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Military Institute of Science and Technology (MIST)

Ranked
Dhaka, Bangladesh
1501+ in World University Rankings 2026
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About Military Institute of Science and Technology (MIST)

Basic information and contact details for Military Institute of Science and Technology (MIST)

institution

The Military Institute of Science and Technology (MIST) is a public engineering institute in Dhaka, Bangladesh’s capital. It was established in 1998 by the government as an engineering and technological research institution under the Ministry of Defence. It first admitted non-military students in 2003, and now more than 85 per cent of its students are civilians. 

The current enrolment is about 2,500 undergraduates and 600 postgraduates. Teaching is provided by some 350 faculty members. The ratio of students to faculty is 8:1.

MIST is organised into 12 departments under four faculties. It offers programmes in: civil engineering; computer science and engineering; electrical, electronic and communication engineering; industrial production and engineering; mechanical engineering; aeronautical engineering; naval architecture and marine engineering; environmental, water resources and coastal engineering; nuclear science and engineering; biomedical engineering; architecture; and petroleum and mining engineering. 

MIST accepts international students; its current intake includes students from Sri Lanka, Nepal, the Maldives, Palestine, Liberia, South Sudan and Gambia.

The institute has academic affiliations with universities worldwide, and it has collaborations and partnerships with many domestic commercial operations.

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Key Student Statistics

A breakdown of student statistics at Military Institute of Science and Technology (MIST)

gender ratio
Student gender ratio
27 F : 73 M (1)
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International student percentage
0% (1)
student per staff
Students per staff
18.2 (1)
student
Student total
3001 (1)

Based on data collected for the (1) World University Rankings 2026

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Professional Officer (All Levels) (Mechanical Systems)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs. Job Requirements A good degree in Mechanical Engineering or a related field. Masters, PhD and/or relevant professional certifications like registered PE would be advantageous. Deep technical specialist with 10 or more years of working experience in mechanical design, systems design and integration or related area in mechatronics would be preferred. Experience in following areas are highly desirable: Complex Mechanical systems development and integration Material and components selection including working knowledge with integration and selection of components/systems such as actuators, pumps, hydraulics system, PLC/Controls systems CAD software such as SolidWorks Simulation such as Finite element and CFD simulation Hands-on prototyping and fabrication skills to guide students in labs It will be advantageous with working knowledge of Material testing and material properties Programming of Control and PLC systems Software such as Ansys and Abaqus Extensive hands-on experience and knowledge of industry practices and engineering principles to bring industry perspective to SIT. Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

Salary

Competitive

Posted

30 Mar 2026

Tenure-Track Assistant Professor in AI in Medicine and Digital Health

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534726 Work type: Full-time Department: Li Ka Shing Faculty of Medicine (20000) Categories: Professoriate Staff Applications are invited for joint appointments as Tenure-Track Assistant Professor (several posts) in AI in Medicine and Digital Health under the LKS Faculty of Medicine (HKUMed) and the School of Computing and Data Science (Ref.: 534726), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second three-year fixed-term contract. We are seeking outstanding interdisciplinary scholars with a focus on artificial intelligence (AI), digital health, medical data science, computational medicine, and bioinformatics with capability in developing innovative research, teaching, and technology transfer programmes that bridge AI and medicine/healthcare. The appointees will be jointly hosted in a relevant School/Department within HKUMed and the School of Computing and Data Science. Applicants should possess: (i) a Ph.D. degree or equivalent in a related discipline; (ii) evidence of regional/international recognition and a strong record of scholarship with a demonstrated ability to work across disciplines towards new research initiatives; (iii) a strong commitment to engaging students in inquiry-based learning at both undergraduate and postgraduate levels; and (iv) a strong track record of high-quality research as indicated by publication records and external grants. Depending on the strategic priorities of the hosting departments, appointees are expected to conduct independent and collaborative scholarly research and attract competitive grants to maintain active research programmes; take part in teaching undergraduate and postgraduate programmes; supervise research postgraduate students; and perform administrative duties. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointments will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. A start-up package that is commensurate with the needs and experience of the appointee will be provided. Housing benefits will also be provided as applicable. The University only accepts online applications for the above posts. Applicants should apply online at the University's career site (http://jobs.hku.hk), and upload an up-to-date C.V. including contact details for three referees, a one-paragraph bio sketch and a summary of four most significant publications highlighting specific contributions to each on a single A4 page, and statements of research and teaching interests. Review of applications will start from May 27, 2026 and continue until September 27, 2026, or until the posts are filled, whichever is earlier.

Salary

Competitive salary

Posted

30 Mar 2026

Archivist, Australian Data Archive

AUSTRALIAN NATIONAL UNIVERSITY (ANU)

The Australian National University

Australia, Canberra

institution

The Australian National University

Australia, Canberra


Classification: ANU Officer 6/7 (Administration) Salary package: $98,387 - $113,252 per annum plus 17% superannuation (pro rata) Terms: Part time (30 hours per week), Continuing Position Description and Selection Criteria: PD&PEWER_ANUO67_Archivist.pdf Operational Leadership: Manage engagement with data providers and users, acting as the primary authority for complex archival and access enquiries escalated by the archive team. Drive Archival Excellence: Lead the curation and preparation of high-impact research data, including the implementation of data governance frameworks and digital product coordination. Team Mentorship: Oversee daily archival and user-support workflows and knowledge-base develoment, providing guidance and mentorship to operational staff and interns. Strategic Impact: Work closely with the Director to develop ADA procedures and contribute to national and international archival standards. Global & National Collaboration: Partner with stakeholders across ANU (First Nations Portfolio, CASS Digital Hub), national research data initiatives (ARDC, NCI), and international projects (Harvard Dataverse, Local Contexts, and our global network of national data repositories). Position Overview We are looking for a proactive and experienced professional to take on the role of Archivist at the Australian Data Archive (ADA), hosted by POLIS: The Centre for Social Policy Research at ANU. In this role, you will navigate the critical intersection of data reuse and privacy protection, making authoritative decisions that enable research impact while safeguarding confidentiality. This is an exceptional opportunity to move beyond routine archival duties and data processing and take ownership of the operational direction of a leading national research infrastructure. Working under the general direction of the Director, you will manage the complex relationships between data providers and users, ensuring that Australia’s social science research data is preserved, accessible, and governed to the highest standards. In this role, you will be a technical leader and a mentor. You will lead the implementation of evolving data governance frameworks to ensure our repository remains at the cutting edge of ethical archival practice. You will also play a key role in the continuous improvement of our digital systems, overseeing support workflows and service metrics to maintain a high-quality experience for the research community. You will work with a diverse range of key partners from the First Nations Portfolio at ANU to the Harvard Dataverse Project to drive best-practice in data curation. Ideal for a candidate who thrives on autonomy and technical challenge, this position allows you to drive archival projects from inception to completion. You will contribute to the development of our information systems, produce technical reports, and help shape the future of ADA’s policies and procedures. The Centre The Australian Data Archive (ADA) is Australia’s national social science data repository and a leader in global data science. The ADA is based in POLIS: The Centre for Social Policy Research which is designed to provide a designated space at the ANU for discussion, debate and research on the formulation of social policy. The Centre provides research and expertise on social policy in response to community and federal and state/territory government needs and requirements. POLIS delivers exceptionally robust data and evidence driven insights into the key challenges facing contemporary Australia. This provides the foundational cornerstones of informed social policy development amongst leading stakeholders within our modern policy landscape: government, community groups, business representatives, and educators. The College The ANU College of Arts and Social Sciences (CASS) is one of six Colleges at ANU. The College, which is structured into two main research schools, offers degrees in more than 20 discipline areas and excels in research across the creative arts, humanities and social sciences. The College has a substantial international research presence and is a major source of national policy advice. Our academic staff are internationally recognised for their research, and 57 are members of the Australian Academy of the Humanities, the Academy of the Social Sciences of Australia, or both. We also host 13 Australian Research Council Future Fellows and three ARC Laureates. A hub of vibrant activity, we host more than 270 lectures, concerts and exhibitions each year, most of which are open to the public. Our students, staff and graduates come from more than 60 nations, bringing a diversity of perspective to campus life. For more information about the position please contact Dr Ryan Perry at: Ryan.Perry@anu.edu.au The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion  Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. CLOSING DATE: Tuesday 14 April 2026 11.55pm (Canberra time)

Salary

$98,387 - $113,252 per annum plus 17% superannuation (pro rata)

Posted

30 Mar 2026

Research Assistant (Bacterial Evolution)

QUEENS UNIVERSITY BELFAST

Queen's University Belfast

United Kingdom, Belfast

institution

Queen's University Belfast

United Kingdom, Belfast


We are seeking to appoint a Research Assistant in Bacterial Evolution to join the UKRI FLF-funded research group of Dr Rachel Wheatley, based in the School of Biological Sciences at Queen's University Belfast. Species interactions are a fundamental comonent of bacterial infections. Yet, when, and how these interactions impact the response of a bacterial pathogen to antibiotics is currently not clear. The appointee for this position will: (1) conduct research into how microbial interactions impact antibiotic resistance in bacterial pathogens, and (2) assist in the general running of the research laboratory, with tasks such as lab ordering, autoclaving, and supporting team members with experiments. The successful candidate will be involved in conducting experiments to investigate how antibiotic resistance mutations impact bacterial virulence in a Galleria mellonella model, and experiments to investigate how antibiotic resistance evolves in microbial communities. They will support running of the research laboratory via tasks such as consumable ordering, lab meeting schedules, and supporting team members with experiments. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Hold a Degree in a relevant area (e.g. biological sciences, microbiology, molecular biology, biochemistry). Specific, relevant and demonstratable research experience in experimental lab work. Experience in working with microorganisms. Experience of statistical analyses and appropriate software e.g. R and R Studio. Experience of working in a team. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information. This is a fixed term post for 30 months.Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding. What we offer: Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website. Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality, Diversity and Inclusion, please visit our website. If you are an international applicant and don't already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application.

Salary

£35,136 per annum

Posted

30 Mar 2026

Research Engineer (Applied AI Research in Visual Generation Models, Agentic AI) (XBJ)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


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 deliver on an industry innovation research project where you will be part of the research team to conduct applied AI research in visual generation models, agentic AI, focusing on applications in creative content generation.  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: Conduct applied AI research in visual generation models, agentic AI. Collaborate with industry partners to develop AI solutions to address real-world problems. Develop and maintain research prototypes and software. Publish impactful research findings and present work for knowledge sharing. Work independently, as well as within a team, to ensure high-quality delivery.  Job Requirements Have relevant competence in the areas of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.

Salary

Competitive

Posted

30 Mar 2026

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Subjects Taught at Military Institute of Science and Technology (MIST)

See below for a range of subjects taught at Military Institute of Science and Technology (MIST)

Engineering

  • Civil Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering