Linköping University

This is an exciting time to join the University of Southampton, a global top-100 university with a reputation for delivering world-class education and research that addresses some of society’s most pressing challenges. We are seeking a Research Fellow in Molecular Dynamics and Computational Chemistry to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial systems, biomolecular interfaces, and catalytic processes. The project will use molecular dynamics simulations to understand molecular mechanisms of metal-based antimicrobial systems and biomolecular interactions, supporting the design of next-generation antimicrobial materials. The role will involve performing molecular dynamics simulations and computational modelling to investigate interactions between biomolecules, materials, and catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with experimental studies. You will also contribute to research publications, collaborative research projects, and the development of future research proposals within a multidisciplinary research environment spanning engineering, materials science, and microbiology. About you You will hold a PhD in Computational Chemistry, Chemical Physics, Materials Science, Biophysics, Computational Biology, Biomedical Engineering, or a closely related discipline (or equivalent professional experience). You will have experience in molecular dynamics simulations of biomolecular or materials systems, using simulation platforms such as GROMACS, NAMD, AMBER, LAMMPS, or similar tools. Experience in one or more of the following areas would be advantageous: Biomolecular modelling or enzyme catalysis Metal–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python, MATLAB, Bash) You will be motivated to work in a multidisciplinary research environment, collaborating with experimental scientists and computational researchers to develop innovative computational approaches that support interdisciplinary research. What we can offer you We offer some fantastic benefits including generous annual leave (plus an additional 6 University closure days and bank holidays), a company pension scheme, discounted private healthcare and dental, company sick pay, flexible working options, and excellent family leave arrangements. You will benefit from access to the University’s excellent research infrastructure, training and development opportunities, and a vibrant interdisciplinary research environment. Southampton is a dynamic coastal city with excellent transport connections and offers a fantastic place to live, work and collaborate. Equality, diversity and inclusion We are proactive in fostering a culture of inclusion, respect and equality of opportunity. We select candidates based on merit and ability and aspire to thrive in the diversity of our workforce.

Department: Department of Chemistry – Faculty of Science Deadline: 14 May 2026 Start date: negotiable Job type: full-time Job field: Science and research | Education and schooling Dean of the Faculty of Science, Masaryk University announces an open competition for the position: Lecturer at the Department of Chemistry Workplace: Department of Chemistry, Faculty of Science, Masaryk University, Czech Republic Type of Contract: temporary position with 1-year contract (with possible extension), academic Working Hours: 0,1-1 FTE Expected Start Date: negotiable Number of Open Positions: 3 Pay: negotiable Application Deadline: 14. 5. 2026 About the Workplace Masaryk University is modern, dynamic and the most attractive university in the Czech Republic with ten faculties, more than 7 000 staff and 33 000 students, a wide range of research areas and a strong international position. We are the largest academic employer in the South Moravian Region. Faculty of Science MU, a holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. Department of Chemistry at the Faculty of Science MU is one of the largest departments of the Faculty of Science. Our research covers all the main fields of chemistry. Degree programs cover all levels, from bachelor's to doctoral level. We also participate in the teaching of several other study programs. Job Description Key Duties: Theoretical and practical teaching in the programs Chemistry and Chemistry and Technology of Materials for Conservation-Restoration in the Czech language. Preparation of study materials. Supervision of final theses. Innovation of teaching. Involvement in popularization activities of the Department of Chemistry. Participation in the organizational support of pedagogical activities, incl. related administration. Skills and Qualifications Completed education in a doctoral study program in chemistry (PhD degree). At least 5 years of experience teaching chemistry or experience teaching in the field of chemistry and technology of materials for conservation – restoration. Excellent knowledge of Czech and English. Previous research and publication activity welcome. Excellent presentation skills and communication skills. Responsible approach to assigned work tasks, reliability, pleasant demeanor. Personal and professional prerequisites for independent pedagogical activity in the programs Chemistry and Chemistry and Technology of Materials for Conservation - Restoration and qualification growth. Informal inquiries about the position can be sent to the director of the Department of Chemistry Assoc. Prof. Mgr. Petr Táborský, Ph.D. email taborsky@chemi.muni.cz, phone 549 49 1429. We Offer Opportunities for personal and professional growth, further training and education. Full-time work. An interesting job in a dynamically-expanding university area. Flexible working hours and occasional home office to support personal needs in family and career compatibility. Employee benefits such as 8 weeks of paid vacation per year, pension insurance contribution/long-term investment product/nursery/children´s group allowance, a financial meal allowance, lunches in canteens of MU, Multisport card, psychological counselling, vaccinations free of charge, discounted language courses, exclusive mobile tariff offer by Vodafone, childcare groups at Campus and Komenského náměstí). Opportunity to work and live in a modern and dynamic city (for more information on costs of living, you can refer to Numbeo). Welcome Office provides support with your relocation to Brno. Application Process The application shall be submitted online by 14. 5. 2026 via an e-application, please find the reference to the e-application in the beginning and end of the advertisement. The candidate shall provide following: CV. Cover letter. Overview of teaching experience. After submitting your application successfully, you will receive an automatic confirmation email from jobs.muni.cz. Selection Process Received applications will be considered carefully in line with principles of the EU Charter and Code for Researchers. Selection criteria: (i) meeting qualification requirements described above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R) can be seen here. Faculty of Science, Masaryk University is an equal opportunity employer. We support diversity and are committed to creating an inclusive environment for all employees. Visit our Career page. We are looking forward to hearing from you!

Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a motivated and passionate post-doctoral associate to work under the supervision of Dr. Hanan Salam on the: Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data, leveraging on data analytics and machine learning to improve learning outcomes and engagement in the classroom, and Development of personal GPT-powered AI tutors that use the knowledge from (1) to provide personalized recommendations and improve the overall learning experience for students. The project seeks to promote lifelong learning by revolutionizing traditional teaching methods and providing innovative tools for interactive and distance learning. Key Responsibilities: Research Conduct research and development on the Augmented Smart Classroom (SmartClass) platform, focusing on data collection, analytics, and real-time classroom monitoring. Design and implement machine learning models to analyze multimodal data (e.g., student behavior, engagement, and performance) to enhance personalized learning. Develop and evaluate GPT-powered AI tutor systems, integrating insights from classroom data to deliver individualized learning experiences. Collaborate with interdisciplinary teams to create interactive, user-centered tools that support both in-person and remote education environments. Translate research findings into practical applications that support lifelong learning and pedagogical innovation. Contribute to scholarly publications, grant reports, and dissemination of research outcomes in academic and educational technology forums. Mentor undergraduate and graduate students involved in the research project, fostering a collaborative and productive research environment. Stay up to date with the latest advances in AI in education, human-AI interaction, and personalized learning technologies. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author peer-reviewed published papers (or under review); Excellent communication skills in English (oral and written communication) Willingness and capacity to work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students Self-motivated with an ability to work independently and in a team to get the work done. Willingness to learn and confront new challenges. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. For consideration, applicants need to submit in PDF format: Cover letter; Curriculum Vitae with full publication list; Research statement highlighting past and current research experience (1 page); Research project (1 page) explaining how the candidate sees their research fit in the research axes of the lab. Note, Dr. Hanan does not supervise research outside of the scope of the lab research axes; At least two letters of reference. The appointment will be for two years, with the option to renew further depending on performance (in total not to exceed 5 years). More information about professor Hanan’s lab can be found here: https://wp.nyu.edu/smartlab/ If you have any questions, please email Prof. Hanan Salam at hanan.salam@nyu.edu. The terms of employment are very competitive and the position provides salary higher than internationally competitive rates for Post-Doctoral positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. 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. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.