University of Belgrade

Times Higher Education

Overview

For Students

For Professionals

Contact the University of Belgrade

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

United Arab Emirates, Abu Dhabi

Description

The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated Postdoctoral Associate to advance cutting-edge research in machine learning (ML). Our lab explores the intersection of artificial intelligence, and human-computer interaction, striving to create technologies that amplify human potential.

The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision, speech, images, and physiological signals.

Preferred Experience:

The lab highly values candidates with one or more of the following experiences:


	Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles and frameworks, in particular, experience conducting usability studies and designing user-centric AI systems.
	Assistive / Collaborative Robotics: Interest in developing robotic systems for rehabilitation, assistive technology, or neuro-prosthetics, leveraging machine learning to improve precision and adaptability in user interactions. Knowledge of deploying robots in shared workspaces, focusing on safety, cooperation, and efficiency in human-robot teams.
	Multi-Modal ML: Expertise in working with diverse data types, such as vision, speech, images, and physiological signals. Experience integrating multiple modalities to build robust AI systems is an advantage
	Interdisciplinary Applications: Leveraging LLM / VLMs for interdisciplinary problems, such as: AI-driven scientific discovery, automating hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative workflows in complex organizational settings.


Qualifications:


	Applicants must have a PhD in Computer Science or related field.
	Experience in one or more ML domains, such as deep learning, reinforcement learning, or human-centered ML.
	Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository.
	Excellent abilities in communication, teamwork, and mentorship.
	Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, CHI, CVPR).


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. Tuka Alhanai at tuka.alhanai@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


New York University Abu Dhabi Corporation

Australia, Parkville

Position Number: 0064771
Location: Parkville
Role type: Full-time; Fixed-term for 12 months
Faculty: Faculty of Medicine, Dentistry and Health Sciences
Department/School: Melbourne School of Global and Population Health
Salary: Academic Level A – $83,468 - $113,262 p.a. plus 17% super
Academic Level B: $119,231 - $141,581 p.a. plus 17% super


	Conduct health economic evaluations of emerging interventions for chronic diseases, with a focus on chronic obstructive pulmonary disease (COPD), chronic kidney disease and diabetes
	Contribute to development of simulation models using cutting-edge methodologies
	Collaborate with an interdisciplinary team consisting of leading health economists, clinicians, biostatisticians and health informaticians
	Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families.


About the Role

This is an exciting opportunity for a dedicated researcher with a strong interest in health economics of chronic disease. The ideal candidate will be eager to drive a meaningful change through extensive collaborations and the use of cutting-edge simulation modeling techniques. The successful candidate is expected to support, develop, and manage a program of health economics under the direction of A/Prof An Duy Tran. The appointee will also provide support to health economics research related to clinical studies and provide inputs to the grant application development that foster new collaborations and secure funding.

Your responsibilities will include:


	Contributing to a range of health economic projects, including economic evaluations alongside clinical trials and simulation modelling in disease areas such as chronic kidney disease, chronic obstructive pulmonary disease (COPD), and diabetes.
	Providing support for the development of grant applications, including contributions to health economic study designs and analysis plans
	Producing and assisting with preparing high-quality research outputs, including methodological and empirical research findings, for publication in peer review journals
	Disseminating research findings through scientific meetings, including seminars, workshops and conferences


Who We Are Looking For

We are seeking individuals with exceptional quatitative skills, excellent communication and interpersonal skills, and self-driven commitment to conducting impactful research in health economics and simulation modelling.

You will also have:


	A master's degree or higher in Health Economics, Public Health, Health Services Research, or a closely related field (Level A)
	A PhD degree in Health Economics, Public Health, Health Services Research, or a closely related field (Level B)
	Proven experience in conducting health economic evaluations and proficiency in analysing large, complex datasets
	Demonstrated involvement in writing peer reviewed articles, delivering conference presentations, and developing research grant proposals


For further information regarding responsibilities and requirements, please refer to the attached PD.

This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check. This is essential to guarantee a secure environment for all individuals at the University. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.

Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.

Your New Team – Centre for Health Policy, and Methods and Implementation Support for Clinical and Health research (MISCH) Hub

The Centre for Health Policy (CHP) is a leading voice in health policy, committed to improving health outcomes, access to care, and health system resilience. We produce evidence and insights that shape policy and decision-making. Our interdisciplinary team addresses critical health challenges. As a member of the CHP, you'll impact policy, conduct advanced research, and influence healthcare's future. We offer professional development through specialized courses and teaching opportunities.

The MISCH Hub offers high-quality research support in clinical and health domains within the Faculty of Medicine, Dentistry and Health Sciences, extending to associated hospitals and institutes. As part of the MISCH Hub team, you'll collaborate with clinicians to write grant proposals for prospective funding and publications in top-tier journals. MISCH provides a spectrum of educational opportunities for researchers and students, including beginner to advanced REDcap workshops, and seminars on biostatistics, grantsmanship, health economics, and co-design, all designed to enhance your professional skills.

What We Offer You!

In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page!

About the University of Melbourne

We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn.

Be Yourself

The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity.  First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments, please contact the employee listed on the first page of the Position Description found below, with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".

Aboriginal and Torres Strait Islander Applicants

We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.

For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring

Join Us!

If you feel this role is right for you, please apply with the following documents: 


	Resume
	Cover Letter outlining your interest and experience
	Responses to the selection criteria in the Position Description*


*For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria

Please ensure that you apply through the Apply Now button at the bottom of this advertisement. However, if you have any questions regarding the recruitment process, please feel free to contact Nick Petersen via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.

If you have any particular questions regarding the job please follow the details listed on the Position Description.

Position Description

Applications close: 25 Jan 2025 11:55 PM AUS Eastern Daylight Time


The University of Melbourne

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education.  It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world.  Moving forward, Lingnan University aspires to become a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies.  To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students.  With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies.  Further information about Lingnan University is available at https://www.ln.edu.hk/.

Applications are now invited for the following post:

Professor and Director
Pan Sutong Shanghai-Hong Kong Economic Policy Research Institute
(Post Ref.: 24/245)

Pan Sutong Shanghai-Hong Kong Economic Policy Research Institute (PSEI) aims to promote policy-related research on economic development of the Mainland and Hong Kong. It will synergise resources and expertise in the Mainland and Hong Kong to strengthen research on salient issues related to the economic and financial development of the two places. It will also provide research consultancy on industry and economic policies, in addition to offering policy advice to the authorities to foster mutual prosperity of the Mainland and Hong Kong.

The Institute is seeking an outstanding scholar with distinguished scholarly accomplishment in research, teaching and knowledge exchange in the field of policy-related research on economic development of the Mainland and Hong Kong. The appointee will be appointed as a Professor in the Department of Economics and concurrently as Director of the PSEI.

The Director of PSEI will be expected to (i) provide strategic direction and leadership for the operation of the Institute to ensure research quality and effectiveness; (ii) formulate and implement strategies for networking and building rapport with academia, business sector, industries and other related stakeholders; (iii) explore new collaboration opportunities with community partners and stakeholders and (iv) identify and secure funding opportunities through grants, partnerships and sponsorships to support the research projects/programmes and various activities of the Institute.

General Requirements

Applicants should have a PhD degree in Economics or relevant discipline, with substantial teaching experience and excellent track record in research and scholarly activities. Good networking capability and ability to establish linkages with the business sector, industries and other research stakeholders would be a definite advantage.

Salary and Benefits

The conditions of appointment will be competitive. The remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee.

Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointments with possibility of consideration for substantiation. For applicants with outstanding credentials, substantiation at appointment will be considered.

Application Procedure (online applications only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications will continue until the 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

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 Professor / Assistant Professor
Department of Operations and Risk Management
(Post Ref.: 24/355)

The appointee will join the Faculty of Business (https://www.ln.edu.hk/fb/) and will be expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities. In particular, the appointee is expected to apply for external competitive grants and commit to teaching excellence and active services to the Faculty and the University. Candidates are required to provide evidence of their research records and quality teaching. A proven record in academic leadership and institutional service would be a distinct advantage.

General Requirements

Candidates should have (i) a PhD degree in Information Systems or a relevant discipline; (ii) a strong publication record in peer-reviewed journals in Information Systems and relevant areas; (iii) a good track record in competitive grant applications; and (iv) relevant teaching experience.

For appointment of Associate Professor, candidates should have at least 5 years of relevant experience in research and teaching, with a strong publication record in peer-reviewed journals and a soundtrack record in teaching and competitive grant applications in relevant areas. Top-tier journal publications and successful GRF applications would be a distinct advantage. For appointment of Assistant Professor, candidates should have a good research record and demonstrate strong potential in publishing high-quality papers. Relevant work experience is not required but would be a plus.

Lingnan University pursues excellence in both teaching and research. The appointee is expected to conduct research projects and publish outputs with high impact, teach courses at the undergraduate and postgraduate levels, and participate in academic and professional activities. In particular, the appointee is expected to apply for an external competitive grant and commit to teaching excellence and active services to the Department, the Faculty, and the University. Applicants should provide information on their work experience, qualifications, research records, and evidence of quality teaching. Excellent communication and presentation skills are essential.

Appointment

The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation.

Application Procedure (online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications will continue until the 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.


Description

Khalifa University is a leading academic institution dedicated to providing world-class education, research, and innovation. The Department of Computer Science within the College of Computing and Mathematical Sciences at Khalifa University covers a wide array of fields including information systems, computer and information security, software engineering, Internet of Things, embedded systems, computer vision, artificial intelligence, among others. The faculty members conduct cutting-edge research on a wide range of topics within these fields. The department provides Bachelor of Science degree in Computer Science, M.Sc. in Computer Science, and Ph.D. in ECE.

The department invites applications for two positions in the area of Artificial Intelligence at the rank of Assistant Professor. Research and teaching interests may include but are not limited to machine learning, reinforcement learning, multi-agent systems, natural language processing, and security and software engineering as it relates to Artificial Intelligence. Candidates with quantum computing background are also welcome to apply. 

Qualifications

A Ph.D. or equivalent degree in Computer Science, Artificial Intelligence or related disciplines from an accredited institution is required, along with a minimum of two years of experience. Preference will be given to candidates with education from and/or previous service in distinguished institutions of higher education. The successful candidates will join a vibrant and forward-thinking department with a focus on cutting-edge research and excellence in education. We are seeking Assistant Professors specializing in Artificial Intelligence to contribute to our academic mission. The candidates are expected to engage in high-impact research, teach undergraduate and graduate courses, mentor and advise students, fostering intellectual curiosity and research excellence and actively participate in the academic community.

Candidates should demonstrate expertise in fundamental Artificial Intelligence, have an established research reputation or outstanding research potential, strong publication record in top venues including leading Artificial Intelligence conferences and journals, the ability to attract external research funding, and a strong commitment to teaching at the undergraduate and graduate levels.

The candidate’s CV should include the following information, among others: Field of Specialization, Citation Data from Scopus and Scholar with links, Academic Qualifications, Academic Honors and Awards, Membership of Professional Bodies; Summary of Courses Taught, Participation in Academic Accreditation if any; Students Supervised by Level, Complete List of Publications, Research Grants Obtained; Membership of Conference Committees, Membership of Journal Editorial Boards, and Service as Reviewer.

We offer competitive remuneration, generous employment benefits, and access to funding to undertake research of relevance to the industry.

Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team (recruitmentteam@ku.ac.ae).


University of Belgrade

Rankings

World University Rankings 20251001-1200^th

Arts and Humanities 2023501-600^th

Business and Economics 2024601-800^th

Clinical and Health 2023401-500^th

Computer Science 2023801+

Education 2023401-500^th

Engineering 20231001+

Law 2023251+

Life Sciences 2023601-800^th

Physical Sciences 20231001+

Psychology 2023401-500^th

Social Sciences 2023601-800^th

Discover similar universities

Key Student Statistics

Subjects Taught at the University of Belgrade

Business and Economics601–800^th

Company

Legal

University of Belgrade

Rankings

Arts and Humanities 2023501-600th

Business and Economics 2024601-800th

Clinical and Health 2023401-500th

Computer Science 2023801+

Education 2023401-500th

Engineering 20231001+

Law 2023251+

Life Sciences 2023601-800th

Physical Sciences 20231001+

Psychology 2023401-500th

Social Sciences 2023601-800th

Discover similar universities

Key Student Statistics

Subjects Taught at the University of Belgrade

Business and Economics.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}601–800th

Arts and Humanities 2023501-600^th

Business and Economics 2024601-800^th

Clinical and Health 2023401-500^th

Education 2023401-500^th

Life Sciences 2023601-800^th

Psychology 2023401-500^th

Social Sciences 2023601-800^th

Business and Economics601–800^th