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Wyzsza Szkola Biznesu - National Louis University in Nowy Sacz

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Singapore

Schemes of Service: Research
Division: Infocomm Technology
Employment Type: Fixed Term

As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important.

Key Responsibilities:


	Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. 
	Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
	Deliver solution-ready demonstration code.
	Interact well within the team and the customers.
	Be self-directed to fulfil the project requirements.


Job Requirements:


	Competence in working with languages such as C along with AI applications as well as Python-based coding .
	Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous.
	Knowledge of machine learning, pytorch, huggingface etc...
	Knowledge of speech, audio, time-series or signal processing is required.
	Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI.
	Experience of authoring good quality academic publications.
	Manage undergraduate research assistants (if appropriate).
	Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China.


Key Competencies:


	A self-directed worker who believes in continuous learning and development
	Proficient in academic writing 
	Possess good critical thinking skills
	Show strong initiative and take ownership of work
	Interest in AI, machine learning, image/audio processing



Singapore Institute of Technology (SIT)

United Kingdom, Liverpool

Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today.

We are seeking an experienced and highly organised Work-based and Placement Learning Senior Administrator to join our Faculty of Health, Innovation, Technology and Science (HITS). This is an exciting opportunity for a proactive professional to play a key role in the delivery, governance and continuous improvement of work-based and placement learning activities across a diverse portfolio of programmes.

As the Senior Administrative Lead within the Work-based and Placement Learning Team, you will provide specialist support for placement and work-based learning activities, ensuring compliance with university regulations, professional body requirements and external reporting obligations.

You will be responsible for overseeing complex administrative processes, supporting placement management systems, coordinating student placement activity and acting as a key point of contact for students, academic colleagues, employers, placement providers and external agencies.

Working closely with the Work-based and Placement Learning Manager, you will contribute to strategic and operational developments, support process improvement initiatives and help ensure an efficient, compliant and student-focused service.

In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies.

This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do.

If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you.

Please note we do not accept supplementary information when considering applications for this post and ask that you complete the on-line application only. Within the application form there is the opportunity for you to include everything that you wish panel members to consider, particularly in the Personal Statement section.

LJMU values diversity and provides a supportive and inclusive environment where everyone can fulfil their potential.

Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.


Liverpool John Moores University (LJMU)

Vietnam

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Mathematical Foundations of Computing Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is an advantage. The successful candidate will become part of an international network of universities and research institutes.

Teaching Responsibilities

In the role of a lecturer, the successful candidate will teach undergraduate courses in the Computer Science (CSE) program and possibly a sibling program dedicated to Artificial Intelligence (AI), as well as graduate courses in the Computer Science (MCS). The expected workload for the in-class lecture conduct is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes).

Teaching should reflect current research methods and results, comprising lectures on two to four modules from the following areas:


	Calculus
	Algebra
	Discrete Mathematics
	Statistics
	Theoretical Computer Science
	Applied Maths for CS
	Mathematical foundations of Machine Learning


The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects.

The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring Ph.D. students.

Research Responsibilities

As a faculty member of a research-oriented university, the successful candidate is expected to significantly contribute to VGU's scientific profile through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in one or several of the following fields: optimization (including lost/cost functions, stochastics), statistics (including Bayes' theorem, sampling, cross-entropy loss), computational complexity & automata theory (including advanced algorithms, formal methods), and foundations of machine learning (including linear algebra and calculus). The ability to apply and generate externally funded research projects is highly desirable.

Administrative responsibilities

The successful candidate is expected to contribute to the development of the Computer Science Program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies.

Qualification

Candidates must hold a Ph.D. in Applied Mathematics, Mathematics, Statistics, Computer Science, Engineering or a closely related field, preferably from a well-known international university. Those in the final stages of their doctoral studies may also be considered, provided they demonstrate exceptional promise. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology.

Other requirements include:


	An outstanding academic record with a focus on derivatives & gradients, linear transformations, lost/cost functions, stochastics, computational complexity, logic, graph theory or other areas closely related to it
	Proven expertise in techniques for descriptive statistics, vectors & matrices and combinatorics
	Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area
	Proven teaching experience with strong self-motivation combined with a passion for teaching and research 
	Experience in industry is of advantage
	Proven excellent English proficiency:


Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1]

Employment benefits

The successful candidate will integrate himself/herself into an initiative on AI research and several interdisciplinary research groups at VGU. He/she enjoys access to state-of-the-art laboratories. VGU is currently acquiring powerful AI servers, workstations and data storage to enable long-term research.

VGU provides institutional research grants of up to 350 million VND per project and offers financial support for faculty to attend national and international conferences and publish their research.

VGU's partnerships with German universities provide lecturers with funding opportunities for research and academic exchange.

VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students.

Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here.

Application

To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Mathematical Foundations of Computing_[Your Name]"

Your application should include:


	Form for basic information (Please download here, complete this form electronically and submit it together with your application)
	A cover letter stating your interest in joining VGU
	Curriculum Vitae (including list of publications)
	Scans of university degrees, university transcripts and other relevant certificates
	Scans of language certificates (if available, highly appreciated)
	References illustrating your professional and academic career, including contact details of references (if available, highly appreciated)
	Evaluation results for teaching (if available)


All applications will be reviewed and evaluated by VGU's international Application Review Team.

For further information, please contact:


	Program Academic Director at rschorr@fb2.fra-uas.de and/or
	Program Academic Coordinator at son.ll@vgu.edu.vn


About us

The Vietnamese-German University (VGU) is a state university in Vietnam. Founded in 2008, VGU is a joint venture based on close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region.

VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures.

As part of VGU's ongoing commitment to gender equity, the university is actively seeking to enhance the representation of women in research and teaching roles. VGU therefore strongly encourages applications from qualified female lecturers who wish to contribute to the academic community.


Vietnamese-German University

Hong Kong

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) 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

Assistant Professor of Teaching
Wu Jieh Yee School of Interdisciplinary Studies
(Post Ref.: 26/199)

The Wu Jieh Yee School of Interdisciplinary Studies (WJYSIS) was established to deepen interdisciplinary studies and scholarly collaboration. The WJYSIS houses a number of interdisciplinary undergraduate programmes and now invites applications for the position of Assistant Professor of Teaching for the Global Development and Sustainability (GDS) programme. The WJYSIS is seeking a dynamic educator committed to fostering excellence through interdisciplinary teaching, while providing robust leadership in the day-to-day management and development of the GDS programme.

The appointee will be responsible for teaching core courses within the GDS programme, employing a comprehensive interdisciplinary approach to sustainable development. Candidates should be experienced in interdisciplinary, active, and project-based pedagogies, fostering an engaging learning environment that bridges theory and practice. All teaching will be conducted in English.

In addition to teaching, the appointee will:


	Engage in robust student advising and mentoring to support academic and professional development.
	Assume the role of Programme Director for GDS, providing leadership in programme management, curriculum enhancement, and strategic development.
	Contribute to departmental service and the continuous improvement of the student experience.


We welcome applications from candidates with expertise in fields related to global development and sustainability, including but not limited to human geography, environmental policy, sustainability economics, green urban design, humanitarian technology, climate change and public health, ecocultural tourism, biocultural diversity, community resilience, ESG and CSR. Priority will be given to candidates with interdisciplinary expertise.

Requirements

Candidates should have (i) a doctoral degree in relevant disciplines; and (ii) a minimum of 3 years’ experience in teaching relevant courses and relevant programme administrative experience.

Appointment

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.

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

United Kingdom, Durham

The School of Education is one of the very best UK Education departments with an outstanding reputation for excellence in teaching and research. We were ranked 2nd for Outstanding Research in Education and 1st for Impact and Outputs in the most recent Research Excellence Framework (REF 2021), ranked 2nd in the Complete University Guide 2026 and have a top 100 ranking in the QS World University Rankings by subject 2026.

Guiding the School of Education's research activity is our vision of a more equitable world in which education, informed by innovative high-quality research, plays a vital role in enabling individuals, communities and societies to flourish. To this end, our research and impact strategy enables us to undertake research that: 1) positively impacts on regional, national and global policy and practice; and 2) shapes and develops educational research, research methodology and research capacity in the UK and internationally.

This role would be research only, working on an externally funded research project with a team of evaluation, early years and literacy development experts. The School of Education supports hybrid working and flexible working if required.


Durham University

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