Stockholm University

About the University of Bristol: The University of Bristol’s Mumbai campus is an innovative extension of its prestigious UK counterpart, established to promote academic excellence, global collaboration, and impactful industry engagement in one of the world’s most dynamic financial hubs. The campus offers a truly international and cross-cultural academic environment, combining the University’s rigorous academic traditions with the fast-evolving Indian and South Asian business landscape. As part of a growing global network, the Mumbai campus serves as a hub for interdisciplinary learning, applied research, and thought leadership. Faculty members enjoy access to global partnerships, collaborative research opportunities, and the ability to contribute to high-impact academic programmes that prepare students to meet the challenges of an interconnected world. Main Job Purpose The candidate will contribute to the delivery of high-quality teaching, assessment, and dissertation supervision in Data Science / Statistics, at the UG level. The main area of interest is Data Science / Statistics. Main Responsibilities Teaching Responsibilities Teaching at Undergraduate and Postgraduate including assisting with lectures, tutoring, seminars. and computer lab sessions. Acting as a personal tutor to undergraduate and postgraduate students. Supervising UG/MSc dissertations in the relevant area. Marking exams and coursework papers for graduate and undergraduate students; with Curriculum development/enhancement in line with the school ambition/strategy. Actively contributing to the function of the school by attending meetings and seminars and undertaking administrative duties assigned by the Head of School. Proactive approach to professional development and scholarship. Administration Responsibilities If needed, fulfilling the role of unit/course director or aiding unit/course director in the administration, development, and teaching of the relevant unit. Responsibilities are likely to include administering graduate and undergraduate degree programmes (Financial Technology or similar, including new programme development, promotion and admissions; organising and monitoring delivery of units; overseeing the welfare of students; liaising with external examiners; and/or reviewing and revising programmes in accordance with school and faculty policy. Making a wider contribution to the success of the University from their participation in faculty and University wide governance and development activities. Other leadership and administrative duties as assigned by the Head of Group. Relationships Line manager: Assistant Professor Line manager to (where appropriate): Not applicable. Internal Contacts: School and faculty staff School undergraduate and postgraduate students Staff and students in the wider university. External Contacts: Research collaborators. Dissertation supervisors. External Partner Organisations. PERSON SPECIFICATION Relevant Experience, Skills and Knowledge Evidence of experience and ability to teach effectively at undergraduate and master's levels in a relevant discipline, including in small-group and/ or lecture settings. Evidence of a proactive approach to teaching and student engagement. Evidence of taking initiative to improve students’ learning. Evidence of excellent organisational and administrative skills. Experience of effectively supervising undergraduate and masters’ projects and dissertations. Evidence of responsibility for planning your own professional development. Evidence of ability to contribute effectively to the administration and management of the department, school and faculty. Evidence of leadership responsibility in teaching and learning (e.g. leading new courses/programmes and personal tutor role). Relevant Qualifications A Doctorate (e.g. PhD or expected to be completed by the start of appointment) in an appropriate discipline, which fits with teaching specialism/s. HE teaching qualification. Links with accreditation bodies. Digital/Blended learning experience Communication and Interpersonal Skills Excellent interpersonal skills for collaborative working. The ability to communicate effectively both orally and in writing to different audiences. Flexibility and ability to adapt to changing circumstances. Additional Criteria Use of digital learning and collaboration tools and software, e.g. Key languages are R, C++ and Python. For any queries related to your application, email at careers@daskalos.com

Role Overview We are looking for a motivated Material Science and Engineering Engineer to join our team. In this role, you will lead the development and testing of materials for various applications, contributing to innovative projects that drive our mission forward. This involves researching, developing, testing, and processing materials like metals, plastics, and ceramics to improve product performance. You will lead and apply best practices in materials science and engineering. Key responsibilities include analysing material structures at the atomic level, conducting failure analysis, selecting materials for new products, and optimizing manufacturing processes Responsibilities R&D: Lead material selection, development, and characterization for applications in electronics, aerospace, or biomedical devices; evaluate and integrate new analytical instrumentation. Testing & Characterization: Design and execute experiments to evaluate mechanical, thermal, and chemical properties; analyze data to inform design decisions. Failure Analysis: Root-cause investigation of material failures; recommend and validate corrective actions. Process Development: Optimize manufacturing processes (e.g., casting, coating); qualify and collaborate with suppliers with minimal supervision. Collaboration & Communication: Partner with design, manufacturing, and supply chain teams; deliver clear technical reports and presentations. Sustainability & Compliance: Assess environmental impact of materials; maintain lab safety and regulatory compliance. Required and Preferred Qualifications Bachelor's in Materials Science/Engineering or related field + 2+ years of experience in materials R&D or product development. Hands-on experience with materials characterization (e.g., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Technical Skills and Relevant Technologies: Experience with CAD/CAE tools (SolidWorks, ANSYS) and DFM/DFA principles. Knowledge of industry standards (ASTM, ISO) and regulatory frameworks (e.g., ISO 13485 for biomedical). Characterization: SEM/EDS, XRD, DSC/TGA, tensile/impact testing. Software: Thermo-Calc, Materials Studio, Python/R for data analysis, CAD (SolidWorks). Processes: Experience with additive manufacturing, thin-film deposition, or polymer processing. Standards: Familiarity with ASTM, ISO, or industry-specific material specifications.

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