École Polytechnique – Institut Polytechnique de Paris

Are you practical, hands-on, and enjoy variety in your working day? Do you like working as part of a team, supporting students, and being in an active environment where no two days are the same? If so, we have an exciting opportunity to join the School of Veterinary Medicine at the University of Surrey, supporting our Veterinary Anatomy teaching laboratories. This is an excellent opportunity to work in a respected and forward-thinking veterinary environment, contributing directly to the training of future veterinary surgeons. You’ll be supported to develop your skills and will gain experience in a specialist technical role with real impact. The Role As a Teaching Support Technician (Anatomy), your principal focus will be to provide technical support within the Veterinary Anatomy laboratories, supporting academic staff and students during anatomy teaching sessions and lab placements. Working closely with the Senior Anatomy Technician and the wider technical team, you will be involved in a wide range of practical activities including: Setting up and cleaning down veterinary anatomy teaching sessions Cadaver preparation to support teaching delivery Setting up teaching iPads and ensuring equipment is ready for classes Managing PPE, including laundry and maintaining stock Assisting with ordering teaching supplies and consumables Collecting cadavers and specimens from veterinary practices, charitable shelters and abattoirs using a University van Supporting safe working practices, including laboratory equipment checks, waste disposal, COSHH compliance and standard operating protocols Assisting with the design and development of teaching models, including practical model making using silicone materials and wood/metal work This role provides a fantastic opportunity to develop skills in anatomy laboratory work, dissection/prosection techniques, and model development while supporting teaching across all five years of the Veterinary Medicine programme. About You We are looking for an enthusiastic and motivated individual with a practical approach to work and a genuine interest in veterinary science or laboratory-based support. You will ideally have experience in a laboratory or veterinary environment and be confident working safely with biological samples. You’ll enjoy being part of a busy team, working to tight schedules, and supporting teaching delivery in a professional and collegiate manner. You will also have: A full UK driving licence (essential) Experience driving larger vehicles such as a Transit van, 4x4 or trailers (desirable) A good understanding of Health & Safety procedures and safe laboratory working practices Strong organisational skills and the ability to prioritise your workload Good DIY skills and an interest in model building A flexible and adaptable attitude, with a willingness to learn Formal qualifications are welcomed (HNC, A Level, NVQ Level 3 or equivalent), but relevant practical experience in a technical or scientific role is equally valuable. Physical Requirements This is a physically demanding role. The post holder must be physically fit and able to lift/carry at least 13kg, with heavier loads moved using lifting equipment or with assistance. The role also requires driving a large Transit-type vehicle to off-site locations including abattoirs and other establishments. Working Pattern The role requires flexibility to work between 08:00–18:00, Monday to Friday, on a pre-determined rota. How to Apply To apply, please submit your CV and a cover letter detailing your suitability for the role. If you would like to discus this role further, please contact Tom Hussey (Pathology & Building Facilities Manager) on either 07773577766 or t.hussey@surrey.ac.uk. Interviews will be held on Monday 30th March. Further details Job Description

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Mathematical Foundations of Computing Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is an advantage. The successful candidate will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach undergraduate courses in the Computer Science (CSE) program and possibly a sibling program dedicated to Artificial Intelligence (AI), as well as graduate courses in the Computer Science (MCS). The expected workload for the in-class lecture conduct is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, comprising lectures on two to four modules from the following areas: Calculus Algebra Discrete Mathematics Statistics Theoretical Computer Science Applied Maths for CS Mathematical foundations of Machine Learning The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring Ph.D. students. Research Responsibilities As a faculty member of a research-oriented university, the successful candidate is expected to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in one or several of the following fields: optimization (including lost/cost functions, stochastics), statistics (including Bayes' theorem, sampling, cross-entropy loss), computational complexity & automata theory (including advanced algorithms, formal methods), and foundations of machine learning (including linear algebra and calculus). The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the Computer Science Program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a Ph.D. in Applied Mathematics, Mathematics, Statistics, Computer Science, Engineering or a closely related field, preferably from a well-known international university. Those in the final stages of their doctoral studies may also be considered, provided they demonstrate exceptional promise. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on derivatives & gradients, linear transformations, lost/cost functions, stochastics, computational complexity, logic, graph theory or other areas closely related to it Proven expertise in techniques for descriptive statistics, vectors & matrices and combinatorics Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area Proven teaching experience with strong self-motivation combined with a passion for teaching and research Experience in industry is of advantage Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1] Employment benefits The successful candidate will integrate himself/herself into an initiative on AI research and several interdisciplinary research groups at VGU. He/she enjoys access to state-of-the-art laboratories. VGU is currently acquiring powerful AI servers, workstations and data storage to enable long-term research. VGU provides institutional research grants of up to 350 million VND per project and offers financial support for faculty to attend national and international conferences and publish their research. VGU's partnerships with German universities provide lecturers with funding opportunities for research and academic exchange. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Mathematical Foundations of Computing_[Your Name]" Your application should include: Form for basic information (Please download here, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if available, highly appreciated) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Program Academic Director at rschorr@fb2.fra-uas.de and/or Program Academic Coordinator at son.ll@vgu.edu.vn About us The Vietnamese-German University (VGU) is a state university in Vietnam. Founded in 2008, VGU is a joint venture based on close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.

Faculty of Humanities and Social Sciences PhD Scholarship available in the School of International Studies, University of Nottingham Ningbo China. See: https://www.nottingham.edu.cn/en/GraduateSchool/Funding-opportunities/Opportunity.aspx?id=d93d1344-18c9-4a9d-b98b-96691a37f1ef&language=en-GB Scholarship includes tuition waiver and stipend (up to 36 months) Deadline: March 31, 2026 Research areas in the School of International Studies include: International relations, IR theory, International security, Area studies (East, South-east, and South Asia; Europe and Eurasia, Africa; Middle East; the Americas; Australia/New Zealand, South Pacific, Asia-Pacific), Sino-European relations, Peace and conflict studies, Humanitarianism, Military and civilian interventions, NGOs and international organisations, International political sociology; International public policy, Public Administration. History: European and world history; Chinese history; Social and political history; Empires and colonialism; History of Christianity; Refugee history; History of childhood; Public policy history; Economic and intellectual history; Heritage studies. For more information about the School, please see the School’s website (https://www.nottingham.edu.cn/en/humanities-and-social-sciences/schools-and-department/international-studies/home.aspx) For research proposal discussion, please contact Dr Rosaria FRANCO (Rosaria.Franco@nottingham.edu.cn)