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Sheffield Hallam University

Ranked
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Sustainability Impact Rated
Sheffield, United Kingdom
801–1000th in World University Rankings 2026
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About Sheffield Hallam University

Basic information and contact details for Sheffield Hallam University

Sheffield Hallam University was founded in 1843, originally as the Sheffield School of Design and in response to the industrial revolution, in which Sheffield established itself as a leading centre for steel production. 

Granted university status in 1992, the university is now the sixth largest in the UK with over 30,000 students, including 4,000 students from overseas.

The university has two campuses: City Campus is at the heart of the city and located near to Sheffield railway station; and Collegiate Campus, which is a couple of miles further out and surrounded by green space. Both comprise Grade-II listed buildings alongside more modern facilities.

It offers over 700 courses for students to choose from, with more than half its courses including an integrated work placement or similar.

The university prides itself on its health and social care courses, teacher training, and sport and physical activity. Its most popular courses by enrolment numbers are in business and administrative studies, medicine, and biology.

Sheffield is the UK’s fifth largest city and, with more than 60,000 students resident, it has a reputation for fun and friendliness.

It's also safer than other big cities, according to the 2013 UK Peace Index, which judged it to be an easy-going and tolerant place to live.

As well as laying claim to art galleries, culture and a thriving music scene, Sheffield is the greenest city in England, with over 200 parks and more trees per head than any other city in Europe.

It's also located close to the Peak District National Park, an area of outstanding natural beauty, while the neighbouring northern cities of Manchester and Leeds are within easy reach.

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Key Student Statistics

A breakdown of student statistics at Sheffield Hallam University

gender ratio
Student gender ratio
55 F : 45 M (1)
globe fill
International student percentage
23% (1)
student per staff
Students per staff
19 (1)
student
Student total
29535 (1)

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

Jobs you might be interested in

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Research Engineer (Decision-Support Tool Development) - CSC3

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 skill sets that are relevant to industry demands while working on research projects in SIT. Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.

Salary

Competitive

Posted

29 May 2026

Research Engineer / Research Fellow (AI Agent) - JL

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification, dedicated to applied research in immersive technologies and bridging the gap between academia and industry. Research staff at the Centre have the opportunity to be equipped with applied research skill sets relevant to industry demands while working on innovative projects within the university. The primary responsibility of this role is to contribute to the design, development, and deployment of an advanced content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Design and develop robust and scalable game agents to navigate and interact with immersive 3D virtual environments (e.g., Roblox, Minecraft). Integrate AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives) Leverage fine-tuned Vision-Language Models (VLMs) for game scenario detection, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents, or similar. Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems. Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes). Communicate research findings and project progress effectively through demos, internal presentations, and contributions to external academic forums where appropriate. A genuine passion for developing AI agents for games. Roblox or Minecraft players are a strong advantage. Key Competencies Strong software development and debugging skills. Demonstrable experience with machine learning frameworks. Proficient in technical writing and system documentation. Self-directed learner with strong problem-solving and research capability.

Salary

Competitive

Posted

29 May 2026

Research Engineer/ Research Fellow (Design Factory) - NCP2

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Job Purpose We are a multi-disciplinary design team that uncovers opportunities and challenges others overlook, solving them with bold, unconventional solutions powered by deep technology. Through compelling storytelling and stunning product visuals, we bring complex technologies to life, making them accessible, desirable, and easy to adopt. We don't just showcase technology, we champion it. Acting as the bridge between cutting-edge innovation and real-world customers, we translate technical complexity into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire action. Key Responsibilities Lead end-to-end design processes, from user research and ideation to wireframing, prototyping, and high-fidelity UI design Conduct user research, usability testing, and interviews to uncover insights that inform design decisions Produce high quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes. Support the design and development of physical products from early concept through to final production Present designs to customers, develop and iterate designs through sketches, prototypes, renderings and communicate with stakeholders. Work on projects that spread across product development, print, packaging, video storytelling, brand identity, and interactive projects for screens, devices, and space. Build physical and digital models and prototypes to explore and validate design directions. Align with proposed design direction and bring in the voice and emotion to the project through thoughtful features and initiatives. Bring both a strategic eye and a depth of craft in brand and communications design to the project teams. Provide advice and guidance on the implementation of UI/UX research methodologies and instil inspiration into the organization and our partners. Assist in creating prototypes of different levels of fidelity to help enhance the design direction for a project. Applied Research and Innovation Job Requirements Minimum 2 years of experience in Industrial design or UI/UX design, with a strong portfolio demonstrating end-to-end design thinking Degree in Industrial Design, Product Design, Interactive Design or related field. Solid understanding of user-centered design principles, interaction design, and visual design fundamentals A collaborative mindset with the ability to give and receive constructive feedback Experience working within agile or iterative product development environments is a plus Proficiency in design tools such as Figma, Adobe XD, or equivalent Proficiency in CAD software such as SolidWorks, Rhino, or Fusion 360 Familiarity with rendering tools such as KeyShot, Blender, or similarAbility to spark ideas and generate fresh concepts and inspire peers. High proficiency in Adobe Photoshop, Illustrator and other Adobe Suite Tools. Excellent drawing skills with a creative mind to bring new perspectives to the design.

Salary

Competitive

Posted

29 May 2026

Research Engineer / Fellow (Systems) - JL

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification, dedicated to applied research in immersive technologies and bridging the gap between academia and industry. Research staff at the Centre have the opportunity to be equipped with applied research skill sets relevant to industry demands while working on innovative projects within the university. The primary responsibility of this role is to contribute to the design, development, and deployment of an advanced content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where multiple LLM-powered agents operate concurrently to explore user-generated worlds and trigger diverse contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Enable real-time adaptive learning via human-in-the-loop feedback and reinforcement learning mechanisms in collaboration with other work packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Responsibilities Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Hands-on experience in designing and implementing software systems involving multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g., Unity3D, OpenAI Gym, WebGL) is advantageous. Experience in developing and deploying cloud-based applications (e.g., AWS, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph inference is a plus. Key Competencies Strong software development and debugging skills. Able to design modular, scalable systems and benchmark their performance. Proficient in technical writing and system documentation. Self-directed learner with strong problem-solving and research capability.

Salary

Competitive

Posted

29 May 2026

Research Engineer (Robotics) - KCM1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Posting Start Date: 21/04/2026 Schemes of Service: Research Division: Engineering Employment Type: Fixed Term About the Project We are seeking a highly motivated Research Engineer to spearhead a pioneering project involving the integration of a high-precision surveyor tool (Trimble S9 HP total station) onto a dynamic legged robot. This project moves beyond standard mechanical integration, focusing heavily on the software architecture required for seamless, automated operation. The core objective is to architect and develop the robust middleware that facilitates real-time communication between the legged robot's controller and the sophisticated surveying payload. By taking on this role, the successful candidate will master the art of payload integration and middleware development—a highly sought-after skillset that empowers engineers to upgrade, integrate, or automate virtually any tool or sensor payload in their future careers. Key Responsibilities Middleware Development: Architect, build, and maintain the communication middleware bridging the legged robot's control system and the surveyor payload. Systems Integration: Ensure seamless hardware and software integration between the mobile base and the high-precision surveying equipment. Mapping & Navigation: Implement and optimize mapping algorithms and remote control functionalities tailored for a legged platform navigating complex terrains. Protocol Implementation: Utilize robust industrial communication protocols and custom scripts to ensure reliable data transfer and command execution. Testing & Validation: Design and execute rigorous field testing procedures to validate the integrated system's accuracy, stability, and reliability. Qualifications & Requirements Bachelor’s degree in Robotics Systems Engineering, Mechatronics, Computer Science, or a closely related field. (Graduating students finishing coursework by April are highly encouraged to apply). Strong foundational knowledge of legged robotics, including locomotion, kinematics, and control systems. Proven proficiency in robotics middleware (e.g., ROS/ROS2) and related communication frameworks. Hands-on experience with mapping technologies (SLAM) and remote operation systems. Strong programming skills, particularly in Python and C++. Familiarity with industrial protocols and serial communication. A proactive mindset with the ability to troubleshoot complex electro-mechanical and software integration challenges. Why Join This Project? Gain hands-on experience with cutting-edge legged robotics and top-tier industrial surveying equipment. Develop highly transferable skills in systems integration that will set you apart in the robotics and automation industry. Work in an innovative academic research environment with opportunities to define the architecture of a novel automated system.

Salary

Competitive

Posted

29 May 2026

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Subjects Taught at Sheffield Hallam University

See below for a range of subjects taught at Sheffield Hallam University

Arts and Humanities

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

Law

  • Law

Life Sciences

  • Biological Sciences
  • Sport Science

Medical and Health

  • Other Health

Physical Sciences

  • Chemistry
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

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