Rust College

Salary: £38,784 - £43,482 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Academic, Construction, Engineering, Higher Education Job reference: REQ000473 Attachments: attachment Lecturer in BE (Quantity Surveyor) JDPS.pdf Job description University College Birmingham is seeking an enthusiastic and knowledgeable Lecturer in the Built Environment with expertise in Quantity and Building Surveying. This role is ideal for an academic or industry expert who is passionate about shaping the future workforce in advanced and technology-driven construction sectors We are particularly interested in candidates with experience or research interests in areas such as: Civil Engineering Building Surveying Quantity Surveying Building Information Modelling CAD and digital modelling The successful candidate will: Deliver high-quality, innovative, and inclusive teaching to support student success Contribute significantly to curriculum design in manufacturing, automation, and related areas Bring strong research-informed practice and/or industry expertise into their teaching Support students in achieving their academic, technical, and professional ambitions Engage actively in departmental development and continuous improvement Why Join Us? Be part of a growing, forward-thinking team that values industry experience as much as academic knowledge. Teach and support motivated apprentices—over 25 currently enrolled and more joining soon. Play a key role in shaping future talent in Building Services Engineering through both review processes and lecture delivery. Work with cutting-edge resources and collaborate with passionate colleagues and industry partners. Enjoy a role that combines flexibility, purpose, and professional impact—ideal for someone seeking to give back to the industry in a meaningful way If you're looking for a rewarding opportunity to use your skills, guide the next generation of professionals, and contribute to a sustainable future for construction—this could be your next move. Standard Information UCB is an equal opportunities employer. University College Birmingham is proud to be TEF rated Silver, with a Good Ofsted rating UCB has achieved the Investors in Diversity Bronze Award. You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education. 

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 Fellow will contribute to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues at the policy–academic interface. This position is ideal for an early- or mid-career researcher with experience in GIS or remote sensing who seeks to apply and expand their expertise in a fast-paced, interdisciplinary research environment. The successful candidate will work with leading researchers and contribute to cutting-edge research and policy dialogues at the intersection of blue–green infrastructure, tropical urban ecosystem services, and urban resilience (covering themes such as urban flooding, thermal cooling, recreation, and biodiversity). The work includes Local Climate Zone (LCZ) classification and collaboration with Japanese university partners for integrated macro- to micro-scale analysis. 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 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.  Identify, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological and socio-economic datasets to develop and calibrate high-accuracy ecosystem service models. Conduct literature reviews and synthesize findings into conceptual frameworks and research designs. Support cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization. Draft and edit research reports, policy briefs, and academic manuscripts. Contribute to project management, workshop organization, and stakeholder or 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 and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem service identification and analysis is highly advantageous. Excellent data management, research design, and reporting skills. Strong communication and presentation skills in English. Highly organized, proactive, and capable of working both independently and within multidisciplinary teams. Additional Note: While prior experience in ecosystem service modelling and simulation is not mandatory, it will be considered a strong advantage. Candidates with a solid GIS or remote sensing background who demonstrate interest in applying their skills to ecosystem service assessment are encouraged to apply. The project team will provide on-the-job training and guidance in ecosystem service modelling tools (e.g., InVEST and related software) to support skill development and ensure effective integration across research tasks. Key Competencies Integrates GIS, remote sensing, and environmental data for spatial modelling. Proficient in or able to learn ecosystem service software (e.g., InVEST, ARIES). Strong analytical, problem-solving, and data interpretation skills. Effective in research design, reporting, and scientific communication. Works independently and collaboratively in multidisciplinary teams. Demonstrates initiative, adaptability, and sound research ethics.

The Role Applications are invited for a Postdoctoral Research Associate in Experimental Radio Propagation Studies for both indoor and outdoor mobile environments for potential spectrum sharing and modelling of the impact of precipitation on mm wave fixed radio links from the high-end weather station installed at Durham University and measurement data. The successful candidate will be working in the Centre for Communication Systems led by Professor Salous who is the lead academic at Durham University for the EPSRC project Transmission Channels Measurements and Communication System Design for Future mmWave Communications (mmWave TRACCS), which is a collaborative project with Queen Mary University of London (QMUL) and University College London (UCL). The project brings the complementary expertise of leading industry and UK research groups, to research, design and experimentally demonstrate systems working in typical deployment scenarios, in an integrative and holistic fashion. For such work, there are key challenges relating to the radio channel and system design. Challenge 1: to design wireless communication systems, it is paramount to have a verifiable model of the physical propagation channel by collecting measurement data from a specialist and bespoke designed equipment termed "channel sounder", which sends signals over the air and the receiver measures these signals after propagation. Such a model depends on several physical factors, but mainly the transmission signal parameters e.g. the frequency of transmission, the bandwidth of the signal, and the propagation channel physical parameters, such as whether the environment is indoors or outdoors, environmental factors, presence of obstacles, water moisture, and other factors. Professor Salous and her group at Durham have been building channel sounders for over thirty years and the models she has developed are considered amongst the best in the world, used by regulators, industry and the United Nations through the International Telecommunications Union, (ITU). In this project Professor Salous and the successful candidate will conduct measurements and develop unique models for future generation wireless systems using the new channel sounding. Challenge 2: Different method for spectrum sharing need to be identified for potential deployment in networks and in network planning tools and modelling of the impact of weather conditions on radio links. The successful applicant will be expected to Conduct wideband radio propagation measurements in typical indoor and outdoor environments and analyse the data using Matlab code to estimate the appropriate channel parameters in various wave bands for the design of radio systems. Collect the data and analyse it and relate it to weather data for prediction models. The results are to be generated in a suitable format for modelling in radio systems.