profile-logo-default.png

Law Enforcement Academy of the Republic of Uzbekistan

Essentially the Uzbek version of Police Academy, the Law Enforcement Academy of Uzbekistan trains personnel in the field of crime investigation, as well as for local and national prosecutors’ offices.
Established in 2022, the Tashkent-based academy replaced a specialist branch of Tashkent State Law University. All the branch’s educational material and staff members were transferred to the new academy.
The academy provides professional development for workers already in these roles, as well as offering undergraduate and postgraduate degrees.
Both sets of degree programmes come under the faculty of law, and focus on investigative activity and prosecutorial activity. In addition, master’s programmes look at anticorruption measures and international human-rights law.

Law Enforcement Academy of the Republic of Uzbekistan | World University Rankings | THE

51吃瓜

Overview

For Students

Teaching and Research

Basic information and contact details for Law Enforcement Academy of the Republic of Uzbekistan

About Law Enforcement Academy of the Republic of Uzbekistan

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

Do you work for this institution?

Quality Education

Decent Work and Economic Growth

Responsible Consumption and Production

Peace, Justice and Strong Institutions

Partnership for the Goals

Overall

World University Impact Rankings - Clean Energy 2025

Select the type of ranking below to see stats

Impact Rankings

About

Rankings

Key stats

Jobs

Subjects

Downloads

FAQs

Suggested universities

United Arab Emirates, Abu Dhabi

Description

Are you passionate about interdisciplinary research, digital innovation, and building technology that improves urban living? The Center for Interacting Urban Networks (CITIES) at NYU Abu Dhabi is seeking a motivated and skilled Research Assistant to help drive the next generation of urban research and community-focused innovation in the UAE.

About the Role

As a Research Assistant, you will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data-driven systems, conduct advanced analyses, and promote sustainable and equitable urban living through digital tools such as CITIESair and the CITIES Dashboard. You’ll also play a key role in community outreach, engaging with stakeholders across academia, public institutions, and local communities.

What You’ll Do


	Enhance and expand CITIES Digital Initiatives (CITIESair and CITIES Dashboard)
	Build user interfaces and web/mobile applications for academic research
	Conduct usability testing, data analysis, and visualization for interdisciplinary studies
	Coordinate with local and regional partners, including schools, government bodies, and NGOs
	Collaborate with other NYUAD research centers on projects related to sustainability and digitalization
	Mentor undergraduate student assistants and support research fellows
	Organize workshops, community events, and help publicize CITIES' research.


What We’re Looking For

Required:


	Master’s degree in Computer Science or Software Engineering
	Strong programming skills in web and mobile development (e.g., HTML, JavaScript, React)
	Experience with Internet-of-Things (IoT), especially air quality sensor networks
	Data analysis and visualization skills (Python, R, Google Charts, etc.)
	Familiarity with both qualitative and quantitative research methods
	Excellent communication and stakeholder engagement skills


Preferred:


	Training in smart cities or software-enabled sustainability
	Knowledge of WordPress and experience managing student assistants
	Background in community-focused research or civic tech


Why Join CITIES?

CITIES is an interdisciplinary research hub focused on addressing complex urban challenges in the UAE and beyond. By joining our team, you’ll be part of a forward-thinking center that combines technology, science, and policy to create real-world impact.

To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, research statement (except for Research Assistant positions, and at least 2 letters of recommendation, all in PDF format.?

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.


New York University Abu Dhabi Corporation

United Kingdom, London

Director of Student Market Research, Insights & Planning

Founded in 1829, King’s College London is an internationally renowned research-intensive university in the heart of London, dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place.

Kings has over 40,000 students from some 150 countries, and over 12,000 employees and our network spans pioneering thinkers across all sectors, from policymakers, healthcare professionals, entrepreneurs, and scientists, to name just a few.? With nine diverse faculties, King’s offers a dynamic home for our students to thrive.

We are now seeking a Director of Student Market Research, Insights, & Planning to provide crucial, data-driven support which will allow us to continue to innovate how we attract students. The postholder will lead a team responsible for providing critical information and understanding regarding incoming students and act as a research and insight hub for the university’s student recruitment efforts.

By conducting market insight and research analysis, identifying the prospective student journey, understanding key decision points and influencers, and ensuring accurate measurement and reporting of performance metrics, this role will inform and help to shape our overall recruitment strategy to guarantee continued success in an increasingly competitive global market. As a member of the 51吃瓜 Student Recruitment and Admissions senior team, and working collaboratively with peers, the postholder will identify key areas for investment, opportunities for growth, and optimisation of recruitment strategies in line with core King’s principles.

The ideal candidate will have proven experience in market research and data analysis leadership positions, preferably in large and complex environments. In working with colleagues across the university, and from various disciplinary backgrounds, they will be required to evidence excellent communication and analytical skills, and able to lead and collaborate on large projects. The successful candidate will also be expected to demonstrate a commitment to King’s principles and values, particularly around equality, diversity and inclusion.

For further information please visit the job description and to apply please go to the King’s College London Jobs? pages and submit the specified documentation. For an informal conversation please contact Jamie Surgenor at kings-search@kcl.ac.uk

The closing date for applications is 17.00 on Friday 27th June. The selection process will include a formal two stage interview process.

King’s is committed to equality, diversity and inclusion and through this appointment it is our aim to develop candidate pools that include applicants from all backgrounds and communities.


King's College London

?44,355 - ?47,882 per annum, including London Weighting Allowance

About us

From its earliest years, the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) has been fundamentally changing and shaping how we understand, prevent and treat mental illness and other conditions that affect the brain.? The legacy, ethos and drive of the IoPPN has ensured its position at the forefront of mental health care, redefining mental illness, its treatment and its place in society.

The IoPPN is divided into 14 academic departments across three major academic Schools: Academic Psychiatry, Mental Health & Psychological Sciences, and Neuroscience.

The Department of Psychosis Studies, part of the School of Academic Psychiatry, is one of the world’s leading centres for research into psychotic disorders. Our research includes the following major themes: Comorbidities & transdiagnostic approaches; Interventions; Neuroscience & biological mechanisms; Prediction and analytics; Risk factors and population health; and Treatment resistance. Our work involves a wide range of methodologies, including artificial intelligence/ digital technologies and interventions, cognitive neuroscience approaches, epidemiology, experimental medicine and clinical trials, ex vivo analyses, genomics, health service and applied research, meta-analysis and evidence synthesis, prevention and early intervention, psychological approaches, psychopathology/ phenomenology, neuroimaging, real world data analyses and natural language processing, and stem cell techniques.

About the role

This is an exciting position where the successful candidate will have the opportunity to work as part of an internationally leading team of researchers investigating biological bases of neuropsychiatric and neurodegenerative disorders and the mechanism of action of treatments. The team has a particular interest in investigating the mechanism of action of cannabinoids and a key component of this program of work will involve the application of cutting edge neuroimaging techniques such as fMRI to investigate the neural substrates underpinning the harmful effects of recreational cannabis use as well as potential therapeutic effects of cannabinoids.

They will be expected to support ongoing studies. For example, mechanistic sub studies linked to clinical trials as well as observational studies and contribute to grant applications or protocols. This often involves neuroimaging or cognitive paradigms.

The successful candidate will will work closely with Prof Sagnik Bhattacharyya?www.kcl.ac.uk/people/professor-sagnikbhattacharyya?and other investigators based at King’s College London, in particular Dr Latha Velayudhan?www.kcl.ac.uk/people/dr-latha-velayudhan They will also interact with clinical fellows, research assistants, postdoctoral researchers and PhD students working in the group.

This is a full-time, fixed term post, currently funded for 12 months with potential for extension and an anticipated start from August 2025. The successful candidate will be encouraged to apply for postdoctoral fellowships

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria?


	PhD in Psychiatry or a related field e.g. Neuroimaging, Genetics or another other field focusing on neuropsychiatric conditions
	Experience in quantitative data analysis techniques with proficiency in Python, R, MATLAB or another relevant language.
	Good communication skills, ability to critically appraise research findings and present at meetings and conference.
	Self-motivated with ability to work independently and having good organisational and time management skills.
	Strong publication record appropriate for career stage with first-author publications.
	Excellent interpersonal skills to develop and maintain effective working relationships
	Knowledge and interest in study design (research) and statistical analysis approaches


Desirable criteria


	Experience in grant application development.
	An understanding of data protection and patient confidentiality.
	Knowledge of neuropsychiatric or neurodegenerative disorders.
	Experience or interest in the analysis of neuroimaging datasets or genetic data Full details of the role and the skills and experience required, can be found in the attached job description which provided on the next page.
	Experience or interest in clinical trials or pharmacological challenge studies


Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

This post is subject to Disclosure and Barring Service and/or Occupational Health clearances.

Grade and Salary:??44,355 - ?47,882 per annum, including London Weighting Allowance
Job ID:?116345
Close Date:?22-Jun-2025
Contact Person:?Prof Sagnik Bhattacharyy
Contact Details:?sagnik.2.bhattacharyya@kcl.ac.uk


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 is well positioned to take lead as 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 post:

Associate Director (Application Development) Information Technology Services Centre (Post Ref.: 25/130) Responsibilities

Reporting to the CIO & University Librarian, the Associate Director (Application Development) for the Information Technology Services Centre (ITSC) will lead the strategic development, design, implementation, and maintenance of enterprise-level applications and software solutions critical to the university’s academic, administrative, and research operations. This role demands a visionary leader with robust technical expertise, exceptional management skills, strong leadership skills and a passion for leveraging technology to address institutional challenges. The successful candidate will oversee a team of developers, collaborate with cross-functional stakeholders, and ensure the delivery of secure, scalable, and user-centric applications aligned with Lingnan’s institutional goals. The appointee is required to deliver the following key responsibilities:


	Application Development Leadership:
	
		Lead and manage the ITSC’s application development team of over 16 developers, ensuring delivery of secure, scalable, and user-centric software solutions
		Oversee the full software development lifecycle, including requirements analysis, design, coding, testing, deployment, and post-launch support
		Steer the migration to a new Enterprise Resources Planning (ERP) system including planning for data migration, system integration with existing ERP and other internal systems, stakeholder engagement, vendor management, testing, and implementation while ensuring smooth operation of the university during migration
		Lead initiatives related to digital transformation, process automation, and integration with existing systems, fostering innovation across the University
		Drive the adoption of best practices in software development, including Agile methodologies, DevOps, and continuous integration/continuous deployment (CI/CD)
	
	
	Strategic Planning:
	
		Support the CIO & University Librarian to develop and execute a technology roadmap that aligns with Lingnan’s strategic goals
		Identify and integrate emerging technologies (e.g. cloud computing, AI and data analytics) to optimize university operations and user experiences
	
	
	Stakeholder Engagement:
	
		Collaborate with academic faculties, administrative units, research staff and other stakeholders to understand their needs and deliver tailored IT solutions
		Build strong partnerships with vendors, external developers, and industry experts to ensure successful project outcomes
	
	
	Project and Resource Management:
	
		Develop and manage budgets and resource allocations for application development projects
		Lead multiple high-priority projects, ensuring timely delivery within budget and alignment with quality standards
		Proactively identify risks, resolve bottlenecks, and communicate progress to stakeholders
	
	
	Team Development:
	
		Mentor and inspire the ITSC application development team, fostering a culture of collaboration, innovation, and continuous improvement
		Conduct performance reviews, set professional development goals, and provide constructive feedback
	
	
	Compliance and Security:
	
		Ensure all applications comply with university policies, data privacy regulations (e.g. PDPO, GDPR and PIPL), and cybersecurity best practices
		Implement robust security measures to safeguard sensitive university and user data
	
	
	Perform any other duties as requested by supervisor(s)


Requirements


	A recognized degree in Computer Science, Information Technology, or a related discipline
	At least 15 years of experience in software development, with at least 5 years in a leadership role overseeing application development or similar functions
	Proven track record in successfully leading large-scale IT projects from conception to implementation, preferably in an academic or research environment
	Experience in ERP migration is highly desirable
	Expertise in enterprise systems (e.g. ERP, LMS and CRM), Agile/Scrum methodologies, DevOps practices, and modern programming languages (e.g. Java, Python and .NET)
	Proficiency in database systems (SQL and Oracle), web technologies (HTML5 and JavaScript frameworks), cloud platforms (AWS and Azure) and API development
	Excellent leadership, interpersonal and communication skills with strong ability to engage diverse stakeholders
	Outstanding project management skills, with a track record of delivering complex projects on time and within budget
	Certifications such as PMP, Scrum Master, or ITIL, and knowledge of AI, machine learning, or data analytics tools is preferred


Salary and Fringe Benefits

The rank and commencing salary will be commensurate with qualifications and experience. Fringe benefits, where applicable, include annual leave, medical and dental benefits, mandatory provident fund and gratuity.

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

?44,355 - ?51,735 per annum, including London Weighting Allowance

About us

The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models,? graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation, knowledge engineering, linked data.

About the role

The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but also process blueprints and guidance for knowledge engineers to use generative AI tools productively.?

The post holder will work closely with Prof Elena Simperl and Dr Albert Mero?o Pe?uela and a team of 15+ researchers and PhD students in the area of knowledge graphs. The role covers research in the areas mentioned above, as well as the production of scientific publications and application showcases to drive research impact. The researcher will also be expected to support the organisation of impact creation activities, including hackathons, workshops, tutorials, and community meetups. The research outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance.

The ideal candidate will have solid expertise in the technical areas mentioned earlier, as well as a proven track record of scientific excellence (through publications in A and A* conferences and journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with knowledge engineering methodologies and with semantic technologies, in theory and practice, is a firm requirement.?

The post is full-time (35 hours per week), offered on a fixed term contract for 18 months. We can discuss part-time options in exceptional circumstances. There is also the option to extend the contract beyond the 18 months provided funding is available.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	PhD in computer science, AI or related area
	Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL
	Proven experience with predictive and generative AI
	Practical experience in using large language models, generative AI techniques, prompt engineering
	Proven record of A/A* scientific publications and open science/FAIR practices
	Teamwork skills demonstrated e.g. through project work, organization of joint events, co-authored papers etc.
	Time management and organisational skills, including experience in organizing small scientific workshops and similar


Desirable criteria


	Familiarity with the design of AI enabled tools, AI assistants, and agentic AI
	Familiarity and contributions to Wikipedia and/or Wikidata
	Familiarity with one or more of these application domains for neuro-symbolic AI: law, cultural heritage, enterprise data management
	Track record of organising dissemination and community building events e.g. workshops or tutorials co-located with academic conferences


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

*?Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘?How we Recruit’ pages.

Grade and Salary:??44,355 - ?51,735 per annum, including London Weighting Allowance
Job ID:?116389
Close Date:?30-Jun-2025
Contact Person:?Elena Simperl
Contact Details:?Elena.simperl@kcl.ac.uk


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 Law Enforcement Academy of the Republic of Uzbekistan

Key Student Statistics

Select the type of rankings below to see stats

Law: Law

See below for a range of subjects taught at Law Enforcement Academy of the Republic of Uzbekistan

Subjects Taught at Law Enforcement Academy of the Republic of Uzbekistan

51吃瓜

Law Enforcement Academy of the Republic of Uzbekistan

About Law Enforcement Academy of the Republic of Uzbekistan

Impact Rankings

Impact Rankings 20251001-1500^th

Quality Education 2025601-800^th

Decent Work and Economic Growth 2025401-600^th

Responsible Consumption and Production 2025401-600^th

Peace, Justice and Strong Institutions 2025401-600^th

Partnership for the Goals 2025601-800^th

Discover similar universities

Subjects Taught at Law Enforcement Academy of the Republic of Uzbekistan

Law

Company

Legal

51吃瓜

Law Enforcement Academy of the Republic of Uzbekistan

About Law Enforcement Academy of the Republic of Uzbekistan

Impact Rankings

Quality Education 2025601-800th

Decent Work and Economic Growth 2025401-600th

Responsible Consumption and Production 2025401-600th

Peace, Justice and Strong Institutions 2025401-600th

Partnership for the Goals 2025601-800th

Discover similar universities

Subjects Taught at Law Enforcement Academy of the Republic of Uzbekistan

Law

Quality Education 2025601-800^th

Decent Work and Economic Growth 2025401-600^th

Responsible Consumption and Production 2025401-600^th

Peace, Justice and Strong Institutions 2025401-600^th

Partnership for the Goals 2025601-800^th