Data analysis and interpretation experience; A good team spirit and willingness to collaborate; Very good command of the English language. These skills would be an advantage: Experience with Lagrangian transport models; Expert knowledge of programming, preferably in Python and/or Fortran; Experience with space-industry based emissions and their impact on the atmosphere. What we offer: VISESS doctoral school: You will enroll in the Vienna International School of Earth and Space Sciences, which offers specific education and training events. Inspiring and supportive working atmosphere: You will be part of an international team in a healthy and fair working environment with excellent research infrastructure. You will not perform your work in isolation but collaborate with a strong research team. Fair salary plus health care and social benefits: The gross monthly salary of at least EUR 3.776,10 on a full-time basis (payable 14 times per year, amount as of 1 January 2026) allows for a comfortable life in a vibrant city with affordable housing prices and quick access to the outdoors. Work-life balance: You have flexible working hours and the option to partly work remotely upon agreement ("telework" / within Austria). Training and coaching: We offer you the opportunity to develop your skills on an ongoing basis. Equal opportunities for all: We welcome diverse personalities in our team! The University of Vienna aims to become carbon neutral by 2030: We fully support low-carbon options for travelling. The employment duration is 4 years. lnitially 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 nonextension declaration. The position as university assistant (predoctoral) is available from August 2026. The review of applications will begin on 10 July, 2026. The search will continue until the decision is made but we aim for a decision as soon as possible after that. It is that easy to apply: With a short letter stating your interest in the position; With your CV including a list of publications; With contact details of two persons who could provide a recommendation upon request; Via our job portal / Apply now - button. If you have any questions, please contact: Andreas Stohl andreas.stohl@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: 07/09/2026 Prae Doc
Salary
EUR 3.776,10 on a full-time basis (payable 14 times per year, amount as of 1 January 2026)
Posted
22 Jun 2026
