Cyprus University of Technology

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United Kingdom, Guildford

We’re looking for an agile, adaptable administrator to join our busy School Office team.

The Person

You will have excellent organisational skills, be happy to multitask and be ready to change track to tackle the next priority task. As part of a busy team you will be equally comfortable tackling tasks with others or working on your own.

Confident with numbers you will able to manage financial transactions, track spending and chase up suppliers and payments.

You should have strong IT skills including MS Office and be ready to learn the different University systems and processes.

A good communicator, both written and verbal, you will feel at ease working with and supporting a wide range of colleagues, students and external contacts.

The Role

Our School Administrators are at the heart of supporting colleagues to deliver our objectives in education, research and engagement. On any day the role can include managing events, supporting staff recruitment, purchasing goods and services or signposting colleagues or students to the right answers to their queries.

With 150+ academic staff in four Discipline areas (Law, Economics, Politics and Sociology), School of Social Sciences (SoSS) in the Faculty of Arts, Business and Social Sciences (FABSS), is a busy and diverse community located on the main University campus, and spread over two buildings. The School has been formed in August this year, and is in the early days of reaslising its potential to grow as a new unit. We have a vibrant student community, with undergraduate, postgraduate and PhD programmes across all four Disciplines. Each discipline organises a large number of research and student events throughout the year.

This role requires occasional evening, early morning and weekend working. 

What we offer

In addition to your salary, you will receive a generous annual leave entitlement and excellent development opportunities, pension scheme and discounted membership to Surrey Sports Park.

We operate a blended working policy that, within operational limits, allows staff to usually work from home up to two days a week. There is also opportunity for some flexibility around start and finish times.

For any questions, or an informal chat about the role, please email Milda Balse, SoSS Administrative Team Lead (m.balse@surrey.ac.uk)

Interviews will be held on Monday 28th October

Further details

Job Description  

For more information and to apply online, please download the further details and click on the 'apply online' button above.

In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Click here to find out more about the benefits we offer to support you.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.  We place great value on diversity and are seeking to increase the diversity within our community.  Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.


University of Surrey

HEW 7 from $108,391 + 17% employer superannuation

Australia, North Ryde


	Salary Package: HEW 7 from $108,391 + 17% employer superannuation and annual leave loading  
	Appointment Type: Full-time, 2 years fixed term
	Macquarie University (Wallumattagal Campus, North Ryde)


About the Role

An excellent opportunity has arisen for an experienced Project Lead in MND Research to join our team for a NSW Ministry of Health funded research project. The goal of the project is to establish a pilot surveillance unit at Macquarie University for understanding the epidemiology of motor neuron disease (MND) in New South Wales. The Project Lead will manage and oversee the research activities to ensure the project achieves key milestones and outcomes.

Key Responsibilities


	Provide expert direction and project management support for the planning, implementation and reporting for the research project and activities.
	Lead project activities including participant recruitment, ethics and governance applications and monitor project progress to achieve key milestones and outcomes.
	Undertake research, collect and analyse data and information, and make recommendations to the project head and stakeholders to make informed decision on project deliverables.
	Identify potential risks or challenges and leverage expertise to apply and test solutions to actively address and mitigate risks.
	Lead the development of databases and other digital tools to support the projects, ensuring alignment with best practice and relevant policies.
	Manage partnerships with strategic stakeholder organisations.
	Oversee and monitor relevant project cost codes and manage project budgets, including reporting.
	Prepare research data documents and reports for presentation and publication.


About Us

Macquarie Medical School is part of the Faculty of Medicine, Health and Human Sciences (FMHHS) at Macquarie University. FMHHS is ambitiously pushing the boundaries of progressive thinking and challenging what is possible to solve some of the big issues of our time, both nationally and on a global scale. The Faculty forms part of MQ Health, an integrated academic health sciences enterprise which incorporates Macquarie University Hospital and primary and speciality clinics. We have active research programs in neurosciences (especially motor neuron disease, neurological rehabilitation, and the clinical neuroscience of pain), cancer medicine, and vascular science, amongst others.

Research for motor neurone disease (MND) and Parkinson's disease includes sponsored and investigator-initiated Phase I to IV trials, grant-funded research projects and academic research. We operate the largest Neurodegenerative Disease Biobank in Australia with over 70,000 biological samples supporting more than 30 research projects globally. Macquarie University Private Hospital runs patient clinics, labs, imaging and a pharmacy all on campus in close proximity to support clinical trials and support providing patients with access to state-of-the-art treatments.

About You 

You will be an excellent communicator with strong project management, planning and execution skills. You will hold a Bachelor's degree in a health related field with analytical skills and several years of highly relevant clinical research experience. Your interpersonal skills and ability to develop and maintain strong relationships with stakeholders at all levels will be key to success in this role, as will your proven ability to proactively manage project deliverables and work both independently and in a team.

To Apply

To be considered for this position, please apply online by submitting your cv and a separate (2-page maximum) cover letter that demonstrates how you meet the following selection criteria:

Essential Criteria:


	Tertiary qualifications in a health-related discipline coupled with extensive experience and expertise in managing research projects in public health and/or neurodegenerative diseases
	Experience effectively managing high recruiting and fast recruiting including with experience in quantitative and/or qualitative research methodology and working on epidemiological surveys and/or clinical trials
	Experience with risk evaluation, management and mitigation in clinical research
	Experience advising on and writing human ethics applications
	Computer skills including MS Office (particularly Word and Excel), Internet, and database management such as REDCap along with experience preparing communications and project reports
	Excellent interpersonal skills including experience building and maintaining relationships with a diverse range of stakeholders to collaborately achieve project deliverables


Desirable Criteria:


	Masters and/or PhD qualifications in a relevant health-related or data science field
	Experience using statistical software such as SPSS
	Experience working with patients and health care professionals


Role Specific Conditions


	Immunisation for a Category A Worker
	Criminal History Check


Role Enquiries: Richard Gan, Senior Clinical Trials Coordinator at richard.gan@mq.edu.au

Applications Close: Sunday 20 October 2024


Macquarie University

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) with the longest established tradition among the local institutions of higher education. Lingnan University is a global leader in providing quality education focusing on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University aspires to become a leading research-intensive liberal arts institution in the digital era.

Lingnan University’s Faculties of Arts, Business, Social Sciences, School of Data Science, School of Graduate Studies, and School of Interdisciplinary Studies run undergraduate, taught postgraduate and research postgraduate programmes. Its liberal arts education model blends the arts, science, and elements around human and humanities. Lingnan University strives to enhance innovation and technology research to drive a positive impact in the society and the world. Building upon Lingnan University’s existing strength in combining the best of the Chinese and Western liberal arts traditions, the University will leverage its geographical strength in the Northern Metropolis and pioneer the liberal arts education model in the Greater Bay Area (GBA) and beyond. Further information about Lingnan University is available at https://www.ln.edu.hk/.

Applications are now invited for the following post:

Assistant Teaching Officer
School of Data Science
(Post Ref.:24/15)

Responsibilities

The appointee is expected to


	Provide assistance in course preparation;
	Facilitate small team discussion under the supervision of the course instructors;
	Coordinate various student and alumni activities; and
	Perform other research and administrative duties as assigned


Requirements


	A recognized Bachelor/Master’s Degree in Computer Science, Data Science, Information Systems, eBusiness, and related fields;
	Good command of both English and Chinese;
	Be proactive, willing and capable to handle projects; and
	Having an understanding of the Taught Postgraduate Programme and/or our University with solid knowledge of Python, Anaconda, Jupyter notebook and GitHub would be a plus


Salary and Benefits

The commencing salary will be competitive and commensurate with qualifications and experience. Fringe benefits, where applicable, include annual leave, medical and dental benefits and mandatory provident fund.

Application Procedure (online application only)

Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications 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.


Lingnan University

United Arab Emirates, Abu Dhabi

Description

The Robot Learning & Control laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a postdoctoral associate with a strong expertise in learning-based control for robotics, with a particular focus on ensuring passivity and stability during interactions with humans and/or the environment. This position aims to advance the development of control algorithms that maintain safety, stability, and robustness in robotic systems, while leveraging machine learning alongside differential geometry to enhance adaptability and performance. The research will emphasize the integration of Lyapunov stability, passivity-based control, variable impedance control, and imitation or exploration-based learning, particularly in scenarios involving human interaction and environmental complexities.

The successful applicant will engage in cutting-edge research with the following objectives:

Integration of Machine Learning and Differential Geometry: Develop and refine control algorithms that combine machine learning techniques with differential geometric methods to enhance the adaptability and efficiency of robotic systems in dynamic and unpredictable environments.

Passivity and Stability in Human-Environment Interaction: Focus on creating control strategies that ensure stability, which is crucial for safe and stable operations during human-robot interactions and in complex environmental settings.

Variable Impedance Control: Implement variable impedance control strategies to allow robots to dynamically adjust their stiffness and damping properties, improving interaction safety and efficiency in scenarios that require close human-robot collaboration or precise environmental manipulation.

Imitation and Exploration-Based Learning: Proficiency in applying imitation learning and/or exploration-based learning to optimize control policies, enabling robots to learn from human demonstrations and environmental interactions.

Qualifications:


	Applicants must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a     closely related field, with a strong focus on robot control, machine learning, and differential geometry.
	Demonstrated experience in developing advanced control and learning algorithms, particularly in the context of human-robot interaction, in addition to an experience in working with real robotic manipulator.
	A strong publication record in high-impact journals and conferences (e.g., T-RO, IJRR, RA-L, RAS, IROS, ICRA, CDC, etc.), showcasing your expertise.
	Proficiency in programming languages and tools commonly used in robotics, such as C , MATLAB, Python, and ROS.
	Excellent communication and collaboration skills, with the ability to work effectively in an interdisciplinary research environment.


For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Fares Abu-Dakka at fa2656@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.

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

Location Abu Dhabi, United Arab Emirates
Open Date Sep 15, 2024
Deadline Nov 01, 2024 at 11:59 PM Eastern Time

Description

NYU Abu Dhabi (NYUAD) invites NYU faculty based in New York and Shanghai to express interest in offering courses to teach at NYUAD aligning with the curricular needs of our academic divisions: Arts & Humanities, Engineering, Science, and Social Science.  Applicants are encouraged to review our current course offerings and Core Curriculum program. Previous teaching experience at NYUAD is not a requirement.

Located in the cosmopolitan city of Abu Dhabi, NYUAD serves as one of NYU’s portal campuses, fostering a dynamic intellectual environment that embraces diversity, innovation, and cross-cultural understanding. Our mission is to cultivate future leaders who are equipped with the knowledge, skills, and perspectives to address the complex challenges of our interconnected world. By engaging with NYU faculty from different departments and diverse backgrounds and disciplines, NYUAD offers a unique opportunity for interdisciplinary collaboration, academic enrichment, and the cultivation of the next generation of global citizens.

For planning purposes, teaching appointments are planned one year in advance. Appointment durations include:


	One full academic year (successful candidates will teach a minimum of three full-semester courses and should expect to teach their standard NYU course load)
	One semester (successful candidates will teach two full-semester courses)
	7-week appointment in the fall or spring semester (successful candidates will teach one 7-week course)
	Summer Term 2026
	J-Term


In addition to teaching, successful applicants should anticipate engaging in the full spectrum of normal responsibilities expected of NYU faculty. At NYUAD, this includes attendance and active participation in faculty meetings and committees, collaborative research endeavors with NYUAD students and faculty, stimulating discussions on topics pertinent to their expertise, mentoring of students and junior colleagues, and forging valuable partnerships to enrich NYU research endeavors.

Proposals will be reviewed by the NYUAD Deans and the NYU Associate Vice Chancellor for Global Network Faculty Planning. Teaching appointments are subject to the normal consultations and approvals by the relevant NYU School, Dean, and Department Chair, and are subject to final budget approval.

Qualifications

Applicants must hold a full-time current faculty position at NYU New York or NYU Shanghai. Individuals who are not full-time NYU faculty should explore open NYUAD positions here.

Applicants holding a full-time administrative position, such as department chair, should plan to apply to teach at NYUAD following the end of their duties.

Applicants should expect to teach their standard NYU courseload at NYUAD.

Application Instructions

Please upload the following documents to complete your application:


	A short biographical statement (max 1,200 characters including spaces).
	Your CV.
	A letter expressing your interest. Describe how your courses would fulfill curricular requirements at NYUAD; any pre-existing relationships or intellectual mentorships with NYUAD faculty; your philosophies around research, teaching, service, and IDBE; the timing of your availability; and any other relevant professional history.
	Course #1: Provide a brief course description with a proposed title (max 1,200 characters including spaces). Please note that four different course proposals are required. The same course should not be uploaded multiple times.
	Course #2: brief course description with a proposed title (max 1,200 characters including spaces).  The same course should not be uploaded multiple times.
	Course #3: brief course description with a proposed title (max 1,200 characters including spaces). The same course should not be uploaded multiple times.
	Course #4: brief course description with a proposed title (max 1,200 characters including spaces). The same course should not be uploaded multiple times.


For teaching appointments in the fall/spring semesters, NYUAD pays the NYU faculty member’s salary; funds and organizes relocation travel in accordance with NYUAD policies; and provides furnished on-campus housing. Successful applicants may have the opportunity to apply for research funding and to propose a public program at the NYUAD Institute. Faculty at NYUAD participate in development sessions organized by the NYUAD Center for Faculty Advancement and the Hilary Ballon Center for Teaching and Learning. The campus Arts Center and Art Gallery provide world-class events and programs. Information about life and work at NYUAD is described in the Horizons and Faculty Stories publications.

Shortlisted proposals will be contacted to provide a short letter of support from the NYU Department Chair.

For appointments in AY2025-2026, the submission deadline is November 1, 2024. Successful applicants will submit onboarding documents during the spring 2025 semester and attend mandatory onboarding/orientation meetings.

Please note that we are no longer accepting proposals for AY2024-2025.

NYUAD is committed to equality and is an equal opportunity employer. We encourage applications from candidates who will enrich and contribute to the cultural and ethnic diversity of our university. We particularly welcome applications from members of historically underrepresented groups, women, and UAE nationals.

Our commitment to Inclusion, Diversity, Belonging and Equity

Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission. Visit our website for more information on NYUAD’s commitment to IDBE and how these values are fundamental to our mission.


Cyprus University of Technology

About

Rankings

World University Rankings 2024601-800^th

Business and Economics 2024501-600^th

Clinical and Health 2024601-800^th

Computer Science 2024601-800^th

Engineering 2024601-800^th

Physical Sciences 2024801-1000^th

Social Sciences 2024401-500^th

Explore our featured universities

Key Student Statistics

Subjects Taught at Cyprus University of Technology

Business and Economics501–600^th

Clinical and Health601–800^th

Computer Science601–800^th

Engineering601–800^th

Social Sciences401–500^th

Physical Sciences801–1000^th

Company

Legal

Cyprus University of Technology

About

Rankings

Business and Economics 2024501-600th

Clinical and Health 2024601-800th

Computer Science 2024601-800th

Engineering 2024601-800th

Physical Sciences 2024801-1000th

Social Sciences 2024401-500th

Explore our featured universities

Key Student Statistics

Subjects Taught at Cyprus University of Technology

Business and Economics.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}501–600th

Clinical and Health601–800th

Computer Science601–800th

Engineering601–800th

Social Sciences401–500th

Physical Sciences801–1000th

Business and Economics 2024501-600^th

Clinical and Health 2024601-800^th

Computer Science 2024601-800^th

Engineering 2024601-800^th

Physical Sciences 2024801-1000^th

Social Sciences 2024401-500^th

Business and Economics501–600^th

Clinical and Health601–800^th

Computer Science601–800^th

Engineering601–800^th

Social Sciences401–500^th

Physical Sciences801–1000^th