Libyan International Medical University

Times Higher Education

Overview

For Students

For Professionals

Basic information and contact details for Libyan International Medical University

About Libyan International Medical University

Contact Libyan International Medical University

Build your profile to connect with students and professionals around the world

Do you work for this institution?

Select the type of ranking below to see stats

Impact Rankings

About

Rankings

Key stats

Jobs

Subjects

Downloads

FAQs

Suggested universities

China, Ningbo

Department of Electrical and Electronic Engineering at University of Nottingham Ningbo China is seeking outstanding Research Fellows in Electronic Engineering (OUTSOURCED) to join Industrial Joint-Lab on Smart Mobility and Transportation.

Your Responsibility

The purpose of this role is to conduct cutting-edge research on 5G/6G technologies and their integration with smart transportation systems, with a focus on C-V2X applications.


	Formulating research questions and objectives towards the development of research programme for both the lab and industrial partners. This includes the establishment of methodologies and techniques to effectively conduct research within the specified area.
	Conducting research, which includes developing models, testbeds, conducting experiments, and performing analyses, all while adhering to project deadlines and collaborating seamlessly with team members and partners.
	Demonstrating successful research outputs by publishing in high-impact journals and presenting at top international conferences.
	Identifying opportunities and assisting senior staff members in writing bids for research grant applications at both national and international levels.
	To participate in training and staff development events as trainer or trainee as appropriate.
	To maintain appropriate professional development, expertise and awareness.
	To undertake other tasks and responsibilities as may reasonably be required.


About You


	PhD in relevant subject areas;
	Proven track record in high quality journals and conferences publications;
	Practical experience of applying the specialist skills and techniques required for the role;
	Good oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus.


About Us

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 9,000 in just 20 years.

About Industrial Joint-Lab on Smart Mobility and Transportation

The primary aim of this laboratory is to develop innovative technologies that address the growing complexities and demands of modern urban mobility. Through pioneering research and development, the lab seeks to create solutions that are adaptable, scalable, and capable of improving urban transportation systems.

In close collaboration with industry partners, the laboratory focuses on enhancing traffic safety, efficiency, and sustainability. This includes developing state-of-the-art communication protocols, sensor technologies, and AI-driven decision-making systems that empower smarter mobility infrastructure. A core emphasis lies in advancing autonomous driving technologies and connected autonomous vehicles (CAVs) to enable seamless vehicle-to-everything (V2X) communication.

By integrating these technologies, the lab aims to reduce road accidents, optimise traffic flow, and mitigate congestion in increasingly dense urban environments. The research also explores the deployment of resilient and adaptive systems that can handle real-time data from complex environments, enabling CAVs to make instantaneous and accurate decisions.

Additionally, the lab addresses the broader ecosystem of urban mobility, including eco-friendly solutions and sustainable transportation models that align with smart city initiatives. This comprehensive approach ensures that the technologies developed not only meet current mobility challenges but also anticipate future demands, facilitating safer, greener, and more efficient urban transport networks.

Key Areas:

5G and beyond C-V2X Technologies: Enhance vehicle-to-infrastructure (V2I) communication for road safety, traffic efficiency, and autonomous driving.

Smart Sensors and Autonomous Systems: Develop advanced sensors and AI integration for improved vehicle localisation, obstacle detection, and real-time environmental perception.

Connected and Autonomous Vehicles (CAVs): Advance CAV technologies to optimise traffic management, reduce congestion, and improve road safety.

Sustainable Urban Mobility Solutions: Research eco-friendly transportation, such as electric public transport, to promote sustainable urban mobility.

The target breakthrough includes cutting-edge technologies for smart mobility, including C-V2X communication, smart sensors, and AI-driven autonomous systems. These technologies will reduce traffic congestion, enhance road safety, and support the deployment of autonomous vehicles, contributing to sustainable and efficient urban mobility solutions.

Your Remuneration, Benefits and Support

You will be offered a fixed term outsourced contract initially with effect from February 2025 or as soon as thereafter. We are committed to providing competitive employment packages while supporting the wellbeing of our staff to help them reach their full potential.

How to Apply

Applicants should submit an application via our on-line application system before 17 January 2025. Only on-line applications will be accepted. Referees will be contacted prior to interview and interviews will take place in Ningbo China.

Applications should include but are not limited to the following:


	A cover letter
	An up-to-update CV includes academic and research achievement list
	A Research proposal  


Enquiries

Informal enquiries regarding the research project may be addressed to Dr C.F. Kwong (Chiew-Foong.Kwong@nottingham.edu.cn) or Dr David Chieng (David.Chieng@nottingham.edu.cn). If you are unable to apply on-line please contact the Human Resources Office, Tel: 86 574 88180000(Ext. 8404).


University of Nottingham Ningbo, China

$80,099 per annum (plus 17% superannuation)

Australia, Mawson Lakes


	Based in the UniSA STEM Unit at the Mawson Lakes Campus 
	Full-time, fixed term contract until Dec 2027
	Commencement salary: $80,099 per annum (plus 17% superannuation)


About the Role 

Reporting to the Professorial Lead, you will support UniSA STEM's research efforts by contributing to the project “ANVIL: A Narrative Analysis and Visualisation Toolkit for AI Disinformation Campaign,” funded through a DSP Multi-Party Collaborative Agreement with UniSA, UTS, UA, and the Department of Defence.

About UniSA STEM 

At the forefront of cross-disciplinary collaboration, UniSA STEM is developing the next wave of innovative thinkers and new possibilities. Harnessing connections across science, technology, engineering and mathematics, we create innovative solutions and groundbreaking developments across teaching, learning and research. 

About UniSA 

The University of South Australiais Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity.

Essential Skills and Experience 


	A bachelor degree in an appropriate Science or Engineering area relevant to the research area.
	Strong written and oral communication skills, showcased through research reports, publications, educational materials, and effective collaboration with partners, colleagues, and students
	Experience in full stack web development with NodeJS, React framework and Loopback or NestJS development
	Experience with game engines, C# and Unity development. Experience with AR/VR platforms such as Meta Quest
	Ability to design and implement User Interfaces


Benefits 

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as: 


	Access to great personal development opportunities
	Generous superannuation contributions of 17%
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	A variety of leave arrangements


Culture  

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.  

Start Your Unstoppable Career! 

For a copy of the position description and to apply, please visit Working at UniSA. The online application form will list the specific selection criteria that you need to address.  

Please address your cover letter to Georgia Borg, Consultant: Recruitment Central.  For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at recruitment@unisa.edu.au using job reference number 6891. 

Applications close: 11:30pm Sunday 5 January 2025

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on recruitment@unisa.edu.au. Anything you tell us will be kept completely confidential.

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. 

CLICK HERE for Position DescriptionOpens in new window

How to apply:


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please login before starting your application
	If you have forgotten your log in details, click here to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

IMPORTANT: This site is optimised for the latest versions of Internet Explorer, Safari, Firefox and Chrome. Note that earlier versions of any browsers mentioned are supported, but likely to demonstrate slower response times.

By choosing to continue, you agree to the privacy policy. Show Privacy Policy


University of South Australia

Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery. 

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions. 

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,  and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods  that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications. 

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is  February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages). 
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page.  

Aalto University (53rd in the Times Higher Education THE ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times Higher Education subject ranking 2020).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w
Newsletter: http://eepurl.com/gVPBpf

Aalto.fi 

twitter.com/aaltouniversity 
facebook.com/aaltouniversity
instagram.com/aaltouniversity

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

United Arab Emirates, Abu Dhabi

Description

The Public Health Research Center (PHRC) at New York University Abu Dhabi seeks to recruit a talented, motivated and experienced Research Engineer with expertise in creating, developing, testing and maintaining high quality applications and in particular Laboratory Information Management Systems (LIMS). The role of the selected applicant will focus on supporting the Center’s mission by developing a comprehensive system allowing the adequate and effective management of samples and all its associated data. The PHRC aims to understand the basis of health outcomes and traits related to the most common non-communicable diseases in the UAE by investigating and integrating when possible epidemiological, clinical and genetic data.

The appointed applicant will be in charge of creating, developing, configuring and maintaining a LIMS system customized to the needs of the PHRC research projects including but not limited to sample and associated data inventories, development for rapid, efficient and automated data tracking and retrieval workflows. The successful candidate will also contribute to write documentation for the developed tools, pipelines/workflows, SOPs and resources available. The candidate will have to integrate into the existing team of scientists and participate and lead training sessions of the PHRC team when needed. The candidate must have excellent organizational and communication skills with a high level of proficiency in English and the ability to work effectively in a team as well as individually.

 REQUIRED QUALIFICATIONS


	Master’s degree in Computer science, Information Systems or equivalent;
	A minimum of 2 years of related working experience in LIMS environment development, or related environment
	Experience with validation procedures within a software development environment (user acceptance testing, issue tracking/reporting/testing etc.).
	A minimum of 3 years in SDLC (software development life cycle).
	Experience in both Windows and Linux OS.
	A minimum of 3 years’ experience in relational databases (e.g. MySQL) and developing front-end database interfaces.
	A minimum of 3 years’ experience in at least one of the following languages Perl/Python/Java/PHP.
	Experience in server administration and maintenance.


For consideration, applicants need to submit, through the Interfolio platform, a cover letter, curriculum vitae, transcript, research statement and three letters of reference, all in PDF format. If you have any further questions, please send an email to Dr. Youssef Idaghdour, at yv8@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

United Kingdom, Egham

School of Performing and Digital Arts (Foundation Year)

Location
Egham

Salary
£48,619 to £57,429 per annum - including London Allowance

Post Type
Full Time

Closing Date
23.59 hours GMT on Tuesday 21 January 2025

Reference
1024-328-R

Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website.

Full-time, Permanent

Applications are invited for the post of Teaching-Focused Lecturer in Computer Science on Integrated Foundation Year (IFY) Programmes at Royal Holloway, University of London.

The well-established and successful IFY at Royal Holloway teaches and supports over 400 students per year across a broad range of disciplines. We are currently expanding the staffing of our STEM (Science Technology Engineering and Mathematics) strand to enhance the foundation year experience for our students through more discipline-focused courses.

The successful applicant will be an experienced and talented teacher at Level 3, with a strong background in Computer Science, and a particular interest in programming. You will be experienced in using and teaching Python, Javascript, HTML, and CSS in a way that encourages and inspires students to embrace computer programming as part of their learning journey. You will also be an excellent communicator and versatile teacher, able to adapt your teaching methods to fit the diverse backgrounds of our students, in an approach centered on inclusivity, equity and the provision of skills for choice and opportunity.

In return, we offer a highly competitive rewards and benefits package including:


	Generous annual leave entitlement
	Training and Development opportunities
	Pension Scheme with generous employer contribution
	Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of eyesight testing.
	Free parking


The post is based in Egham, Surrey where Royal Holloway is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London.

For an informal discussion about the post, please contact Dr Deborah Harvey: d.harvey@rhul.ac.uk

For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk

If you have previously applied for this position within the last three months, we kindly request that you do not reapply.

Please quote the reference: 1024-328-R

Closing Date: 23:59, 21 January 2025

Interview Date: To Be Confirmed

Further details: Job Description & Person Specification


Royal Holloway University of London

You may want to explore jobs from other universities which are relevant to you

Jobs you might be interested in

A breakdown of student statistics at Libyan International Medical University

Key Student Statistics

Select the type of rankings below to see stats

See below for a range of subjects taught at Libyan International Medical University

Subjects Taught at Libyan International Medical University

Libyan International Medical University

About

Discover similar universities

Company

Legal