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St Petersburg State University of Telecommunications prof MA Bonch Bruevich

St Petersburg State University of Telecommunications prof MA Bonch Bruevich | World University Rankings | THE

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United Arab Emirates, Abu Dhabi

Description

The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics.

We are seeking a Research Assistant to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include:


	multi-modal learning,
	foundation models, including large language models,
	agentic AI,
	multi-agent AI systems,
	transfer learning,
	self-supervised learning,
	and federated learning.


The Research Assistant will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE.

Key Responsibilities

Research


	Support the supervisor in developing and implementing the research agenda;
	Conduct high-quality and innovative research primarily focused on ML for healthcare;
	Design and implement experiments to compare proposed work with SOTA baselines;
	Publish research findings in high-impact journals and conferences;
	Communicate and present research findings at international academic gatherings;
	Create, maintain, and document high-quality research code for reproducibility;
	Maintain good practice in managing and accessing sensitive medical datasets;
	And collaborate with scientists within the NYU Global Network and in Abu Dhabi.


Minimum Qualifications


	Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution
	Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field
	Demonstrable research experience involving data pre-processing and preparation for machine learning models
	Demonstrable research experience in conducting experiments for training and evaluating deep neural networks
	Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning
	Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
	Ability to use high performance computing cluster
	Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow)
	Experience in maintaining high-quality code on Github
	Experience in running and managing experiments using GPUs
	Ability to visualize experimental results and learning curves
	Effective inter-personal and team-building skills
	Self-motivated with an ability to work independently and in a team to get the work done
	Excellent communication skills (oral and written communication)
	Willingness to learn and confront new challenges


Preferred Qualifications


	Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics
	First-author peer-reviewed published papers (or under review)
	Evidence of leadership and service activities in the academic domain


For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@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. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. 

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 research 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 research 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.

NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.

Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.

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.

@WorkAtNYUAD


New York University Abu Dhabi Corporation

Singapore

Schemes of Service: Research
Division: Health and Social Sciences
Employment Type: Fixed Term

Job Purpose

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.

The primary responsibility of this role is to coordinate all aspects of the intervention and study processes, including recruitment, planning, implementation, liaison with stakeholders, monitoring, data management, outcome evaluation and dissemination activities. This will be a part time role.

Key Responsibilities


	Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
	Undertake these responsibilities in the project: 
	
		i. Coordinate day-to-day study operations, including project timelines, participant scheduling, and study logistics
		ii. Maintain study documentation, recruitment logs, screening records, and project trackers
		iii. Coordinate meetings and communications among investigators, support workers, clinicians, and participants
		iv. Ensure intervention fidelity and adherence to the study protocol
		v. Manage study resources and intervention materials as required
		vi. Assist with participant screening, recruitment, enrolment, and follow-up activities
		vii. Support informed consent procedures in accordance with the study protocol and ethics requirements
		viii. Maintain participant engagement and retention throughout the study
		ix. Conduct participant assessments and administer study outcome measures according to protocol
		x. Support the implementation of home-based exercise interventions
		xi. Provide training, briefings, and ongoing support to support workers to enable the safe and consistent delivery of interventions
		xii. Monitor participant progress and support exercise progression or modification within study guidelines and delegated scope
		xiii. Liaise with support workers to monitor intervention delivery and adherence
		xiv. Monitor and report adverse events or safety concerns in accordance with ethics requirements
		xv. Collect, enter, and manage quantitative and qualitative study data
		xvi. Ensure accurate, timely, and secure data management in compliance with institutional and ethics requirements
		xvii. Support database maintenance, data cleaning, and quality checks
		xviii. Support basic data analysis where required
		xix. Assist with ethics documentation, study reporting, and audit preparation
	
	


Job Requirements


	Have relevant expertise in the rehabilitation of older adults
	Have a degree/diploma in Physiotherapy 
	AHPC Registered Physiotherapist
	Minimum of one year working experience
	Strong organisational and project coordination skills


Key Competencies


	Able to conduct physiotherapy assessment and exercise prescription for older adults
	Able to build and maintain strong working relationships with people within and external to the university
	Proficient in technical writing and presentation
	Possess strong analytical and critical thinking skills
	Show strong initiative and take ownership of work
	Competent in data entry, management, and basic research database use
	Able to troubleshoot and problem solve within study and clinical guidelines



Singapore Institute of Technology (SIT)

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities


	Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
	Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
	Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
	Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
	Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
	Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
	Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
	Assist in training and supporting students or project users in the use of the developed systems and software.
	Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.


Job Requirements


	MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
	Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
	Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
	Experience in experimental work, data collection, and system troubleshooting is desirable.
	Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
	Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
	Ability to work effectively both independently and under the guidance of senior researchers.


Key Competencies


	Technical aptitude and practical problem-solving ability.
	Good programming and data handling skills.
	Careful and systematic approach to experiments, testing, and documentation.
	Attention to detail and commitment to data quality and reproducibility.
	Willingness to learn new technical skills and adapt to evolving project needs.
	Good teamwork and communication skills.
	Ability to manage time effectively and support multiple concurrent project activities. 



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:

Postdoctoral Fellow - Philosophy of Contemporary & Future Science
Department of Philosophy
(Post Ref.: 25/46)

The Department of Philosophy at Lingnan University is one of the best in Asia. Faculty members publish in leading journals in the field, such as Analysis, Australasian Journal of Philosophy, British Journal for the Philosophy of Science, Ethics, Journal of Philosophical Logic, Mind, Noûs, Philosophers’ Imprint, Philosophical Quarterly, Philosophical Studies, Philosophy and Phenomenological Research, and Philosophy of Science. The department has a thriving PhD programme and also hosts several Postdoctoral Fellows/Research Assistant Professors.

More information on the research interests and publications of philosophers at Lingnan University can be found at: https://www.LN.edu.hk/philoso/?page_id=9.

Requirements

Areas of Specialization: Philosophy of Science; Formal Epistemology; AI; or Philosophy of Biology, Chemistry, or Physics

These posts arise in connection with a Senior Research Fellowship on ‘Philosophy of Contemporary and Future Science’ awarded to Professor Darrell Rowbottom, which runs from 2022–2027. Professor Rowbottom is now seeking Two Postdoctoral Fellows to join the project team over the course of one to two years.

Details on the project, which involves scientists working with philosophers, can be found at www.pocfs.org.

We are especially interested in candidates whose work connects with the natural sciences, and especially with recent developments therein (such as increased interdisciplinarity and the involvement of AI). However, we are open to considering other applicants with excellent research records and a clear, well-articulated vision of how they can contribute to the project.

The appointee will work as part of the team headed by Professor Rowbottom. This will involve: (1) carrying out collaborative research (including with scientists); (2) authorship and co-authorship of papers suitable for publication in leading journals; (3) authorship and submission of derivative grant proposals to funding bodies; (4) organizing seminars, reading groups, workshops and other related research activities; (5) teaching courses at undergraduate or postgraduate levels; (6) performing occasional outreach activities (such as lectures aimed at the general public); and (7) managing/updating the project website.

The teaching load will be one or two courses per year, distributed according to the departmental needs. English will be the language of instruction.

Appointment

The minimum annual salary for the posts will be 432,000 HKD (which corresponds to 44,000 GBP and 55,000 USD at current exchange rates). A gratuity of approximately 130,000 HKD will be paid after two years of service. Please note that tax in Hong Kong is exceptionally low; for instance, income tax on the annual salary might be as low as 30,000 HKD. See https://www.ird.gov.hk/eng/ese/st_comp_2022_23/stcfrm.htm for a tax calculator.

Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance (where appropriate).

The appointment start date is flexible. Contract duration is expected to be from one to two years.

Application Procedure (online application only)

Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only.

Informal inquiries concerning the posts can be directed to Professor Rowbottom, at darrellrowbottom@ln.edu.hk.

We are an equal opportunities employer. The review of applications will start and 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

Description

The Center for Brain and Health (CBH) (https://brainandhealth.org/) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The Research Scientist will be a key member of a multidisciplinary team responsible for collection, c, MEG, EEG, and eye tracking. The tentpole of the CBH is a normative brain database - the first of its kind in the region - that includes structural, functional, and diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires

Candidates must hold a Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or equivalent is preferred. This position requires extensive experience with multimodal MRI, including functional and structural MRI and tractography. Experience with big data analysis techniques is essential. Experience working with other large brain databases is preferred. The ideal candidate will possess strong computational skills and a strong publication record. Terms of employment include competitive salary and benefits.

Applications will be accepted immediately. To be considered, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests, three representative publications, and three letters of reference, all in PDF format. For instructions and information on how to apply, please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html. If you have any questions, please email rokers@nyu.edu or kartik.sreenivasan@nyu.edu

The anticipated appointment starting date is May 1, 2026, with funding guaranteed for a term of 18 months and opportunity for renewal of the position for additional years following performance evaluation. The terms of employment include highly competitive salary, housing allowance, and other benefits.

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.

UAE Nationals are encouraged to apply.


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