Pontificia Universidad Católica Madre y Maestra (PUCMM)
About Pontificia Universidad Católica Madre y Maestra (PUCMM)
Basic information and contact details for Pontificia Universidad Católica Madre y Maestra (PUCMM)
Pontificia Universidad Católica Madre y Maestra is a private, coeducational Roman Catholic university in the Dominican Republic. The university was founded in 1962, and is the first private university in the nation.
It offers undergraduate, graduate, doctoral and professional degrees in different disciplines through its four major faculties: The Faculty of Social Sciences, Humanities, and Arts, the Faculty of Economic and Administrative Sciences, the Faculty of Science and Engineering, and the Faculty of Health Sciences.
The university is spread across three major campuses: one in Santiago de los Caballeros, another in Santo Domingo and the third in Puerto Plata. The language of instruction is mainly Spanish.
The main campus in Santiago is popular for its ecological beauty. The university also has several modern amenities to facilitate the overall development of its students. Pontificia Universidad Católica Madre y Maestra is renowned for is academic excellence and dual degrees in conjunction with prestigious foreign universities. The university has forged academic and research partnerships with different institutions across the world and regularly facilitates student exchanges.
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Senior Lecturer / Reader / Professor in Hepatology
King's College London
United Kingdom, London
King's College London
United Kingdom, London
About Us The Roger Williams Institute of Liver Studies (RW-ILS) is at the forefront of delivering world-leading discovery science and translating it into impactful solutions for patients with liver disease. By working closely with local public and patient groups throughout the research journey, we ensure our innovations are relevant, transformative, and centred around patient needs. As a pioneering collaboration between the Foundation for Liver Research, King’s College London, and King’s College Hospital NHS Foundation Trust, we bridge the gap between cutting-edge science and real-world patient outcomes. Our approach integrates clinical expertise with advanced research to tackle liver disease from every angle. We are driving excellence across five research themes: Transplantation, Advanced Therapies & Regenerative Medicine Steatotic Liver Diseases Cirrhosis & Gut-Liver Axis Hepatobiliary Cancer Paediatric Hepatology & Rare Diseases About the role The Senior Lecturer/Reader/Professor in Hepatology will play a pivotal role in advancing the Faculty’s academic strategy by leading high-impact research into liver disease and contributing to the education of the next generation of scientists and healthcare professionals. This position will drive innovation through academic expertise in liver studies and translational research. The appointee will foster interdisciplinary collaborations, deliver research-led education, and mentor early-career researchers, ensuring King’s College London remains at the forefront of addressing contemporary healthcare challenges .The role will involve conducting and leading high-impact research aligned to the research themes of the Roger Williams Institute of Liver Studies (RW-ILS), while developing and maintaining an externally funded research programme. Core outputs will include: publishing high-quality research outputs in peer-reviewed journals, enhancing the Faculty’s research profile and supporting its Research Excellence Framework (REF) submission; fostering interdisciplinary collaborations within the Faculty and with external research groups, including national and international partners; providing research-led teaching across undergraduate and postgraduate programmes, including the MBBS, MSc, and PGCert courses, ensuring alignment with the Faculty’s education strategy; supervising and mentoring PhD students and early-career researchers, promoting a culture of innovation, excellence, and academic development; contributing to the design and delivery of teaching modules; actively engaging in academic administration and committee work as required, contributing to the Faculty’s strategic and operational goals. This is a full time post (35 hours per week), and you will be offered an indefinite contract. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Senior Lecturer Essential criteria PhD (or equivalent) qualified in relevant subject area Demonstrable expertise in hepatology or a related field, with a history of high-quality, peer-reviewed publications Strong record of obtaining prestigious, substantial research funding/grants Evidence of teaching experience at undergraduate and postgraduate levels. Experience teaching small and large groups. Evidence of engagement with teaching delivery Proven ability to lead research projects, mentor early-career researchers, and foster interdisciplinary collaboration within academic and clinical settings Experience with data analysis techniques Desirable criteria Evidence of working with international research groups or consortia, contributing to global perspectives on liver diseases and advancing multi-centre studies Experience in integrating public and patient involvement (PPI) into research or clinical practice, enhancing the relevance and impact of research outcomes A developing national reputation in your discipline and be recognised as having made an individually significant contribution to your field and/or innovative contributions to the field Reader Essential criteria PhD (or equivalent) qualified in relevant subject area Demonstrable expertise in hepatology or a related field, with a history of high-quality, peer-reviewed publications Strong record of obtaining prestigious, substantial research funding/grants Evidence of teaching experience at undergraduate and postgraduate levels. Experience teaching small and large groups. Evidence of engagement with teaching delivery Proven ability to lead research projects, mentor early-career researchers, and foster interdisciplinary collaboration within academic and clinical settings Experience with data analysis techniques Established a national and emerging international reputation in your discipline and been recognised as having made significant and innovative contributions to your field. These contributions should have been sustained over a period of time Desirable criteria Evidence of working with international research groups or consortia, contributing to global perspectives on liver diseases and advancing multi-centre studies Experience in integrating public and patient involvement (PPI) into research or clinical practice, enhancing the relevance and impact of research outcomes Professor Essential criteria PhD (or equivalent) qualified in relevant subject area Demonstrable expertise in hepatology or a related field, with a history of high-quality, peer-reviewed publications. Strong record of obtaining prestigious, substantial research funding/grants Evidence of teaching experience at undergraduate and postgraduate levels. Experience teaching small and large groups. Evidence of engagement with teaching delivery Proven ability to lead research projects, mentor early-career researchers, and foster interdisciplinary collaboration within academic and clinical settings Experience with data analysis techniques Established a strong international reputation in your discipline and been recognised as having made significant and innovative contributions to your field. These contributions should have been sustained over a period of time Evidence of working with international research groups or consortia, contributing to global perspectives on liver diseases and advancing multi-centre studies Desirable criteria Demonstrated the ability to implement and successfully deliver initiatives and formulate strategic plans that reflect and support the priority needs of the Faculty and University. The panel will also consider any innovation, and knowledge exchange activity undertaken and its impact outside of academia. Experience in integrating public and patient involvement (PPI) into research or clinical practice, enhancing the relevance and impact of research outcomes Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. This post is subject to Occupational Health clearance. Grade and Salary: Senior Lecturer - £65,091 - £74,613 per annum, Reader £66,884 - £74,613 per annum, including London Weighting Allowance. Professor discussed at point of offer. Job ID: 127265 Close Date: 01-Feb-2026 Contact Person: Professor Phil Newsome Contact Details: philip.newsome@kcl.ac.uk
Salary
£65,091 - £74,613 per annum
Posted
26 Dec 2025
University Assistant Predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5037 We invite you to join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your personal sphere of influence: As a university assistant (praedoc) in this 4-year position, you will be part of the Operational Quantum Information Team around Professor Borivoje Dakić. Our team is part of the Quantum Optics, Quantum Nanophysics, and Quantum Information group of the Faculty of Physics. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence (quantA), advancing basic research in quantum sciences, aiming to expand the frontiers of knowledge and thus being the engine for future innovations. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on premises and about 300 quantum researchers in Vienna. The Dakić group is an international team of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/. Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project on the advertised research topics. You will present your research plan to the faculty and complete a dissertation agreement within 12–18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time. We expect a large degree of independence paired with a high level of social awareness, as the goal will only be achieved in a team. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fulfil some administrative tasks, contributing to the success and self-organization of the group in research, teaching and administration. You will continuously stay informed about the state of the art in your field. You will contribute to outreach by publications, conference presentations and public activities. This is part of your personality: We expect a strong candidate with the following requirements: You have completed your Master’s degree or Diploma in Physics, Mathematics, Computer Science or a closely related field, ideally with a strong focus on quantum computing and numerical simulations. Experience in data-reuploading quantum algorithms, optical quantum computing and quantum machine learning (highly desirable). Experience in machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators (highly desirable). Experience in programming skills (e.g. Python, Qiskit, MATLAB, C, numerical simulations). You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world in quantum information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.) increases if we can credit professional experience. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Please send us: Your scientific curriculum vitae. A statement on your research interests for the future (motivation letter), with particular emphasis on your experience in optical quantum computing and data-reuploading algorithms, and machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators. Contact information of two referees. Your Bachelor’s and Master‘s degree certificates and transcripts. If you have any content questions, please contact: Borivoje Dakic borivoje.dakic@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 01/06/2026 (MM-DD-YYYY) Prae Doc
Salary
The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.)
Posted
26 Dec 2025
Postdoctoral Fellow in Coral Reef Restoration
Queensland University of Technology
Australia, Brisbane
Queensland University of Technology
Australia, Brisbane
Reference number: 25721 Term: Fixed-term, full-time basis for 2.5 years Remuneration: AUD $96,342 to AUD $130,727 pa (LEVA) (inclusive of AUD $81,410 to AUD $110,466 salary pa, 17% superannuation and 17.5% recreation leave loading) Location: Gardens Point Open to: applicatnts outside the greater Brisbane area. QUT may meet some travel and relocation expenses involved in the interview and employment commencing process. Who are we looking for? We are seeking a Postdoctoral Fellow in Coral Reef Restoration to join School of Earth and Atmospheric Sciences, Faculty of Science. The Postdoctoral Fellow in Coral Reef Restoration will join an international and collaborative team of scientists and coral reef restoration practitioners contributing to the Coral Research & Development Accelerator Program (CORDAP) Project on enhancing substrate availability to accelerate reef recovery using novel underwater bioadhesives. The project addresses the challenge to reef recovery which is hindered by poor substrate quality or limited substrate availability. Our novel solution to this ever-accelerating problem is Underwater Bioadhesives that can be integrated into modern reef restoration strategies. Here we will use bioadhesive materials to strengthen substrates for coral settlement, stabilize reef slopes by binding loose rubble, and attach coral fragments as an alternative to concrete and chemical glues. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing the opportunities created by a more virtual and connected world. About us QUT is a major Australian university with a global outlook and a 'real world' focus. We are an ambitious and collaborative institution that seeks to equip our students and graduates with the skills they will need in an increasingly disrupted and challenged world. The School of Earth and Atmospheric Sciences specialises in understanding fundamental chemical and physical processes that operate across Earth’s physical spheres. As researchers and educators, it’s staff are motivated by the need to solve current global challenges such as the state of the atmosphere, greenhouse gas emissions, energy and resource sustainability, and future planetary habitability. Core research focuses on the lithosphere, atmosphere and hydrosphere. We investigate how these physical spheres have evolved over Earth’s history and observe through geospatial science in order to understand interactions between each sphere and all life. We are a diverse team of experts who deliver world-class education and achieve breakthroughs in research with particular focus on: • Earth observation • natural resources • atmospheric composition and change • air quality and pollution • natural hazards • environmental science challenges (including reef restoration and energy). • future planetary habitability What you need to succeed Completion of a doctoral qualification in marine science, marine biology, reef ecology or related fields. Demonstrated fieldwork experience/skills on coral reefs (e.g., diving, deploying instruments, underwater data and sample/image collection; operating research vessels, data management). Demonstrated experience in undertaking ecological assessments of coral reef benthic communities. Demonstrated ability to use underwater imaging and image processing or experience in photogrammetry. Demonstrated proficiency in basic analytical (e.g., Image J) and statistical software (e.g., R or Matlab) and statistical analysis. Solution-focused, and proven ability to contribute to a high performance and collaborative culture. Demonstrated ability to meet deadlines and publish research outcomes in a timely manner. Desirable: Experience with laboratory aquarium systems and maintenance. Supervisory experience of postgraduate or undergraduate students and projects. Experience in applying for, and a successful track record in being awarded, grant funding. Life at QUT We're committed to building a culture that fosters connection between people and purpose. Beyond personal and professional fulfillment, a career at QUT offers: A healthy work-life balance with a blend of on-campus and off-campus work arrangements for applicable positions. Competitive remuneration with up to 17% superannuation and leave loading of 17.5%. Generous maternity leave including primary carer parental leave of up to 26 weeks (including 17% super). Stay healthy with Fitness Passport and enjoy discounted rates on private health insurance. Purchased Leave Scheme - up to 8 extra weeks. Salary Packaging Scheme for additional superannuation contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme. Commitment to our Indigenous Australian staff through initiatives such as the Indigenous Australian Staff Network, Cultural and Ceremonial Leave, Staff Development Workshops, and representation on university committees. Explore more benefits of life at QUT. Belong at QUT We are guided by our values of Ambition, Integrity, Inclusiveness, Innovation, and Academic Freedom and our QUT Connections in our mission to inspire and shape the next generation of change-makers. As part of our commitment to fostering an inclusive workplace, we proudly support our Indigenous Australians Employment Strategy, aiming for an Indigenous Australian workforce participation of 3.6%. We extend a warm invitation to Aboriginal Australians and Torres Strait Islander people to join us in pursuing a rewarding career at QUT. We believe that diversity is our strength and are dedicated to creating safe, inclusive spaces where everyone can thrive. We strongly encourage individuals from diverse cultures, ages, linguistic backgrounds, sexual orientations, and gender identities, and those who are living with disabilities to apply for positions at QUT. At QUT, diversity is not just embraced—it's celebrated. See our commitment How to Apply Discover the possibilities that await with a career at QUT. If you're ready to embark on a journey of innovation and opportunity, we're excited to meet you. Find out more about this position and submit your application by clicking 'Apply' or the link below. View the job details at: Postdoctoral Fellow in Coral Reef Restoration Applications Close: 26-Jan-2026 at 11:30 pm
Salary
AUD $96,342 to AUD $130,727 pa (LEVA)
Posted
26 Dec 2025
University Assistant Predoctoral/PhD Candidate Experimental Quantum Communication
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Experimental Quantum Communication 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5046 We invite you to join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum information and quantum technologies, with a special focus on experimental quantum communication. Your personal sphere of influence: As a university assistant (praedoc) in this 4-year position, you will be part of the Operational Quantum Information Team around Professor Borivoje Dakić. Our team is part of the Quantum Optics, Quantum Nanophysics, and Quantum Information group of the Faculty of Physics. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence (quantA), advancing basic research in quantum sciences, aiming to expand the frontiers of knowledge and thus being the engine for future innovations. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on premises and about 300 quantum researchers in Vienna. The Dakić group is an international team of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/. Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project on the advertised research topic. You will present your research plan to the faculty and complete a dissertation agreement within 12–18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time. We expect a large degree of independence paired with a high level of social awareness, as the goal will only be achieved in a team. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fulfil some administrative tasks, contributing to the success and self-organization of the group in research, teaching and administration. You will continuously stay informed about the state of the art in your field. You will contribute to outreach by publications, conference presentations and public activities. This is part of your personality: We expect a strong candidate with the following requirements: You have completed your Master’s degree or Diploma in Physics, ideally with a focus on experimental quantum optics. Experience with building single-photon sources and quantum communication systems (highly desirable). Experience in experimental quantum optics and interferometry, including laser optimisation and alignment of complex optical systems (highly desirable). You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world in quantum information, quantum technologies and quantum communication. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.) increases if we can credit professional experience. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Please send us: Your scientific curriculum vitae. A statement on your research interests for the future (motivation letter), with particular emphasis on your experience in building single-photon sources and quantum communication systems, and experimental quantum optics and interferometry. Contact information of two referees. Your Bachelor’s and Master‘s degree certificates and transcripts. If you have any content questions, please contact: Borivoje Dakic borivoje.dakic@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 01/06/2026 (MM-DD-YYYY) Prae Doc
Salary
The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.)
Posted
26 Dec 2025
Research Assistant in the Division of Engineering - Dr. Farah Shamout
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Research Assistant to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Research Assistant will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML for healthcare; Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field Demonstrable research experience involving data pre-processing and preparation for machine learning models Demonstrable research experience in conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics First-author peer-reviewed published papers (or under review) Evidence of leadership and service activities in the academic domain For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, and a transcript, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. 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/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.
Salary
Competitive
Posted
26 Dec 2025
Subjects Taught at Pontificia Universidad Católica Madre y Maestra (PUCMM)
See below for a range of subjects taught at Pontificia Universidad Católica Madre y Maestra (PUCMM)
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
Education Studies
- Education
Engineering
- Civil Engineering
- Electrical and Electronic Engineering
- General Engineering
- Mechanical and Aerospace Engineering
Law
- Law
Life Sciences
- Agriculture and Forestry
Medical and Health
- Medicine and Dentistry
- Other Health
Psychology
- Psychology
Social Sciences
- Communication and Media Studies
- Politics and International Studies
- Sociology