FLACSO Argentina

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Associate Professor of Teaching / Assistant Professor of Teaching Department of Sociology and Social Policy (Post Ref.: 26/25) The Department of Sociology and Social Policy brings together scholars with international research experience and publication records in the major areas of Sociology and Social Policy. Over the years, our faculty members have been the recipients of the University’s Research Excellence Award and Teaching Excellence Award. The Department offers undergraduate teaching in Sociology, Social and Public Policy, and Health and Social Services Management, while hosting an MSocSc Programme in Comparative Social Policy (International) (IMCSP). We have been consistently successful in attracting MPhil and PhD students from around the world, particularly the recipients of the Hong Kong RGC Junior Research Fellow Scheme, and in obtaining the General Research Fund (GRF) and other external competitive grants. For more information, applicants are advised to visit the departmental website. General Requirements Applicants should have a PhD degree in Sociology, Social Policy, Social Work, Health Studies or other related disciplines, with relevant teaching experience. Applicants are required to provide their teaching portfolio, and teaching evaluation, among other relevant information. Excellent communication and presentation skills in English are essential. The appointee should be able to perform the following duties: To teach across a large variety of undergraduate courses offered by the department, including the Making of Hong Kong and at least one Health and Social Services Management Programme (HSM) course; To provide in-house teaching training/mentorship of postgraduate students, post-docs, research assistant professors, and, when necessary, entry-level assistant professors; To serve as a senior tutor and provide students in our department (Sociology, Social Policy, and Health and Social Services Management) with pastoral care; To perform teaching administrative duties in the department; Be able to take up a leadership role on the development of new programme(s) in Undergraduate (UG) and/or Postgraduate Taught (PGT) areas that align with the University strategic objectives, such as Digital Sociology. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, incoming passage and baggage allowance for the eligible appointee. The appointment will normally be made on a fixed-term contract of up to three years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. The review of applications will start from late-February 2026 and will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with experimentalists from the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM) at NYUAD. The results of this work are anticipated to be published in peer-reviewed journals and presented at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject to mutual agreement. The successful candidate is also expected to play an active role in other projects and activities within the Smart Materials Lab and assist in supervising undergraduate or PhD students. To apply, submit a cover letter, a curriculum vitae that includes a complete publication list, a statement of research interests, a transcript,and three letters of reference, all in PDF format. For any inquiries, please contact Dr. Panče Naumov (pance.naumov@nyu.edu). The terms of employment are very competitive and include housing and educational subsidies for children. Applications are being accepted immediately, and candidates will be considered until the position is filled.  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

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.