Reshetnev Siberian State University of Science and Technology

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United Arab Emirates, Abu Dhabi

Description

New York University Abu Dhabi seeks to recruit a Research Scientist to work within the newly established Abu Dhabi Precision Medicine Virtual Research Institute (ADPMVRI) supervised by Prof Bas Rokers. The Institute aims to develop a comprehensive research infrastructure - whereby diagnosis, prognosis, and treatment are tailored to each patient. The Institute will provide a set of platforms specific to the most common non-communicable diseases in Abu Dhabi, centered on biomarkers quantifying disease state, stratifying disease subtypes, and monitoring disease progression. In the context of brain health research, the Institute aims to identify markers predictive of perceptual and cognitive impairment in health conditions prevalent in the region, including diabetes, multiple sclerosis, obesity and normal vs. traumatic brain aging.

The appointed applicant is expected to develop and deploy solutions to handle the management and analysis of large amounts of neuroimaging, genomics, and health-related data. The ideal candidate must have a background in database management, neuroimaging and/or genomics data analytics, and machine learning and artificial intelligence applications. The candidate is expected to have programming experience with MATLAB, python, shell scripting, and UNIX/LINUX environments. Familiarity working within a high-performance computing environment is ideal.

To be considered, applicants must have received a PhD in Computer Science, Psychology, Neuroscience, mathematics, physics, Biology, Biomedical Engineering or a relevant STEM field. All applicants must submit a cover letter, curriculum vitae, a summary of research accomplishments and interests, and contact information for at least two references. Applications will be accepted immediately, and candidates will be considered on a rolling basis until the position is filled. For questions, please contact Prof. Rokers - rokers@nyu.edu.

This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates. 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.

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.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

Description

The Trabolsi Research Group at New York University Abu Dhabi invites applications for a post-doctoral associate position focused on the development of covalent organic frameworks (COFs)-based adsorbents and membranes for advanced water purification technologies.

The successful candidate will lead innovative research aimed at optimizing the application of COFs in water purification, with a particular focus on removing emerging contaminants such as pharmaceuticals and per- and polyfluoroalkyl substances (PFAS) from water. This project will involve the directed synthesis of COF structures tailored for the selective removal of specific contaminants, followed by comprehensive studies of their molecular interactions with various emerging pollutants.

Key Responsibilities:


	Design and synthesize COFs with specific properties for targeted contaminant removal.
	Develop and optimize methods for using COF-based materials in water treatment systems, including adsorption columns and membrane technologies.
	Conduct experiments using techniques such as batch adsorption protocols, adsorption columns, membrane cells, and electrochemical water decontamination.
	Analyze and interpret data from these techniques to refine and improve COF performance in real-world applications.
	Collaborate with a multidisciplinary team of PhD scientists, graduate students, and undergraduates, contributing to a dynamic and collaborative research environment.


Qualifications:


	PhD in Chemistry, Materials Science, Chemical Engineering, or a related engineering discipline.
	Extensive experience in the synthesis and characterization of covalent organic frameworks, particularly as they relate to water treatment applications.
	Strong background in experimental techniques relevant to the project, including experience with porous frameworks in water purification systems.
	Proficiency in analytical techniques used to characterize materials and their interactions with contaminants.
	A proven track record of interdisciplinary research and collaboration in materials science and engineering is preferred.


This position offers an exciting opportunity to contribute to cutting-edge research in water purification while working within a vibrant research community at NYU Abu Dhabi.

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.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


£20,513 per annum pro rata (20 hours per week)

United Kingdom, Guildford

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

To research and develop software modules, tools and API for a project that aims to create a secure decentralised data marketplace based on distributed ledger technology, web technologies and AI.

The role will focus on developing solutions to address barriers to information and data exchange such as data quality and interoperability, and efficient processing and management of time-series datasets and metadata originating from IoT sources (such as environment sensors and meters) closer to the data provider at the edge, rather than the cloud, which will require innovation in compute efficiency and scalability. 

The role will also focus on IoT data engineering, analysis and management, improve data quality through data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs, search and discovery mechanisms.

The outputs will be integrated and validated against a set of real-world IoT use cases.

About you

A talent for technical problem solving is a must. You will encounter a wide range of technologies and data and will be given many opportunities to develop further your skills.

You will be responsible in contributing to iterative deliverables for the project such as technical reports, software integrations and source code releases. You will also be expected to travel abroad for project meetings and dissemination events. This is a collaborative project and will require you to actively liaise with other organisations.

Essential


	A PhD in Computer Science or Engineering (other closely related area) or and MSc with experience. 
	Experience with programming in Python, Java, or JavaScript in the context of data and metadata management and analysis for web-based solutions.
	Experience in Data engineering, analysis and management workflows for times-series (tabular, structured) data.
	Experience in developing workflows for metadata management, which can involve schema modelling, formatting, annotation, enrichment, search and discovery.
	Experience in Machine Learning model development/optimisation and workflows for time-series (tabular, structured) data, and for (generative) metadata enrichment.
	Experience with tools for source code management, automation pipelines for software development and machine learning processes, and deployment.
	Experience with virtualisation tools such as Docker and Kubernetes.
	Experience in technical and report writing for software-based projects.
	Strong critical thinking skills and ability to develop innovative solutions.
	Ability to communicate effectively and work efficiently within a research and development team. 
	Ability to take initiative, learn how to use the necessary tools for the research, and work independently, and collaboratively for integration tasks.


 Desirable


	An PhD in Computer Science or Engineering.
	Contributions to peer-reviewed publications, or other similar output.
	Experience with developing tools for linked or graph-based data.


How to apply

For more information or to be considered for the role, please apply via the University Website.

Further details
Job Description


University of Surrey

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) 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 aspires to become 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 posts:

Postdoctoral Fellow / Research Assistant Professor
LEO Dr. David P. Chan Institute of Data Science, School of Data Science
(Post Ref.: 24/252)

The School of Data Science (SDS) is committed to becoming the premier incubator for data innovation in Asia. Our mission is to nurture leading data scientists through an interdisciplinary curriculum that fosters ethical, critical and strategic thinking. The SDS comprises two divisions: the Division of Artificial Intelligence and the Division of Industrial Data Science, as well as the LEO Dr David P. Chan Institute of Data Science.

The LEO Dr. David P. Chan Institute of Data Science (https://www.ln.edu.hk/sds/leodcids/home) aims to (i) provide education service; (ii) empower researchers; (iii) cultivate new collaborations, and (iv) perform academic research in some selected areas of data science.

The appointee will join the LEO Dr. David P. Chan Institute of Data Science and will be expected to:


	carry out research and submit papers to top journals in the field of large vision models or large language models. Additionally, the appointee will be responsible for submitting grant proposals to various funding bodies. Furthermore, the appointee will have the opportunity to organize conferences, seminars, reading groups, workshops, and other related research activities;
	play a central role in the daily operation of the upcoming new Taught Postgraduate programme(s) offered by the Division of Artificial Intelligence/ LEO Dr. David P. Chan Institute of Data Science. The teaching load will be two courses per year, distributed according to the needs of the Institute and upon mutual agreement. English will be the medium of instruction. The appointee will also be required to supervise students’ projects or thesis; and
	perform administrative duties as assigned by the Director of the LEO Dr. David P. Chan Institute of Data Science.


General Requirements

Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good command of both English and Chinese; (iii) a strong publication record in the top-tier journals/conferences in the relevant field; and (iv) experience in developing external competitive research proposals. Candidates with a good teaching record will be an advantage.

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 and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on a fixed-term contract of up to two 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. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

Description

Program Overview

The NYU Abu Dhabi Summer Academy is an 18-month university preparation program designed to enhance the academic profiles of highly motivated Emirati high school students. The program features intensive instruction in Leadership and Public Speaking, Critical Thinking and Writing, Mathematical Reasoning for the Sciences, College Readiness and Success, and IELTS Preparation over the course of two summers and an intervening academic year. 

Following a competitive admissions process, up to 90 program participants are selected each year as recipients of the Sheikh Mohamed bin Zayed Scholarships for Outstanding High School Students, which enables them to attend the Summer Academy.

In this mixed-gender program, students are exposed to a rich cultural and rigorous academic program which enhances their ability to gain admission to and perform well at top-tier English-language universities.  The program begins during the summer following the 10th year of high school and continues for the following 18 months, with two intensive summer sessions of study in Abu Dhabi at the NYUAD Campus. In addition, students participate in online study and academic refresher weekends during the following academic year.

Program Goals

University Preparation

Students gain the academic, cultural, and social skills necessary for success at top-tier universities. Summer Academy graduates have attended Yale, NYU New York, NYU Abu Dhabi, Princeton, United Arab Emirates University, The London School of Economics, George Washington University, King’s College London, The University of Pennsylvania’s Wharton School, and many others.

Academic Preparation

We introduce students to accelerated study of mathematics, critical thinking and writing, the humanities and to the value of a liberal arts education.

Cultural Awareness

Students develop their understanding of the social and cultural norms of universities and build useful intercultural competencies for success in university.

Test Preparation

We prepare students to excel on the standardized tests necessary for university entry.

Leadership and Public Speaking Skills

With Leadership and Public Speaking as a required course in the Summer Academy,  our program spurs confidence, personal growth, maturity, and leadership skills.

Social Networking

We bring together top students from across the UAE who form a supportive and challenging social network among themselves and with Summer Academy alumni who have gone on to university study, graduate school, professions, and leadership careers.

Job Summary

The Instructor will be responsible for overseeing all academic aspects of the IELTS Test Preparation course, including lesson planning, instruction, grading, providing feedback, and holding office hours for two sections of Summer Academy students: those in their first summer (Summer I) and second summer (Summer II) of the program. The course will involve approximately 15 contact hours, with exact hours determined during the hiring process.

In addition to academic duties, the Instructor will support program-related activities throughout the appointment, including weekends, and participate in selection activities and graduation events as required. The Instructor is expected to actively contribute to enriching the educational experience of the students and to play a key role in helping the program achieve its goals.

Length of Appointment


	Summer Session: Five weeks from approximately July 7 - August 8, 2025
	Approximately two meetings prior to the summer session’s start for orientation activities


Principal Responsibilities

The job’s activities in terms that enable someone who knows nothing about the job to understand what is done in each activity.


	Teach the IELTS Preparation course to one section - the Class of 2026 (Summer I) in Abu Dhabi
	Work within the existing IELTS Preparation curriculum, which is focused on the development of reading, writing, listening and speaking skills that form the foundation of the English Language Proficiency skills required for admission to top-tier English-language universities. Areas of study include: establishing and reinforcing core academic concepts and skills necessary for success on the IELTS examinations, diagnostic and practice examinations, and strategies and techniques to master the different components of the examination
	Attend any pre-program meetings and/or training sessions
	Work closely with the other IELTS Preparation instructor(s) and Teaching Assistant(s) to ensure that all sections receive the same material delivered with a similar high-quality approach
	Supervise and coordinate instruction with teaching assistants(s)
	Be available to individual students and groups in need of assistance, as well as to other instructors undertaking cross-curricular or collaborative projects
	Provide students with ongoing and regular feedback (oral and written) during the course 
	Participate in faculty meetings by providing detailed feedback on student progress 
	Following the summer session, submit extensive and detailed written feedback on each student to be used in crafting letters of recommendation for their college applications (within 30 days)
	Attend and provide assistance as needed with co-curricular events and activities throughout the summer session, which will entail leading small groups of students on excursions and trips, or supporting the operations of the program as needed
	Oversee and support students during assigned day trips, extracurricular activities, and events, ensuring a safe and engaging environment that promotes learning and development


About NYU Abu Dhabi

https://nyuad.nyu.edu/en/

NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.

NYUAD is committed to building and strengthening a university-wide culture of inclusion, diversity, belonging and equity (IDBE), which is fundamental to the University’s commitment to excellence. Visit our website for more information on NYUAD’s commitment to IDBE and how these values are fundamental to our mission.

Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.|

Qualifications

Qualifications must support the essential functions and serve as the primary criteria for selecting candidates.

Required Education, Certifications, Licensing, or Training


	Advanced degree (Master’s or PhD) in English, Applied Linguistics, TESOL, TEFL, ESL, or a related subject
	Availability to teach in Abu Dhabi during the dates listed above
	Ability to provide some online instruction during the dates listed above, if necessary


Preferred Education, Certifications, Licensing, or Training


	Advanced degree in Applied Linguistics, TESOL, TEFL, ESL, or related subject
	High-school or college-level experience teaching in English


Required Work and Related Experience


	Demonstrated interest in cross-cultural education and enthusiasm for teaching
	Experience supervising high school students in a co-curricular setting (i.e. school or after school program)
	Availability to assist with the planning of the program prior to the start of classes


Preferred Work and Related Experience


	Work or internship experience teaching English as an additional language
	Familiarity with online and face-to-face instruction


Application Instructions

Applicants must submit a cover letter and curriculum vitae in PDF format. For instructions and information on how to apply, please visit our website at https://nyuad.nyu.edu/en/about/careers/academic-support.html.

NYUAD is committed to equality and is an equal-opportunity employer. We encourage applications from candidates who will enrich and contribute to our university's cultural and ethnic diversity.

If you have questions about this position, please email nyuad.academicrecruitment@nyu.edu

For more information about the program, please visit www.nyuad.nyu.edu/summer.academy. 

Join NYU Abu Dhabi, an exceptional place for exceptional people.

NYUAD values diversity, inclusion, belonging, and equity; such principles are fundamental to the university's commitment to excellence. NYUAD is an equal-opportunity employer.  We particularly welcome applications from members of traditionally underrepresented groups, women, and UAE nationals. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission.

@WorkAtNYUAD

#nyuadinstructorcareers

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Deadline: Jan 15, 2025 at 11:59 PM Eastern Time


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