Université de Gabès

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£34,663 per annum inclusive of London Weighting

United Kingdom, London

Location
Stratford Campus

Salary
starting from £34,663 per annum inclusive of London Weighting

Post Type
Full Time

Post Type
Fixed Term

Contract Length
12 months

Closing Date
Thursday 28 November 2024

Interview Date
To be confirmed

Reference
2173-24-A

University of East London

Founded in 1898, we at the University of East London (UEL) are proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future.

But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo.

About Us

The Institute is located in Stratford, East London, in one of the most socioeconomically and demographically diverse areas in the world. A major focus of our research is investigating how early environments influence development. 

About the Job

This is an excellent opportunity to gain hands-on research experience in a well-funded, and internationally prominent, research group. In particular we are looking for candidates who are keen to gain experience prior to starting a PhD or research post in developmental, educational or clinical psychology or neuroscience.

An Institute Manager is required for the new Institute for the Science of Early Years (ISEY), a new centre currently being set up based on existing work from the UEL BabyDev Lab (www.uelbabydev.com), and other world-leading courses at UEL (e.g. the Educational and Child Psychology Prof Doc and Clinical Psychology Prof Doc, Psychology, Education). 

The post holder will be responsible for coordinating several ongoing research grants in early years neuroscience, including awards from the European Research Council, European Union, Economic and Social Research Councils UK, and Medical Research Council, as well as liaising with academic staff, local national and international educational bodies, commercial partners, clinical partners, local councils, journalists and media.

Duties will be highly varied, and will involve: managing recruitment of infant/child participants, coordinating a large and highly active group research including coordinating lab meetings, procurement, reports to grant holders, coordinating academic staff across the university, managing students and interns on research projects, managing the group’s state-of-the-art research facilities which include AR/VR, EEG, fNIRS, eyetracking, wearables, managing the centre’s social media channels, dealing with press inquiries, liaising with local education providers and clinical partners, and so on.  

About You

We are looking for candidates who are keen to gain experience prior to starting a PhD or research post in developmental, educational or clinical psychology or neuroscience. You will be responsible for coordinating several ongoing research grants in early years neuroscience, including awards from the European Research Council, European Union, Economic and Social Research Councils UK, and Medical Research Council, as well as liaising with academic staff, local national and international educational bodies, commercial partners, clinical partners, local councils, journalists and media.

We are looking for candidates who are keen to gain experience prior to starting a PhD or research post in developmental, educational or clinical psychology or neuroscience.  

Candidates with exceptional organisational, communication, and technical skills. Any of the following types of experience would be advantageous, experience working with infants and young children; experience of managing grants and grant reporting; managing social media channels; teamwork; ability to manage peers; ability to cope with a busy and fast-changing workload; excellent academic credentials; technical skills (use of EEG/fNIRS/eyetracking /physiology/wearables); programming skills (especially Matlab/Python).  

Benefits Package

Here at UEL we understand it’s about more than just a salary. It’s about the entire package on offer along with our outstanding work environment and inclusive culture. We know the market rates for this vacancy and will offer a genuinely competitive salary DOE.

We care deeply about your wellbeing and our benefits includes: 20% pension (4% from you, 16% from us), 35 days holiday (plus 3 days over Christmas) plus bank holidays, hybrid working for most positions, subsidised gym membership, 3 times base salary life assurance, a cashback healthcare scheme and wide variety of other generous benefits including discounts on: Apple and Samsung products, holidays, clothing, fitness, lifestyle, dining out and weekly shopping.

Equal Opportunities

UEL is an inclusive equal opportunities employer and are proud of our Equality, Diversity, and Inclusivity achievements, including: zero gender pay gap, members of Stonewall and have won Athena Swan awards. We expect all employees of UEL to accept our EDI policy and will not tolerate discrimination in any form.

So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and committed to success, we want you to apply today!

Further Details

Job Description & Person Specification

To contact the recruitment team please phone +44 20 8223 3000 x 4600 or e-mail hrhub@uel.ac.uk

CVs without a completed application form will not be accepted.

At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.


University of East London

United Arab Emirates, Abu Dhabi

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


New York University Abu Dhabi Corporation

£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

United Kingdom, Southampton

We are seeking motivated postdoctoral scholars with a passion for flexible bioelectronics and medical robotics to join our dynamic research team. This project focuses on developing a smart bioelectronic system that seamlessly integrates therapeutic functions with continuous monitoring capabilities. The system incorporates cutting-edge technologies in bioelectronics, soft robotics, and materials science, leveraging advanced materials and fabrication technologies. If you are excited about groundbreaking research and innovative technology in healthcare engineering, this opportunity is perfect for you.

As a member of the Multiscale Intelligent Biodevices Lab (MIB), led by Dr. Rujie Sun at the University of Southampton, you will lead efforts to develop innovative bioelectronic systems that integrate real-time monitoring and therapeutic functions. Your primary focus will be designing and fabricating flexible bioelectronics that can interface seamlessly with biological tissues, combining soft robotic techniques to enhance personalized treatment. This role offers a unique opportunity to work on interdisciplinary projects, pushing the frontiers of personalized medicine and health management. In this project, you will collaborate with Inha University and have access to a broad network of academic partners, including Imperial College London, University of Oxford, University of Bristol, and University of Liverpool. Additionally, we work closely with industrial and clinical collaborators, providing opportunities for fostering new partnerships and expanding your professional network.

The successful applicant should have required qualifications and experience


	Education: PhD in Biomedical Engineering, Electronic Engineering, Mechanical Engineering, Materials Science, or related disciplines with a strong academic record (Or working towards or nearing completion of a relevant PhD).
	Research Interests: Demonstrated enthusiasm for research in flexible bioelectronics, soft medical robotics, or related fields.
	Skills: Extensive experience in microfabrication techniques for bioelectronics or soft robotics, as well as expertise in biomaterials for medical tools. Strong collaboration skills, with the ability to work effectively in multidisciplinary teams, and excellent communication skills.


The University of Southampton is a global leader in research and innovation, among the top 1% of universities globally. Our electronic engineering programme was rated the best in the UK by the 2022 Guardian University Guide, and we were ranked 4th nationally for engineering in the 2021 Research Excellence Framework (REF). By joining us, you will be part of a supportive and vibrant academic community, with access to cutting-edge facilities and world-class research opportunities. This is an ideal environment for advancing your career while making significant contributions to the future of technology.

The post will be full time for 18 months with the possibility of further extension.

If you are interested, please submit your CV and a cover letter detailing how your skills and experience align with this role. For further inquiries, we encourage you to contact Dr. Rujie Sun at rujie.sun@soton.ac.uk.

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.


University of Southampton

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We 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


Université de Gabès

About

Rankings

World University Rankings 20241501+

Computer Science 2024801-1000^th

Engineering 20241001+

Physical Sciences 20241001+

Discover similar universities

Key Student Statistics

Subjects Taught at Université de Gabès

Physical Sciences1001+

Engineering1001+

Computer Science801–1000^th

Company

Legal

Université de Gabès

About

Rankings

Computer Science 2024801-1000th

Engineering 20241001+

Physical Sciences 20241001+

Discover similar universities

Key Student Statistics

Subjects Taught at Université de Gabès

Physical Sciences.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}1001+

Engineering1001+

Computer Science801–1000th

Computer Science 2024801-1000^th

Physical Sciences1001+

Computer Science801–1000^th