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University of Zambia

Ranked
Lusaka, Zambia
1501+ in World University Rankings 2026
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About the University of Zambia

Basic information and contact details for the University of Zambia

institution

The University of Zambia is a public university located in Lusaka, the capital and largest city of Zambia. The university was established in 1965 and opened to students the year after.

The university is split across two campuses, one on Great East Road and another, for medical students, at John Mbita Road opposite the university teaching hospital.

The university offers some 157 undergraduate and postgraduate degree programmes across a range of schools including the school of agricultural sciences, engineering, humanities and social sciences, law, mines, medicine, natural sciences, veterinary medicine and the Graduate School of Business. The majority of courses are taught in English.

There is accommodation available for up to 3,200 students at the main campus and a further 442 at the Ridgeway Campus. There is no accommodation for married students or parents, with each room being split between two students.

There are over 50 student organisations for students to join. There is also the East Park Mall, offering shopping, restaurants, gym and entertainment which is a five minute walk from the university campus.

Alumni include three of the country’s past presidents: Hakainde Hichilema, Edgar Lungu and Levy Mwanawasa.

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Key Student Statistics

A breakdown of student statistics at the University of Zambia

gender ratio
Student gender ratio
62 F : 38 M (1)
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International student percentage
5% (1)
student per staff
Students per staff
31.2 (1)
student
Student total
29300 (1)

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

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Research Engineer (in AI-assisted Speech Therapy) - ZZC

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

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 skills that are relevant to industry demands while working on research projects in SIT.  The primary responsibility of this role is to contribute to an applied research project related to AI-assisted speech therapy in collaboration with hospital partners. Key Responsibilities: Model Development: Design, train, and fine-tune ASR and TTS models to achieve high accuracy and personalization across diverse speech patterns and impairments. Data Management: Oversee data collection and preprocessing in collaboration with healthcare partners to ensure quality, diversity, and clinical relevance. System Integration: Export and deploy models for real-time use on mobile and web platforms, and work with developers to ensure seamless integration. Tooling and Automation: Develop pipelines and utilities to support data processing, model training, evaluation, and continuous improvement. Collaboration and Knowledge Transfer: Document technical processes, contribute to multidisciplinary teamwork, and guide students in applied research and system development. Job Requirements: Educational Background  Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master’s degree is preferred. ASR/TTS Expertise Experience in training and fine-tuning Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) models, preferably in multilingual or speech impairment contexts. Programming Skills Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask, or React) is a plus.  Data Handling Familiarity with speech data collection, preprocessing, and management to ensure quality and ethical data use. Deployment Knowledge Experience exporting and deploying models on cloud or cross-platform environments. Collaboration and Communication Strong teamwork, documentation, and communication skills to work effectively with multidisciplinary teams and healthcare partners.

Salary

Competitive

Posted

6 Jan 2026

Administrator

UNIVERSITY OF SOUTHAMPTON

University of Southampton

United Kingdom, Southampton

institution

University of Southampton

United Kingdom, Southampton


About the role: Would you like to play a key role in supporting the University’s Biomedical Research Facility, ensuring smooth operations and compliance with research standards and supporting animal research across the university? If you are a confident and self-motivated individual who enjoys working in a fast-paced research environment, we would like to hear from you. You will have experience in administrative support, ideally within a scientific or research setting. Strong organisational skills, attention to detail, and the ability to manage multiple priorities are essential. You should be proactive, adaptable, and able to work effectively under pressure while maintaining accuracy. The role is varied and includes: Acting as the first point of contact for BRF enquiries. Supporting researchers and technical staff with administrative processes. Maintaining accurate records and databases related to research projects, staff training, and compliance. Assisting with scheduling, procurement, and documentation for the facility. Facilitating and taking minutes at high level meetings Ensuring adherence to University and Home Office regulatory standards. You will use a range of IT systems for data entry, reporting, and communication, so confidence with technology is important. What we offer: Your main work location will be at the University of Southampton, with access to University facilities and flexible working options where appropriate. We offer: Generous holiday allowance (20 days annual leave plus bank holidays and University closure days). Occupational pension scheme. Access to on-campus sports, arts, and cultural facilities. Employee discount schemes. As part of the BRF team, you will contribute to world-class research that addresses major health and scientific challenges. This is a fantastic opportunity to join a collaborative and supportive environment where your work makes a real impact. Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton.

Salary

£27,319 to £30,378 per annum

Posted

5 Jan 2026

Teaching Faculty Position – Algorithms and Data Structures

MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi

institution

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi


Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty.  The Undergraduate Division is seeking teaching faculty at all levels with expertise in either Data Structures, Algorithm Design and Analysis or Python Programming. About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution. With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions. Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty 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 or closely related field. Candidates should have a strong knowledge of either Core Algorithms, Data Structures, Algorithms and complexity analysis, as well as proficiency in at least one major programming language (Python, C++, or Java) and industry or research experience applying algorithmic methods. Application Instructions To apply for this position, please submit the following:     Cover letter                                                     Curriculum Vitae Teaching statement                                                     Reference letters or Name and contact details for three referees MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.  Be a part of AI’s future – apply today at MBZUAI! #MBZUAI #careeropportunities #AI Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Salary

Competitive

Posted

5 Jan 2026

Teaching Faculty Position – Bio Physics and AI

MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi

institution

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi


Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty.  The Undergraduate Division is seeking teaching faculty at all levels with expertise in Bio and AI or Physics and AI. The target will be teaching part of an interdisciplinary course which explores the intersection of physics, biology, and artificial intelligence, equipping students with analytical and computational tools to model, simulate, and understand complex biological and physical systems. About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution. With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions. Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty 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 or Master’s degree in Biophysics, Physics, Biomedical Engineering, Computational Biology, AI/ML, or a closely related field. Demonstrated Expertise in one or more of the following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences Physics and AI: Physics-Informed Machine Learning (PIML):  Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in Physics with applications to  Material discovery and quantum chemistry - Gen AI designing materials with target properties Astrophysics and cosmology: Deep learning for telescope image analysis, gravitational wave detection, dark matter inference Foundational and Theoretical Intersections i.e.  Statistical mechanics of learning -  Understanding generalization, loss landscapes, and over-parameterization using physics analogies or Information theory and thermodynamics of computation: Energy limits, entropy, physical cost of learning Quantum Machine Learning (QML) at the intersection of quantum computing and artificial intelligence Proven teaching experience at the undergraduate or graduate level (or equivalent professional training experience): Proven teaching or research supervision experience at the undergraduate or graduate level Strong commitment to interdisciplinary education and innovative pedagogy Preferred Qualifications Research or industry experience applying AI to biological/biomedical challenges OR Physics informed AI Experience with Python, MATLAB, Pytorch, or other scientific computing tools of the area Track record of mentoring students in cross-disciplinary or project-based learning Application Instructions To apply for this position, please submit the following:     Cover letter                                                     Curriculum Vitae Teaching statement                                                     Reference letters or Name and contact details for three referees MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.  Be a part of AI’s future – apply today at MBZUAI! #MBZUAI #careeropportunities #AI Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Salary

Competitive

Posted

5 Jan 2026

University Assistant Predoctoral, Law

UNIVERSITY OF VIENNA

University of Vienna

Austria, Vienna Danubepier Hov

institution

University of Vienna

Austria, Vienna Danubepier Hov


The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 34 Faculty of Law Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5092 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: We are a highly dedicated team working intensively in the area of teaching and researching Austrian and international civil procedure. We offer flexible working hours, possibilities of further and continuing education, a pleasant working atmosphere and an adequate initial salary. As a university assistant prae doc, you will complement the research team around Univ.-Prof. Dr. Dr.h.c. Paul Oberhammer. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects and scientific studies, pulbications and the organisation of conferences and symposiums. We expect you to finalize your dissertation agreement within 12-18 months. You work on your dissertation and its completion. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration. In particular, you will contribute to the scientific work of the research center "Institute for Notarial Law". This is part of your personality: Completed Master's degree or Diploma in the field of law University studies completed with good success, particularly in the field of civil procedure, proven by results of examinations (presentation of transcript of records and grades mandatory for application), therefore excellent knowledge of Austrian procedural law Knowledge of international arbitration law Knowledge of university processes and structures Basic experience and interest in academic writing and with research methods Excellent command of written and spoken English (C1 Level) High ability to express yourself both orally and in writing Didactic competences IT user skills You should be a team player with high social skills. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae With your letter of motivation With your summary of reserach interests / ideas for a prospective doctoral project proposal With your list of publications (if available) With evidence of teaching experience (if available) With degree certificates With your Master Degree / Diploma Via our  job portal / Apply now - button If you have any questions, please contact: Petra Peirleitner petra.peirleitner@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 01/15/2026

Salary

The basic salary of EUR 3.776,10 (on a full-time basis)

Posted

5 Jan 2026

Subjects Taught at the University of Zambia

See below for a range of subjects taught at the University of Zambia

Arts and Humanities

  • Archaeology
  • Art, Performing Art and Design
  • History, Philosophy and Theology
  • Languages, Literature and Linguistics

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

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

Law

  • Law

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science
  • Veterinary Science

Medical and Health

  • Medicine and Dentistry
  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies
  • Geography
  • Politics and International Studies
  • Sociology