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MIT Art, Design and Technology University

MIT Art, Design and Technology University (MIT-ADT University) was established under the MIT Art, Design & Technology University Act of 2015, and began academic operations in 2016. It is part of the renowned MIT Group of Institutions, founded by Prof. Dr Vishwanath D. Karad under the MAEER trust.
The Rajbaug campus, located in Loni Kalbhor on the outskirts of Pune, a city in the western Indian state of Maharashtra, is the university’s main campus. It stretches over 100 acres and is situated along the banks of the Mutha River. 
Academically, MIT-ADT University comprises 17 schools, including the MIT Institute of Design, the School of Engineering, the School of Management, the Institute of Fine Art and Applied Art, schools of Film and Television, Architecture, Drama, and Food Technology, as well as the School of Corporate Innovation and Leadership, among others. 
Across these, it offers a diverse range of programmes including approximately 30 undergraduate and 70 postgraduate courses, addressing areas from design and technology to performing arts, engineering, media, and broadcasting. 
Its Incubation Centre fosters start-up ideas and supports students in product development, while finishing schools and industry-linked programmes improve employability. 

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Vietnam

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Computer Science and Machine Learning. 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 of 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 graduate courses in the Master's program in Computer Science (MCS) and undergraduate courses in the Bachelor's program in Computer Science (CSE). The expected workload for the in-class lecture conduction 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, and comprises lectures on the following modules:


	Introduction to Computer Science
	Introduction to Data Science and Artificial Intelligence
	Current Topics in Computer Science
	Statistics
	Elective modules related to 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 PhD students.

Research Responsibilities

We expect the successful candidate, as a research-oriented university faculty member, 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 the fields of pattern recognition, machine learning (including generative models and neural network architectures), and natural language processing (including large language models). 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 Computer Science or a closely related field, preferably from a well-known international university. 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 machine learning, computer vision, natural language processing, pattern recognition or other areas closely related to it
	Proven expertise in techniques for natural language processing and pattern recognition
	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 "Computer Science and Machine Learning_[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 Vietnamese state university. Founded in 2008, VGU is a joint venture based on a 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

Singapore

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.

This position offers an exciting opportunity to work on applied research projects in partnership with a local SME, contributing to innovative solutions in food and chemical engineering. This is a fixed term contract position.

Job Responsibilities 


	Support research and development activities in waste recycling, pyrolysis reactor, in the area of chemical engineering, thermal systems, and mechanical engineering. 
	Conduct design and improvement of the existing pyrolysis system,
	Perform experiments, data analysis, and technical reporting. 
	Collaborate with academic staff, industry partners, and project stakeholders to achieve project objectives. 
	Ensure compliance with safety and quality standards in all research activities. 
	T'o communicate with any relevant stakeholders to ensure project can be completed.
	Any other ad-hoc duties assigned.


Expected qualities: 


	Serve as the process lead engineer in both design, engineering and testing of Pyrolysis Reactor Systems 
	Involve in developing the process control narrative 
	To generate project specifications, design philosophy, PFDs, P&IDs, calculations, operation manuals to comply with clients’ requirement 
	To carry out process simulations and develop heat and material balances 
	To carry out hydraulic design for pumps, compressors, blowers and develop respective process datasheets 
	To check design outputs, datasheets and drawings to ensure accuracy and completeness to design requirements and concepts 
	Involve in sizing the process instrument, pump and control philosophy 
	Experience in downstream gas cleaning processes with real experiences operating a plant 
	Knowledge in tar/PAH removal and separation 
	Prepare and deliver various engineering related presentations, both internally and externally 
	Support the R&D Team 
	Knowledge in skid module base and PLCs programming will be highly preferred 
	Possess good Solid-works skillset and/or ASPEN HYSYS/3D simulations expertise 
	Sound knowledge in applying AI into system applications 


Job Requirements


	Bachelor’s degree in Engineering (Chemical, Thermal, Mechanical, Environmental or related disciplines). 
	Work experience in similar industries.
	Prior experience in waste recycling, pyrolysis, production of activated carbon, heat transfer, process design, process control would be an advantage.


Key Competencies


	Exhibit strong leadership skills
	Self-motivated with the ability to multitask and thrive in a timeline driven environment
	Excellent interpersonal skills, attention to details and result driven
	Good presentation and communication skills (verbal and written)



Singapore Institute of Technology (SIT)

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.

About the project:

Difficulties in swallowing or chewing affect millions worldwide, especially amongst the elderly. We have recently been awarded a research project to develop transitional foods which can make a positive impact on the quality of life for those with swallowing difficulties. The project includes two new research positions that will work closely together with each other and with the multidisciplinary team of project investigators. We invite outstanding and talented candidates who are passionate about foods and have a strong desire to develop or enhance their R&D competencies to apply for these positions.

The primary role of this position is in the area of sensory characterization, food product formulation and production, oral processing characterization and conduct of surveys. The position requires a strong background in food chemistry, food product development, colloidal science, sensory science as well as survey research.

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 key responsibilities in the project:
	i. Design, conduct and analyse survey amongst Speech and Language Therapists in Singapore
	ii. Develop food products with transitional behaviour
	iii. Conduct sensory tests of food products, including in-mouth characteristics
	Document, publish and present research findings
	Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
	Coordinate procurement and liaison with vendors/suppliers.


Job Requirements


	A Degree in food Science or related area
	Passion for developing and analysing the behaviour of foods
	Evidence of strong knowledge and interest in food chemistry, applications of hydrocolloids and proteins, emulsions and sensory evaluation
	Evidence of ability to lead, manage and perform research independently as well as in a group


Key Competencies:


	Strong experimentation skills and theoretical knowledge in food science and technology.
	Able to work independently as well as to maintain strong working relationships with people within and external to the university.
	Show strong initiative and sense of responsibility
	Proficient in technical writing and presentation
	Possess a high degree of self motivation and curiosity in technical pursuits, with the ability to develop original ideas
	Possess a desire to develop new engineering solutions to help the society



$99,162 - $102,178 per year based on skills, knowledge experience

New Zealand, Hamilton


	Shape impactful learning grounded in Māori and Indigenous knowledge
	Supportive, collegial faculty committed to cultural leadership and innovative teaching
	Opportunities to build meaningful partnerships with whānau, hapū, iwi and communities


Ngā kōrero mō te tūranga - About the role

You will contribute to the teaching, postgraduate supervision, and administration requirements of the Faculty, maintain and develop original scholarship and research, and undertake professional, community, iwi service and activities relevant to the profession and discipline of Māori and Indigenous Studies. Ideally, your research area supports your teaching expertise, and vice versa.

Salary will be in the range of $99,162 - $102,178 per year, based on the skills, knowledge, experience, and qualifications brought to the position. This is a full-time, permanent role (37.5 hours a week) based at our Hillcrest Campus.

For more information on the role please see the position description here: Lecturer M&I. For a confidential conversation about the role, please contact Ahorangi Tangiwai Rewi at tangiwai.rewi@waikato.ac.nz. All applications must be submitted through the online portal - emailed applications will not be accepted.

Ko wai koe? - Who are you?

If you have a passion for teaching and nurturing students on their education pathways, then this is the position for you! Your friendly but professional personality will shine as you engage with students, sharing your knowledge, experiences, and innovations to make their learning experiences fun and enjoyable.

You are an excellent communicator and preferably have proficiency in te reo Māori me ōna tikanga. You will be experienced in building and maintaining relationships with others as an effective team member who happily contributes to collective activities and is confident to lead when required.

You are flexible and able to adapt to 'life is like a box of chocolates' situations on a daily basis. You will have strong computer skills and sound knowledge of Microsoft Office. Previous experience working with students in a tertiary environment would be advantageous.

Ko wai mātou? - Who are we?

Te Pua Wānanga ki te Ao, the Faculty of Māori and Indigenous Studies, exists as a faculty in its own right. It offers a wide range of exciting programmes that build on tradition while responding to contemporary issues, using innovative, creative, and adaptable teaching underpinned by strong intellectual engagement and research expertise. Academic staff are respected leaders in their fields, holding iwi/Māori, national, and international profiles.

Te Pua Wānanga ki te Ao currently offers majors in Te Reo Māori and Māori and Indigenous Studies, with a minor in Pacific and Indigenous Studies. We offer papers that lead towards the Bachelor of Arts, Bachelor of Climate Change, and the Bachelor of Social Sciences. The Faculty also offers the Bachelor of Arts with Honours, Master of Arts, Master of Social Sciences, PhD programmes, as well as other certificates and diplomas.

He aha ngā take me tono mai ai koe? - Why should you apply for this position?

We want you to be part of our success! Our University stands proudly on the world stage as a provider of future-focused, international education and an active contributor to global research. Our rankings reflect these strengths. Working with us means you’ll enjoy a satisfying work environment with many benefits.

The University of Waikato is distinctive for the diversity of its staff and students and encourages applicants with the relevant capabilities from all backgrounds to apply. Applicants must have the legal right to live and work in NZ in accordance with NZ Immigration regulations which can be found here.

Ko te Tangata - For the People

The University of Waikato prides itself on the quality of its engagement with the communities it serves, the provision of a world-class education, and the national and international impact of its research. Our policies are guided by the principles of the Treaty of Waitangi and equal opportunity for all.

E herea ana te Whare Wānanga ki te kaupapa kia whakaratohia te mea angitū ōrite ki ngā tāngata katoa.

Applications close on Friday, 23 January 2026

Requisition Number: 1003202


University of Waikato, Hamilton

United Arab Emirates, Abu Dhabi

Description

The Division of Engineering at New York University Abu Dhabi (NYUAD) invites applications for an open-rank (Assistant, Associate, or Full), tenured, or tenure-track faculty position in the Computer Engineering program. We seek candidates with a research focus on the theoretical foundations and practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data-efficient machine learning, approximate inference, statistical machine learning, continual learning, distributed machine learning, and the security and privacy aspects of machine learning. These areas have applications in various fields, such as healthcare, finance, transportation, education, and entertainment.

The successful candidate will have a strong record of research excellence, demonstrated through high-impact publications, and a clear potential to lead a successful research program. In addition to research, candidates should demonstrate excellent teaching skills or potential in the core and advanced subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as well as contributing to curriculum development.

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.

Qualifications

PhD in Computer Engineering, Computer Science, or related field. 

Application Instructions

To apply for this position, please submit the following items:


	Curriculum Vitae (CV)
	Cover Letter
	Teaching Statement
	Research Statement
	Recent teaching evaluations (if available)
	Names and email addresses of 3 references (each will be contacted to upload their reference via Interfolio). Senior candidates may delay having references sent until they know if they are finalists


We will review applications on a rolling basis and continue until the position is filled. We anticipate that successful candidates will start their appointments and relocate to Abu Dhabi in the academic year 2026-2027.

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.

For questions about this position, please email nyuad.academicrecruitment@nyu.edu.

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

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Business and Economics: Economics & Econometrics

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Education: Education

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Engineering: Mechanical and Aerospace Engineering

Law: Law

Life sciences: Biological Sciences

Physical sciences: Mathematics & Statistics

Psychology: Psychology

See below for a range of subjects taught at MIT Art, Design and Technology University

Subjects Taught at MIT Art, Design and Technology University

MIT Art, Design and Technology University

About MIT Art, Design and Technology University

Impact Rankings

Clean Water and Sanitation 2025
601-800^th

Affordable and Clean Energy 2025
801-1000^th

Reduced Inequalities 2025
1001+

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Subjects Taught at MIT Art, Design and Technology University

Arts and Humanities

Business and Economics

Computer Science

Education Studies

Engineering

Law

Life Sciences

Physical Sciences

Psychology

Company

Legal

MIT Art, Design and Technology University

About MIT Art, Design and Technology University

Impact Rankings

Affordable and Clean Energy 2025801-1000th

Reduced Inequalities 20251001+

Discover similar universities

Subjects Taught at MIT Art, Design and Technology University

Arts and Humanities

Business and Economics

Computer Science

Education Studies

Engineering

Law

Life Sciences

Physical Sciences

Psychology

Affordable and Clean Energy 2025
801-1000^th

Reduced Inequalities 2025
1001+