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Baikal State University

Baikal State University | World University Rankings | ɫ��ֱ��

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Malaysia

Introduction:

The University of Southampton Malaysia (UoSM) is an international branch campus of the University of Southampton, a founding member of the UK's Russell Group and consistently ranked among the world's leading universities. UoSM delivers high-quality British education in Malaysia, offering programmes across Business, Engineering and Computer Science.

We are now at a defining moment in UoSM’s journey. Guided by our ambitious Growth Strategy, we are reimagining the University not merely as a branch campus, but as a beacon of British higher education excellence in Malaysia and the wider region. At the heart of this transformation is the Triple Helix model of Education, Research and Knowledge Exchanged & Enterprise which integrates high-quality teaching, world-class research, and active collaboration with industry, government, and communities to deliver tangible societal and economic impact.

The role:

As part of our ambitious growth strategy, we are seeking to appoint an Assistant Professor in Computer Science to support the continued growth of our Computer Science portfolio within the School of Electronics and Computer Science, including undergraduate and postgraduate programmes.

The successful candidate will contribute to the delivery of high-quality teaching across areas such as Artificial Intelligence, Machine Learning, Data Science, Data Management, Natural Language Processing, Cloud Computing, and related computing disciplines. They will also contribute to curriculum development, student supervision, research activities, and the wider academic life of the School.

This role requires an educator and researcher who is committed to delivering engaging, innovative and student-centred learning experiences while advancing research excellence. The successful candidate will be responsible for delivering lectures, developing assessments, supervising undergraduate and postgraduate research projects, contributing to curriculum enhancement, and supporting the University's research strategy through high-quality scholarly activities and industry collaboration.

About you:

We particularly welcome applications from candidates with expertise in Artificial Intelligence, Machine Learning, Data Science, Cloud Computing or related Computer Science disciplines, and with experience in applying these technologies to real-world challenges. Candidates with industry experience who can bridge the gap between academic theory and contemporary computing practice through the integration of practical case studies and emerging technologies are especially encouraged to apply.

You will join a collaborative and inclusive academic community committed to excellence in education, impactful research and meaningful engagement with industry and society. At UoSM, we place equal importance on achievement, innovation, collaboration, and the wellbeing and development of our people.

Essential requirements:


	PhD in Artificial Intelligence, Data Science, Computer Science or a closely related discipline.
	Experience of teaching in higher education.
	Evidence of research activity and scholarly publication.
	Excellent communication and interpersonal skills.
	Ability to contribute to curriculum development and student success.
	Commitment to collaborative working and inclusive academic practice. 


The following would be advantageous:


	Experience in research funding and grant applications. 
	Knowledge of Malaysian higher education regulatory frameworks (MQA and MOHE). 
	Relevant industry experience in Computer Science, Artificial Intelligence, Data Science or related fields. 


At the University of Southampton Malaysia, we are committed to creating an environment where everyone can thrive. Guided by our core values of Safety, Respect, and Growth, we foster an inclusive culture where everyone feels valued and empowered to bring their whole selves to work. We support our staff through generous leave, additional University closure days, and a flexible working approach where appropriate.

Application procedure:

If you are enthusiastic about shaping the future of foundation education at a globally recognised institution, we welcome your application.

Internal candidates are encouraged to apply. Applications will be considered in accordance with the University's recruitment and selection procedures.

You should submit your ONE (1) PDF document containing a cover Letter (addressing key responsibilities and requirements) and up to date CV to jobs.uosm@southampton.ac.uk. The application deadline will be midnight on the closing date stated above.


University of Southampton

United Arab Emirates, Abu Dhabi

Description

The Center for Quantum and Topological Systems (CQTS), New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to work on interdisciplinary research in quantum systems.

The successful applicant will Performing interdisciplinary research in quantum systems within the projects of the center and in alignment with its goals, in collaboration and coordination with the PI and/or the Co-PIs, potentially leading to quality publications. Participation in the activities of the center, including workshops, training sessions, seminars, conferences, hackathons, meetings, and interaction with visitors. Mentoring of undergraduate research students in coordination with the PI and Co-PIs. Promoting the research done at the center by giving talks at national and international seminars/ meetings/ workshops/ conferences. Helping in teaching tutorials/recitations as the need arises.

Applicants must have a Bachelors in one of the following: Computer Science, Computer/Electrical/Communication Engineering, Mathematics, Physics.

For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript of degree, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Prof. Hisham Sati at nyuad.cqts.info@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 NYU Abu Dhabi

https://nyuad.nyu.edu/en/ 

NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.

NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.

Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.

Working for NYUAD

At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.

Join NYU Abu Dhabi, an exceptional place for exceptional people.

NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.


New York University Abu Dhabi Corporation

Hong Kong

Ref.: 537081
Work type: Full-time
Department: Department of Family Medicine and Primary Care, School of Clinical Medicine (22500)
Categories: Senior Research Staff & Post-doctoral Fellow

Post-doctoral Fellow in the Department of Family Medicine and Primary Care, School of Clinical Medicine (Ref.: 537081) (to commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance)

Applicants should possess a Ph.D. degree in the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should have an excellent command of written and spoken English, and a demonstrated record of publishing academic research papers. They should be organized, self-motivated, and have the ability to multitask and work independently as well as in a team. Experience in large-scale research project management and development, knowledge of statistics and big data analysis would be highly desirable.

The appointee will participate in various pharmacoepidemiology and epidemiological studies to assess the effectiveness and cost-effectiveness of interventions, medication, and health services. They are expected to assist the core project team in planning and coordinating research projects, evaluate territory-wide programs, oversee data collection and analysis, prepare reports and presentations, supervise research assistants, and perform other relevant tasks as assigned. There will be many opportunities to collaborate with research and health professionals to develop a research career in health and health services. If you have any questions about the duties of this post, please contact Prof. Eric Wan at yfwan@hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until August 31, 2026, or until the post is filled, whichever is earlier.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency


The University of Hong Kong

United Kingdom, Belfast

The School of Biological Sciences and Institute for Global Food Security at Queen's University Belfast seek to appoint an exceptional Research Fellow to join the AMR and One Health Lab and Huws Group. The appointee will contribute to interdisciplinary research spanning microbiology, antimicrobial chemotherapy, translational veterinary therapeutics, animal science and bioinformatics.

The successful candidate will work within a multidisciplinary team delivering PUREMILK, a BBSRC Follow-on Fund project focused on combating antimicrobial resistance in bovine mastitis through alternative, non-antibiotic strategies. Working with partners at the Moredun Research Institute and industrial partner RAFT Solutions, the postholder will evaluate the efficacy of novel antimicrobial peptides (AMPs) for treating bovine mastitis and investigate their modes of action in chronic mastitis studies involving dairy cattle.

The postholder will support the planning, coordination and delivery of research activities across the project; therefore, excellent organisational and communication skills are essential. Priority will be given to candidates with expertise in microbiology and bioinformatics experience, particularly in metataxonomic analysis.

Alongside these scientific responsibilities, the appointee will contribute to key commercial milestones by raising the profile of the research through engagement with farmers, scientists and other stakeholders; supporting freedom-to-operate assessments; preparing data for patent applications and submissions to the Veterinary Medicines Directorate; and assisting initial discussions with companies regarding potential licensing opportunities.

This role will be central to translating research into practical solutions that support the sustainability of the dairy industry and advance the BBSRC strategic priority of ensuring that healthy animals and people underpin sustainable agriculture and food systems.

About The Person

The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria:


	Applicants must hold, or be about to be awarded, a PhD in a relevant area, preferably microbiology or with a strong microbiology component.
	Significant relevant research experience, including experience of antimicrobial development and efficacy testing, and demonstrable laboratory experience relevant to microbiology and computational biology, specifically 16S rDNA microbiome, metataxonomic and transcriptomic analysis.
	Experience of computational biology and bioinformatics/programming in appropriate languages and software, such as R, and of designing, developing or refining experimental methodologies to generate reliable and reproducible data. They must be able to analyse, critically evaluate and interpret microbiological, molecular or bioinformatic data using appropriate methods, and maintain detailed and accurate laboratory records, formulation records and experimental documentation.


To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.

This post is available for 24 months or until 31 August 2028 whichever is soonest. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.


Queen's University Belfast

Singapore

Schemes of Service: Research
Division: Food, Chemical and Biotechnology
Employment Type: Fixed Term

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. Carbon capture, utilisation and storage (CCUS) refers to a suite of technologies that capture CO2 emissions from industrial or energy-related sources and either utilise the captured CO2 or transport it to secure geological formations for long-term storage. The Research Engineer will support a project that aims to develop a Singapore-calibrated, risk-aware modelling framework for cross-border CO2 maritime transport. The role will contribute to the development of techno-economic models, uncertainty analysis, machine learning surrogate models, and a prototype web-based calculator. The Research Engineer will work closely with a multidisciplinary project team with expertise in CCUS infrastructure modelling, maritime systems, techno-economic analysis, machine learning, uncertainty quantification, and industry translation.

Key Responsibilities


	Support the research team and students to ensure project milestones and deliverables are met.
	Collect, clean, organise, and analyse data related to CO2 maritime transport, port operations, CO2 liquefaction, storage, vessel logistics, and regional CCUS value chains.
	Build and maintain a parameter registry with data sources, assumptions, parameter ranges, and confidence ratings.
	Develop and validate a bottom-up techno-economic analysis model for CO2 maritime transport.
	Conduct uncertainty analysis, scenario analysis, and sensitivity analysis for Singapore-linked CO2 transport corridors.
	Develop and test machine learning surrogate models for rapid cost screening.
	Prepare technical reports, research documentation, figures, presentations, journal manuscripts, and conference materials.
	Support student projects in data processing, model testing, visualisation, and prototype testing.
	Assist in project coordination, progress reporting, documentation, and research administration.
	Follow SIT requirements on data management, research integrity, intellectual property, cybersecurity, and workplace safety.
	To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
	Any ad-hoc duties assigned by Supervisor.


Job Requirements


	Bachelor’s or Master’s degree in Chemical Engineering, Energy Systems, Data Science, Computer Science, Environmental Engineering, Maritime Engineering, or a related discipline.
	Good programming skills in Python.
	Experience in data analysis, scientific computing, modelling, or software development.
	Knowledge of techno-economic analysis, energy systems, sustainability, CCUS, or maritime transport is preferred.
	Basic knowledge of machine learning, uncertainty analysis, or optimisation is advantageous.
	Experience with web-based tools or dashboards such as Streamlit, Dash, Flask, or Plotly is desirable.
	Good written and verbal communication skills.
	Able to work independently and as part of a multidisciplinary research team.
	Able to manage tasks, meet deadlines, and produce well-documented work.


Key Competencies


	Proficient in Python or equivalent programming languages for data analysis, modelling, and scientific computing.
	Strong foundation in data analytics, numerical modelling, and data-driven decision support.
	Able to collect, organise, evaluate, and document data from multiple technical and public sources.
	Able to develop, test, and validate computational models in a structured and reproducible manner.
	Able to interpret modelling results, identify dominant cost drivers, and communicate uncertainty clearly.
	Able to prepare high-quality technical reports, figures, presentations, and research documentation.
	Able to work independently while maintaining effective communication with the research team and stakeholders.
	Able to build and maintain positive working relationships within and outside the university.
	Self-directed learner with strong initiative, ownership, and commitment to continuous learning.
	Possess strong analytical thinking, problem-solving skills, and attention to research quality.



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