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University of Valencia

Ranked
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Sustainability Impact Rated
Spain
501–600th in World University Rankings 2026
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About the University of Valencia

Basic information and contact details for the University of Valencia

institution

When the University of Valencia was launched in 1502 it specialised in the studies of medicine, humanities, theology and law. The Spanish institution now offers degrees in basic and experimental sciences, engineering, health sciences, humanities, education, and social, economic and legal sciences. Most of the courses are taught in Catalan.

It has three campuses: the Blasco Ibáñez and Tarongers sites in the centre of the city and the Burjassot-Paterna campus in the municipal districts to the north-west. Classes are also held at Ontinyent and Gandia, both of which are south of the city in the Valencian Community.

The University of Valencia is made up of 18 faculties and schools and 19 interdisciplinary research institutes. Altogether it offers more than 50 bachelor programmes, 110 master’s degrees and 60 doctoral programmes.

Its science park is home to more than 80 start-up companies and six research institutes including the Astronomical Observatory. The university also has its own botanical garden, which was founded in 1567 and was originally used to grow medicinal plants for its medical school. It was then used to hold classes in botany and carry out acclimatisation experiments and today the garden carries out research into plant diversity and conservation.

The city of Valencia itself - Spain’s third largest city - also has much to offer. Situated on the country’s Orange Blossom Boast, it is home to the City of Arts and Sciences, one of the 12 Treasures of Spain and a cultural complex including a cinema, museums, gardens, arts centre and aquarium.

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Key Student Statistics

A breakdown of student statistics at the University of Valencia

gender ratio
Student gender ratio
64 F : 36 M (1)
globe fill
International student percentage
14% (1)
student per staff
Students per staff
13.1 (1)
student
Student total
48963 (1)

Based on data collected for the (1) World University Rankings 2026

Jobs you might be interested in

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Lecturer in Interaction Design (Education Focused)

UNIVERSITY OF SYDNEY

The University of Sydney

Australia, Darlington

institution

The University of Sydney

Australia, Darlington


Full time, fixed term until 30 June 2029, located on the Camperdown Campus Contribute to teaching in Design at The Sydney School of Architecture, Design and Planning Base Salary Level B $127,436 p.a. - $151,328 p.a. + 17% superannuation About the opportunity The Sydney School of Architecture, Design and Planning is an internationally acknowledged centre for intellectual, scientific, and creative research, and attract the highest quality scholars in Australia. Creatively combining the disciplines of Architecture, Urbanism and Design, we explore how cities, spaces, buildings, technologies, and services can better meet the needs of people and society. Our educators and researchers are experimental, imaginative, and critical, innovating at the boundaries of their disciplines and creating exciting and engaging learning experiences for our students – the global citizens of tomorrow. The Discipline of Design is rapidly growing and highly successful within the school. Our research explores and contributes to better futures: we envision, define, and inform the interactions between people, technologies, organisations, and society. Pushing the boundaries of pedagogical practice in interaction and innovation, we encourage our students to critically rethink and prototype new objects, systems, experiences, and materials that shape human experience and life on the planet through the lens of design. To address these huge and critical problems, our design staff come from all kinds of backgrounds, including engineering, psychology, musical composition, digital media, social sciences, community activism, and robotics. Recognising that design cannot happen in isolation, we actively collaborate across disciplines and with external partners, including industry, not-for-profit, government and community groups and organisations. Your key responsibilities will be to: deliver excellent teaching in core and elective units of study either leading casual academic teaching groups or teaching in studio yourself in collaboration with program directors and unit coordinators, ensure measurable and sustained improvements in student experience and satisfaction contribute to the evaluation of student experience and development of improved education delivery contribute to teaching and learning innovations including work-integrated learning. About you We are seeking an education‑focused candidate who understands the principles and pedagogy of effective curriculum and assessment design, and who will make a significant contribution to enhancing the student experience at the University. The successful candidate will demonstrate an understanding of, or a willingness to develop expertise in, research‑informed approaches to teaching and learning design, delivery, and evaluation. We are therefore looking for a Lecturer in Interaction Design (Education Focused) who has: a PhD, or nearly completion, in interaction design, human-computer interaction or cognate field, or equivalent professional experience in emerging technologies sound experience of teaching and learning in immersive technologies, UI/UX design, information visualisation, web design, front-end/back-end web technologies, artificial intelligence and/or creative coding, and the ability to contribute to teaching at undergraduate, honours and postgraduate levels in lecture, tutorial and practical settings experience in contributing to outstanding educational design, delivery, evaluation and outcome a developing network of relationships with key academic, industry or professional institutions partners and stakeholders demonstrated experience in supervising or mentoring others and/or coordinating team activities. a collegial approach and willingness to contribute to academic governance, engagement, and administration. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Helen Efstathiou, Recruitment Consultant, Recruitment Operations on +61 2 8627 7137 or by email helen.efstathiou@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Tuesday 14 April 2026 11:59 PM

Salary

$127,436 p.a. - $151,328 p.a. + 17% superannuation

Posted

17 Mar 2026

Professor / Associate Professor / Assistant Professor, Department of Physics

HONG KONG BAPTIST UNIVERSITY

Hong Kong Baptist University

Hong Kong

institution

Hong Kong Baptist University

Hong Kong


Job Description FACULTY OF SCIENCE DEPARTMENT OF PHYSICS The Department has focus research areas in (a) Advanced Materials & Energy and (b) Biophysics & Complex Systems. Interdisciplinary research is actively promoted by the Faculty of Science, fostered under the University-wide six Interdisciplinary Labs (https://interdisciplinary-research.hkbu.edu.hk/), and supported by state-of-the-art infrastructure and facilities, such as the Life Science Imaging Centre (https://research.hkbu.edu.hk/resources/facilities-and-labs/hkbu-life-science-imaging-centre). Being part of a rapidly evolving research and educational landscape in the region, the Department strives to nurture leadership in emerging fields of transdisciplinary science, in particular advanced materials and device physics for biomedical/healthcare and green energy applications, big data and AI in smart sensor technology, and quantitative and systems biology. These efforts are supported by infrastructural and internationalisation initiatives at the University level and grounded on the Department's research achievements (evidenced by extensive international collaborations, external reviews such as Research Assessment Exercise (RAE), start-up companies and prestigious awards). The Department invites applications for a tenure-track faculty position at the rank Professor / Associate Professor / Assistant Professor. Professor / Associate Professor / Assistant Professor (25260372) Responsibilities: The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. Requirements: The candidates should have a PhD degree in Physics, Microelectronics, Advanced Materials or other relevant disciplines, a proven track record of collaborative research and a strong commitment to teaching. Experimental scientists with strong expertise in soft matters, biomaterials, flexible electronics, and electronics with living systems for applications in health monitoring, biomedical sensor devices, and multi-functional human-machine interaction, such as wearable electronics, microchip implant for machine-brain interface, tissue repair, and disease diagnosis, monitoring and treatment, are especially encouraged to apply. The appointee is expected to conduct world-class research and to teach at the undergraduate and postgraduate levels. For enquiries, please contact Prof. Shu Kong SO, Head of Department (email: phys@hkbu.edu.hk) More information about the Department can be found at https://physics.hkbu.edu.hk/  This is a tenure-track position with an initial appointment to be made on a fixed-term contract of three years. Re-appointment thereafter is subject to mutual agreement. Tenure is expected to be attained within six years. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with Job Identification number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit@hkbu.edu.hk) directly. Those who are not invited for interview 4 months after the submission of application may consider their applications unsuccessful. All application materials, including publication samples and scholarly/creative works, will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the positions are filled.

Salary

Competitive

Posted

17 Mar 2026

Research Engineer/ Research Fellow (Design Factory, in Material Science and Engineering Area) - NCP

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


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.

Salary

Competitive

Posted

18 Mar 2026

Associate Professor / Professor – BS Computer Science / Artificial Intelligence

ILLINOIS INSTITUTE OF TECHNOLOGY

Illinois Institute of Technology

India, Air Parcel Sorting Office/Mumbai

institution

Illinois Institute of Technology

India, Air Parcel Sorting Office/Mumbai


Associate Professor / Professor – BS Computer Science / Artificial Intelligence Teaching-Track Faculty Position Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech), based in Chicago, USA, is a private, Ph.D.-granting research university with globally recognized programs in architecture, engineering, computing, sciences, humanities and social sciences, psychology, business, law, and design. Illinois Tech is ranked #1 in Illinois and #23 nationally in The Wall Street Journal’s “America’s Best Colleges 2024.” The College of Computing at Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The Mumbai campus will offer the following degree programs: Bachelor’s in Computer Science Master’s in Computer Science Bachelor’s in Artificial Intelligence Master’s in Artificial Intelligence Master’s in Data Science To support these programs, Illinois Tech invites applications for Associate Professor and Professor teaching-track faculty positions focused on undergraduate (BS) programs in Computer Science and Artificial Intelligence. Position Summary Illinois Institute of Technology invites applications for Associate Professor and Professor level teaching-track faculty positions for its Mumbai campus. These positions will primarily focus on delivering high-quality undergraduate instruction for the BS programs in Computer Science and Artificial Intelligence. Candidates should demonstrate a strong commitment to teaching excellence, student mentorship, and curriculum development. Senior faculty will also contribute to academic leadership, program development, and mentoring of junior faculty, helping establish a strong academic foundation for Illinois Tech’s Mumbai campus. Courses will be delivered in person in Mumbai, India, and online teaching is not an option. Key Responsibilities Teach undergraduate courses in Computer Science and Artificial Intelligence Deliver foundational and core courses including: Object-Oriented Programming Data Structures Discrete Structures Computer Organization Introduction to Machine Learning Contribute to curriculum development and course design Mentor and advise undergraduate students Participate in departmental, college, and campus service activities Provide academic leadership and mentorship to junior faculty Support the development and growth of Illinois Tech Mumbai academic programs Special consideration will be given to candidates with experience or interest in: Object-Oriented Programming Data Structures Discrete Structures Computer Organization Machine Learning Applicants must have: A minimum of an M.S. (or equivalent) in Computer Science or a closely related field by the start of the appointment Ph.D. is strongly preferred Demonstrated excellence in teaching at the university level Strong communication and interpersonal skills Ability to teach core undergraduate computer science and AI courses For Associate Professor and Professor-level candidates, the following are preferred: Significant experience teaching undergraduate computing courses Evidence of curriculum development or academic leadership Experience mentoring students and junior faculty A record of scholarly or professional contributions in computer science or artificial intelligence Application Requirements Applicants must submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement detailing teaching experience, teaching philosophy, and teaching interests Names and contact information for three or more professional references The faculty will deliver courses in person in Mumbai, India. Online delivery is not an option. If you are unable to upload the documents, please share your application pack at careers@daskalos.com

Salary

Competitive

Posted

18 Mar 2026

Postdoctoral Researcher, Industrial Intelligent Agent Research Center

XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)

Xi'an Jiaotong-Liverpool University

China, Suzhou

institution

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

18 Mar 2026

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Subjects Taught at the University of Valencia

See below for a range of subjects taught at the University of Valencia

Arts and Humanities

  • Architecture
  • Art, Performing Art and Design
  • History, Philosophy and Theology
  • Languages, Literature and Linguistics

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

  • Chemical Engineering
  • Electrical and Electronic Engineering

Law

  • Law

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science

Medical and Health

  • Medicine and Dentistry
  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies
  • Geography
  • Politics and International Studies
  • Sociology