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Bina Darma University

Universitas Bina Darma or Bina Darma University is a private higher education institution located in Palembang, South Sumatra, Indonesia. 
The university was established in 1972, and offers a wide range of undergraduate and postgraduate programmes across various fields, including engineering, economics, social sciences, information technology, and health sciences.
The university is made up of four campuses with amenities lika a business and psychology labopratory, and engineering laboratory,  sports facilities and libraries. The university also offers extracurricular activities, including sports, cultural events, and community service initiatives. 
The university has formed collaborations with universities and professional institutions such as NIIT (India), Johanes Kepler University (Austria), and Universiti Industri Selangor (Malaysia).

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Clean Water and Sanitation

Affordable and Clean Energy

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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

Singapore

Schemes of Service: Research
Division: Professional Officers
Employment Type: Fixed Term

Job Purpose: 

The Research Engineer will support applied research and innovation in environmental sustainability, working with internal teams and industry partners to develop practical solutions. The role focuses on translating scientific concepts into scalable solutions that address challenges in meeting environmental sustainability target through resource efficiency, waste management, and other sustainable solutions for various industries.

Research engineers will collaborate closely with faculty, professional officers and industry partners to execute commercially viable solutions that address real-world challenges. In the process, research engineers gain valuable applied research capabilities aligned with evolving industry needs.

Key Responsibilities:

Applied Research & Development


	Conduct reviews on sustainability literature, frameworks and assessment tools for both generic industry-wide and industry-specific applications, such as life cycle analysis (LCA), environmental impact assessments, energy analysis and resource optimization studies
	Develop sustainability solution road mapping and development framework to supports identification and follow-through of sustainability solutions for organizational green transition.
	Support development of sustainability solutions and applications to implement organizational green transition through project execution (experimentation, data collection, analysis and evaluation) including includes but not limited to carbon management, circular economy, renewable energy, and sustainable materials.


Industry Collaboration


	Support collaborations with industry partners to understand problem statements and contribute to solution development
	Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners)
	Participate in industry meetings, discussions, and project engagements


Project Execution & Support


	Assist in planning and executing projects to ensure timely delivery of outcomes
	Generate technical reports, presentations, and documentation on the development of sustainability solutions and applications
	Contribute to grant proposals and project submissions where required


Track project progress and maintain proper documentation of activities

Job Requirements: 


	Bachelor’s degree with 5+ year experience OR Master’s degree with 2+ year experience in Environmental Science, Environmental Engineering, Engineering with sustainability training, or a related field or related disciplines with relevant experience in research, engineering, product development or sustainability related work.
	Possess understanding of sustainability concepts (e.g., LCA, carbon foot printing, resource efficiency)
	Strong analytical skills and attention to detail.
	Excellent written and verbal communication skills.


Resourceful, meticulous and problem-solving attitude.

Key competencies:


	Possess understanding of sustainability challenges faced by industries locally and globally
	Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders
	Ability to work collaboratively in a cross-functional and multidisciplinary environment.
	Proactive approach to continuous learning and development in the sustainability field.
	Proficient in technical writing and presentation
	Possess good analytical and critical thinking skills
	Shows good initiative and takes ownership of work undertaken


Project management skills, including planning and execution of sustainability projects.


Singapore Institute of Technology (SIT)

Schemes of Service: Research
Division: Professional Officers
Employment Type: Fixed Term

Job Purpose:

The Research Engineer will support applied research and innovation in environmental sustainability, working with internal teams and industry partners to develop practical solutions. The role focuses on translating scientific concepts into scalable solutions that address challenges in meeting environmental sustainability target through resource efficiency, waste management, and other sustainable solutions for various industries.

Research engineers will collaborate closely with faculty, professional officers and industry partners to execute commercially viable solutions that address real-world challenges. In the process, research engineers gain valuable applied research capabilities aligned with evolving industry needs.

Key Responsibilities:

Applied Research & Development


	Develop tools and platform for environmental sustainability database for both generic industry-wide and industry-specific applications, such as life cycle analysis (LCA), environmental impact assessments, energy analysis and resource optimization studies
	Perform data analysis and generate results for sustainability assessment, solutions development to meet sustainability project deliverables.
	Support development of sustainability solution road mapping and development framework to support identification and follow-through of sustainability solutions for organizational green transition


Industry Collaboration


	Support collaborations with industry partners to understand problem statements and contribute to solution development



	Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners)
	Participate in industry meetings, discussions, and project engagements


Project Execution & Support


	Assist in planning and executing projects to ensure timely delivery of outcomes
	Generate technical reports, presentations, and documentation on the development of sustainability solutions and applications
	Contribute to grant proposals and project submissions where required
	Track project progress and maintain proper documentation of activities


Job Requirements:


	Bachelor’s degree with 5+ year experience OR Master’s degree with 2+ year experience in Applied Statistics, Applied Mathematics, Data Science, Computer Science or a related field or related disciplines with relevant experience in research, engineering, product development or sustainability related work.
	Strong programming skills in Python for data analysis, modelling, and decision‑support tool development; proficient in SQL for data querying and transformation
	Possess understanding of sustainability concepts (e.g., LCA, carbon foot printing, resource efficiency)
	Strong analytical skills and attention to detail.
	Excellent written and verbal communication skills.


Key competencies:


	Possess understanding of sustainability challenges faced by industries locally and globally
	Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders
	Ability to work collaboratively in a cross-functional and multidisciplinary environment.
	Proactive approach to continuous learning and development in the sustainability field.
	Proficient in technical writing and presentation
	Possess good analytical and critical thinking skills
	Shows good initiative and takes ownership of work undertaken



Hong Kong

Ref.: 536640
Work type: Full-time
Department: Department of Psychology (30200)
Categories: Senior Research Staff & Post-doctoral Fellow

We now invite applications for the captioned post.

Duties and Responsibilities

The appointee will be responsible for the research and implementation of a large-scale mental health and well-being project for primary schools in Hong Kong under the Department of Psychology, Faculty of Social Sciences. Major tasks include:


	Devising and designing research studies and evaluation frameworks.
	Implementing research activities and programme evaluation.
	Collecting and analysing data.
	Preparing technical research reports.
	Coordinating a team of research staff and interns.
	Performing administrative tasks supporting the research-cum-intervention project.
	Any other duties as assigned.


Requirements

The appointee should possess:


	A Ph.D. or MPhil degree in Psychology, Social Sciences, or a related discipline.
	A good command of written and spoken English and Chinese.
	Strong research skills in Psychology or Social Sciences.
	Proficiency in advanced statistical software (e.g., R, Stata, or Python), as well as MS Excel and Chinese typing.
	Experience in the implementation of community or educational research projects will be an advantage.
	Proven ability to supervise junior researchers and research assistants.
	Demonstrated leadership in managing and coordinating a research team to achieve project objectives.


What We Offer

The appointment will commence in September 2026, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary for Assistant Research Officer and 15% for Research Officer, with the possibility of renewal subject to satisfactory performance and funding availability.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The appointment (at the rank of Research Officer or Assistant Research Officer) will be offered based on the qualifications and experience of the applicant.

How to Apply

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 31 July, 2026, or until the post is filled, whichever is earlier.


The University of Hong Kong

United Arab Emirates, Abu Dhabi

Location

Abu Dhabi, UAE

Description

The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking a highly motivated Postdoctoral Research Associate to join a cutting-edge interdisciplinary project. In this role, you will deeply understand the physics and operation of cryogenic scanning transmission electron (cryoSTEM) microscopes, and apply this understanding to design the architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM datasets in the multi-terabyte range. This position plays a pivotal role in supporting ongoing, high-impact research programs within our lab.

The successful candidate will be working under the joint guidance of two experts in computational microscopy and machine learning systems, blending expertise in advanced bioimage informatics and parallel computing:


	Dr. Min Xu – Affiliated Associate Professor of Computer Vision, MBZUAI & Associate Professor, Carnegie Mellon University. Dr. Xu directs a dynamic research laboratory focused on computational biology, bioimage informatics, and structural biology. His core scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET).
	Dr. Qirong Ho – Assistant Professor of Machine Learning and Computer Science, MBZUAI. Dr. Ho specializes in distributed machine learning and systems architecture. His expertise drives the design of robust, parallelized systems required to scale massive biomedical imaging models efficiently over distributed GPU environments.


Key Responsibilities


	Understand CryoSTEM Microscopy: Become deeply familiar with the physics and operation of state-of-the-art cryoSTEM microscopes.
	Design Foundation Models: Create new model architectures for cryoSTEM data, which will be informed by the strengths and limitations of cryoSTEM microscopes and their data pipeline. These foundation models will be used to improve the operation of cryoSTEM microscopes when applied to biological samples.
	Parallel Model Training: Deploy parallel computing systems for training large-scale cryoSTEM foundation models.
	Project Leadership: Manage complex research sub-projects and ensure research milestones are met.
	Mentorship: Guide and mentor graduate students and junior researchers within the lab.
	Academic Output: Author high-impact publications and produce other key deliverables to share findings with the broader scientific community.


Mohamed bin Zayed University of Artificial Intelligence(MBZUAI) is a world-leading university dedicated to advancing AI as a global force for good. The UAE’s visionary leaders established MBZUAI to educate and develop top talent, conduct advanced research, foster an innovation ecosystem, and act as a strategic think tank for the public and private sectors.

The University attracts world-class thinkers and doers in computer science, AI, bioscience, humanities and beyond. Our groundbreaking academic research initiatives are working on developing future solutions that will impact the world and change the way we imagine things.

Why Join MBZUAI?


	Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
	Exceptional Benefits:
	
		Comprehensive health & life insurance
		Relocation support for international hires
	
	
	Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
	Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers


Qualifications

This position requires a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Biomedical Imaging, Computational Biology, or a closely related field.


	Research Record: A strong, established track record of publications in computational microscopy, computer vision, or parallel machine learning
	Adaptability: A demonstrated, strong willingness to learn and bridge the gap into complementary domains required by this project (computational microscopy, computer vision or parallel ML).
	Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular emphasis on electron microscopy (EM) data.
	Communication: Excellent analytical, oral, and written communication skills.


Application Instructions

To apply for this position, please submit the following items:


	A comprehensive CV, including a complete list of publications.A research proposal based on the following microscopy publication: Shadow montage and cone-beam reconstruction in 4D-STEM tomography. Microscopy and Microanalysis. 2026.
	Contact information for three professional references.
	Name and contact details for three referees (Referees will be contacted during the recruitment process to upload their reference letter via Interfolio)



Bina Darma University

About Bina Darma University

Sustainability Impact Ratings

Impact Rankings 2025
1501+

No Poverty 2025
801-1000^th

Zero Hunger 2025
801+

Good Health and Wellbeing 2025
1501+

Quality Education 2025
1001-1500^th

Gender Equality 2025
1001-1500^th

Clean Water and Sanitation 2025
1001+

Affordable and Clean Energy 2025
1001+

Decent Work and Economic Growth 2025
1001+

Industry, Innovation and Infrastructure 2025
601-800^th

Reduced Inequalities 2025
1001+

Sustainable Cities and Communities 2025
1001+

Climate Action 2025
1001+

Life below Water 2025
601+

Life on Land 2025
601-800^th

Peace, Justice and Strong Institutions 2025
1001+

Partnership for the Goals 2025
1501+

Discover similar universities

Jobs you might be interested in

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Bina Darma University

About Bina Darma University

Sustainability Impact Ratings

No Poverty 2025801-1000th

Zero Hunger 2025801+

Good Health and Wellbeing 20251501+

Quality Education 20251001-1500th

Gender Equality 20251001-1500th

Clean Water and Sanitation 20251001+

Affordable and Clean Energy 20251001+

Decent Work and Economic Growth 20251001+

Industry, Innovation and Infrastructure 2025601-800th

Reduced Inequalities 20251001+

Sustainable Cities and Communities 20251001+

Climate Action 20251001+

Life below Water 2025601+

Life on Land 2025601-800th

Peace, Justice and Strong Institutions 20251001+

Partnership for the Goals 20251501+

Discover similar universities

Jobs you might be interested in

No Poverty 2025
801-1000^th

Zero Hunger 2025
801+

Good Health and Wellbeing 2025
1501+

Quality Education 2025
1001-1500^th

Gender Equality 2025
1001-1500^th

Clean Water and Sanitation 2025
1001+

Affordable and Clean Energy 2025
1001+

Decent Work and Economic Growth 2025
1001+

Industry, Innovation and Infrastructure 2025
601-800^th

Reduced Inequalities 2025
1001+

Sustainable Cities and Communities 2025
1001+

Climate Action 2025
1001+

Life below Water 2025
601+

Life on Land 2025
601-800^th

Peace, Justice and Strong Institutions 2025
1001+

Partnership for the Goals 2025
1501+