Université d’Ain Témouchent

Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of future structures and resilient infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications; and previous or relevant experience in mentoring or supervising undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences, mentor undergraduate students, and participate in writing research grant proposals. To be considered, all applicants must submit the following documents in PDF format via Interfolio: Cover letter Curriculum vitae with full publication list Statement of research interests and plan Transcript 2 Recommendation letters  Three sample (recent and/or most relevant) journal publications Contact details of two references The terms of employment include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children (if applicable). Applications will be accepted immediately and candidates will be considered until the positions are filled. If you have any questions or require more information, please email: mohamed.moustafa@nyu.edu About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. UAE Nationals are encouraged to apply

Location: Chengdu, China (On-site) Institute: CDUT-Oxford Brookes College Programme: MSc in Management and Business Analytics Start Date: September 2026 or earlier We are seeking highly motivated and qualified academics to join our dynamic team at the CDUT-Oxford Brookes College. This role is at the heart of our new MSc in Management and Business Analytics, a programme designed to equip students with the unique combination of technical analytical skills and strategic leadership capabilities required to thrive in today's data-driven business world. If you are an educator who can bridge the gap between data science and management practice, we want to hear from you. The Role You will deliver high-quality, engaging teaching across the programme's core modules, which integrate management theory with practical business analytics. Your teaching portfolio will span both the analytical and leadership dimensions of the curriculum, including: Business Analytics & Data-Driven Core: Business Analytics (AISO7003): Guiding students through data preparation, visualisation, and modelling using analytical tools and programming languages. Data Driven Decision Making (AISO7004): Teaching students to apply decision science frameworks and simulation techniques under conditions of uncertainty. The Practice of Data Analysis (AISO7002): Equipping students with statistical and econometric skills to examine data and produce actionable business intelligence. Business Intelligence (AISO7001): Demonstrating how to collect, integrate, analyse, and present business information to support strategic decisions. Management & Leadership Core: Organisational Behaviour, Leadership and Change (BMGT 7077): Exploring the human and cultural dimensions of managing change in modern, diverse organisations. Developing Skills for Leadership and Employability (BMGT 7076): Fostering students' self-awareness, reflexivity, and interpersonal skills for effective leadership and career development. Research Methods (BMGT 7021): Preparing students to conduct rigorous, ethical research, culminating in a dissertation or client project with a business analytics focus. This role requires a unique ability to help students understand how analytics informs leadership decisions. You will teach students to move from data preparation and statistical analysis to strategic interpretation and managerial action, always with an emphasis on ethical practice, sustainability, and responsible management. In addition to postgraduate teaching, you will be expected to teach and mentor final-year (Level 6) undergraduate students enrolled in the dual bachelor's degree, including supervising their final year research projects. The teaching load is up to 20 class periods per week. Due to the profile of our students, who are often working professionals, teaching may be scheduled in the evenings or on weekends. You will also provide at least 6 class periods per week of office hours for student support and mentorship. Key Responsibilities: Deliver innovative, practical, and theoretically grounded teaching across both business analytics and management/leadership modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and statistical software to analyse data, while simultaneously developing their leadership, communication, and change management capabilities. Guide students in understanding how data-driven insights translate into strategic business decisions, fostering a holistic approach to management. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied business analytics problems. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested.  Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Uphold the highest standards of education and scholarly engagement, integrating principles of sustainability, ethics, and responsible management into your teaching. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Business Analytics, Management Science, Data Science, Organisational Behaviour, or a closely related field with a strong quantitative focus. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach both technical analytics skills and management/leadership concepts, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data analysis (e.g., Python, R) and statistical software. A strong understanding of management principles, including organisational behaviour, leadership, and change management. Proven experience in supervising postgraduate dissertations and/or undergraduate final year research projects. Excellent communication and interpersonal skills, with the ability to work effectively in a cross-cultural environment. A commitment to fostering student success and a positive learning experience. Willingness to teach in the evenings or on weekends as required. Desirable: Experience teaching within the British higher education system or on British university modules. Experience teaching in transnational education (TNE) or joint programme settings. A postgraduate degree (PhD or Master's) obtained from a British university. An emerging or established research profile in business analytics, data-driven decision-making, or a related field, evidenced by publications. Experience with industry collaboration or applied analytics projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with business intelligence tools and platforms. Experience teaching or working at the intersection of data analytics and management practice. Equality, Diversity, and Inclusion: We are committed to building a diverse and inclusive academic community. Female candidates are strongly encouraged to apply. Salary & Benefits: Competitive Package: An attractive salary commensurate with qualifications and experience. Relocation Support: Comprehensive support including annual flight allowance. On-campus accommodation or a housing allowance may be available subject to availability and university policy at the time of appointment, and full visa/residence assistance. Career Growth: Opportunities for personalised professional development and career advancement. Research Opportunities: Potential to engage in research aligned with the institute's strategic goals. Lifestyle Assistance: Dedicated support team to help with all aspects of living and settling in Chengdu. About CDUT-Oxford Brookes College The CDUT-Oxford Brookes College is a prestigious transnational education partnership between Chengdu University of Technology (CDUT) and Oxford Brookes University, United Kingdom. CDUT has offered TNE programmes since 2004. The college is home to around 100 academic staff members serving a student body of over 2,000. Our qualified and experienced faculty deliver a range of programmes, currently offering four undergraduate degrees in Business Management, Accounting and Finance, Software Engineering, and Computer Science. The Institute is now expanding to offer postgraduate programmes, including this new MSc in Management and Business Analytics. As a member of our faculty, you will join a collaborative and supportive academic community committed to fostering student success and advancing cross-cultural education. About the City Chengdu, the capital of Sichuan Province, is one of China's most dynamic and liveable cities. The university is conveniently located in the city area, with easy access to Metro Lines 7 and 8, allowing for effortless travel across the city. Known for its rich history, vibrant culinary scene, and relaxed lifestyle, Chengdu offers an exceptional quality of life. With its modern infrastructure, growing expatriate community, and relatively low cost of living compared to other major Chinese cities, Chengdu provides an ideal setting for international academics. How to Apply Interested candidates are invited to submit their application materials to careers-pg@zy.cdut.edu.cn Please submit the following: A detailed CV outlining your academic qualifications, teaching experience, research profile, and relevant professional experience. A cover letter (max. one page) explaining your teaching philosophy, preferred module(s) and how your skills and experience align with the selection criteria. Application Deadline: May 22nd, 2026 Shortlisted candidates will be asked to complete our internal job application form and will receive further details on salary and benefits. For inquiries about the position, please contact Waseem Abbasi at waseem@zy.cdut.edu.cn Due to the large number of applications, only shortlisted candidates will be contacted. We prefer to hire staff members who intend to stay for several years. The partnership is an equal opportunities employer, but successful candidates must be able to meet the requirements to obtain a Chinese work permit. We look forward to receiving your application and welcoming you to our team in Chengdu.

Department: Department of Internal Medicine - Hematology and Oncology – Faculty of M: dicine Deadline: 7 Jun 2026 Start date: June 2026 or later by agreement Job type: part-time Job field: Science and research | Education and schooling The Dean of the Faculty of Medicine of Masaryk University appoints a selection procedure for the position Associate Professor for the Department of Internal Medicine - Hematology and Oncology  (with shorter working hours, 24 hours per week) Department of Internal Medicine - Hematology and Oncology is a joint department of the Faculty of Medicine at Masaryk University and University Hospital Brno. In addition to providing medical care, it engages in educational, scientific, and research activities. In the field of teaching, the clinic primarily provides practical training in medical disciplines (hematology, oncology, internal medicine) as well as in other healthcare-related fields (embryology, nutritional therapy). You can learn more about us on our department’s website as well. The scope of your work will be: participation in the education of students in Master’s and doctoral study programmes participation in final examinations/examination boards collaboration in the research and development activities of the department, including publishing and presenting research results (research areas: hematologic malignancies and predisposition to blood disorders) Required qualification: completed university education in medicine or a biological science field completed education in a doctoral study programme habilitation in accordance with the Higher Education Act, as amended; this requirement may be substituted by long-term academic experience in an equivalent position abroad research experience in the field (biology, hematology, genetics), as well as teaching experience ability to conduct independent professional and scientific work (documented by previous publication activity) ability to actively participate in international conferences or professional seminars and to establish research collaboration with international partners active command of the English language excellent command of the Czech language, both spoken and written proactive approach, initiative, creativity, organisational skills, and willingness to pursue further education integrity and good moral character We offer: work in an inspiring intellectual environment with an emphasis on clinical and laboratory collaboration opportunity to participate in teaching activities at the clinic employee benefits (8 weeks of vacation, contribution to pension insurance, free vaccination against tick-borne encephalitis, and others) How to apply? Send your application by the above-written deadline - please use the link in the Electronic Application section (see below). Your application must include the following documents: a structured CV, an overview of scientific and publishing activities, photocopies of qualification papers and diplomas, contact information of at least two references (name, position, telephone number) After successfully sending your application, you will receive an automatic confirmation by email. You can provide more information from prof. MUDr. Michael Doubek, Ph.D. by e-mail: doubek.michael@fnbrno.cz  According to the amendment to the Higher Education Act (Section 70, paragraph 5), the winning candidate is obliged to inform the employer about any concurrent employment at another higher education institution or research institution.