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A position exists for a Postdoctoral Researcher to work on a project in the lab of Máté Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge (https://cbl.eng.cam.ac.uk).

The post holder will be located in Central Cambridge, Cambridgeshire, UK.

The project involves the modelling and analyses of neural circuit dynamics, in particular of the stabilised supralinear network, in the context of hippocampal memory recall. The project is based on the following key publications:

• Lengyel M, Kwag J, Paulsen O, Dayan P (2005) Matching storage and recall: hippocampal spike timing-dependent plasticity and phase response curves. Nat Neurosci 8:1677-1683.
• Hennequin G, Ahmadian Y, Rubin DB, Lengyel M, Miller KD (2018) The dynamical regime of sensory cortex: stable dynamics around a single stimulus-tuned attractor account for patterns of noise variability. Neuron 98:846-860.

The key responsibilities and duties are:

• Undertaking basic research, formulating research questions and pursuing them using mathematical modelling and numerical simulations.
• Making use of standard research techniques and methods, as well as developing new ones.
• Conducting literature and database searches.
• Analysing and interpreting the results of own research and generate original ideas based on outcomes.
• Continuing to update knowledge and develop skills.
• Assisting with teaching-related activities.
• Liaising with colleagues and students on routine matters.
• Making internal and external contacts to develop knowledge and understanding and forming relationships for future collaboration.
• Planning own day-to-day research activity.
• Contributing to the planning of research projects.

The successful candidate(s) will have:

• A strong quantitative background.
• Demonstrable interest in theoretical and systems neuroscience.
• Obtained a PhD in systems neuroscience, computational neuroscience, computational cognitive science, physics, mathematics, computer science, machine learning, engineering or a related field.

Preference will be given to candidates with:

• Previous experience in computational neuroscience, especially with modelling neural circuit dynamics, in particular the stabilised supralinear network.
• Sufficient programming skills to run numerical simulations.

Interviews will be conducted via Zoom.

Appointment is dependent on having a PhD.

Salary Range: *Research Associate: £36,924 - £45,163

Fixed-term: The funds for this post are available until 31 May 2026 in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV) including a publication list and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Prof Lengyel (ml468@cam.ac.uk) for queries of a technical nature related to the role or the CBL Group administrator (cbl-enquiries@eng.cam.ac.uk) for questions on the application process.

Please quote reference NM45179 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on advancing research in customer analytics.

The role holder will work with the Cambridge Service Alliance (CSA). The CSA is a research centre within the Institute for Manufacturing at the University of Cambridge.

This role focuses on advancing research in customer analytics through natural language processing (NLP), large language models (LLMs), machine learning (ML), and data visualization. The candidate will leverage their expertise in AI, statistics, and programming to design, develop, and evaluate cutting-edge AI-driven solutions aimed at enhancing customer experience, engagement, and personalized support, including conversational AI.

Operating at the intersection of AI and business, they will contribute to the development of next-generation methodologies and theories for customer experience management. Collaborating with CSA industrial partners and interdisciplinary teams, they will lead the design and execution of AI projects centred on customer-centric strategies.

The post holder will be located in West Cambridge Cambridgeshire, UK.

The key responsibilities and duties include:

• Conduct advanced research in NLP, LLM, and AI-driven customer analytics to address business challenges in customer experience.
• Design and implement scalable AI models for personalized customer interactions and predictive analytics.
• Publish research findings in conferences, journals and practitioner outlets.
• Collaborate with interdisciplinary teams, including business leaders and technical staff, to align AI solutions with organisational goals.
• Stay at the forefront of AI advancements, translating breakthroughs into actionable solutions.
• Develop robust algorithms and tools to analyse structured and unstructured data and improve decision-making processes.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Fixed-term: The funds for this post are available for 24 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy or the application process, please contact: Charlotte Jenkins on email csa-admin@eng.cam.ac.uk

Please quote reference NM45167 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

In 2022, building operations and construction accounted for 37% of total global energy and process related CO2 emissions (UNEP, 2023). Reducing these emissions is urgent. It is therefore worth rethinking the most used building material – concrete.

One approach to lowering the embodied carbon of concrete structures is shape optimisation – using material only where it is needed and taking advantage of the fluidity of concrete to create non-prismatic structural elements (Orr 2012; Orr et al. 2014). Another approach is replacing traditional steel reinforcement by alternative reinforcement, such as WFRP (Wounded-Fibre-Reinforced-Polymer) Bars which show the potential to reduce the embodied carbon compared to their steel-reinforced counterparts (Pavlović et al. 2022; Garg and Shrivastava 2019; Inman et al. 2017).

However, non-prismatic beams and slabs might be more prone to excessive deflection than their prismatic counterparts due to reduced flexural stiffness (Tayfur 2016). Additionally, WFRP -reinforced elements often exhibit greater deflection than steel-reinforced ones, because FRP bars (except carbon FRP ) typically have a lower elastic modulus than steel.

To address this issue, it is necessary to optimise the shape of WFRP - reinforced structural elements for Serviceability Limit State (SLS), ensuring they achieve lower embodied carbon than steel-reinforced ones whilst meeting design requirements for SLS . To achieve this, a theoretical method of shape optimisation for SLS is proposed, demonstrating higher efficiency than the existing method (Tayfur 2016). In addition, a flexural test on three BFRP (basalt FRP ) reinforced concrete slabs was conducted in the NFRIS (National Research Facility for Infrastructure Sensing) laboratory in 2024.

This presentation will cover this experimental study on the deflection of non-prismatic slabs in flexure as well as the theoretical method of shape optimisation for SLS .

• Speaker: Shizhe Hong, University of Cambridge, UK
• Friday 28 February 2025, 15:00-16:00
• Venue: CivEng Seminar Room (1-33) (Civil Engineering Building).
• Series: Engineering Department Structures Research Seminars; organiser: Shehara Perera.

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A Research Assistant/Associate position exists in the Additive Microstructure Engineering (AddME) Laboratory at the Department of Engineering. The role is to devise novel processing strategies to control the microstructure of different metal alloys using laser powder bed fusion (LPBF) technology. The post holder will be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties include producing builds of aluminium and steel alloys using LPBF technology; characterise the build microstructure and mechanical behaviour; and use the knowledge gained to devise novel microstructure designs for optimised part performance.

The role holder is expected to support and maintain the University's national and international reputation for excellence in research and teaching by producing high quality results which will be published in peer-reviewed journals and disseminate at national and international conferences. They will also assist with writing reports for funding bodies and with grant administration. The role holder is expected to work and interact with other members of the AddME Lab as well as our industrial partners. They will contribute to seminars and take part in the research group's broader research activities. The skills, qualifications and experience required to perform the role include experience in metal processing (particularly LPBF), microstructure analysis, and mechanical testing. The applicant will have obtained or be close to obtaining a PhD in Mechanical Engineering or Materials Science.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Salary Ranges: Research Assistant: £32,296 - £34,866 Research Associate: £36,924 - £45,163

Fixed-term: The funds for this post are available for 12 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV) inclusive of publication list and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy or the application process, please contact: Dr Matteo Seita (ms2932@cam.ac.uk) for queries of a technical nature related to the role; or Elizabeth Howard (eh301@cam.ac.uk) for queries related to the application process

Please quote reference NM45163 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A Research Assistant/Associate position exists in the Additive Microstructure Engineering (AddME) Laboratory at the Department of Engineering. The role is to set up computational models to predict the microstructure of metal alloys produced by laser powder bed fusion (LPBF). The post holder will be located in Central Cambridge, Cambridgeshire, UK.

The key responsibilities and duties include setting up the models using input from experiments and using the knowledge gained to devise novel microstructure designs for optimised part performance. The role holder is expected to support and maintain the University's national and international reputation for excellence in research and teaching by producing high quality results which will be published in peer-reviewed journals and disseminate at national and international conferences. They will also assist with writing reports for funding bodies and with grant administration. The role holder is expected to work and interact with other members of the AddME Lab as well as our industrial partners. They will contribute to seminars and take part in the research group's broader research activities.

The skills, qualifications and experience required to perform the role are: experience in computational modelling of the thermal history and microstructure evolution of materials processed via laser powder bed fusion. This may include phase field modelling, finite element analysis, CALPHAD, and Python. The applicant will have obtained or be close to obtaining a PhD in Mechanical Engineering or Materials Science.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Salary Ranges:
Research Assistant: £32,296 - £34,866
Research Associate: £36,924 - £45,163

Fixed-term: The funds for this post are available for 12 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV) inclusive of publication list and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Dr Matteo Seita (ms2932@cam.ac.uk) for queries of a technical nature related to the role. For queries related to the application process, please contact Elizabeth Howard (eh301@cam.ac.uk).

Please quote reference NM45154 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A position is available for a Research Assistant/Associate in Computational Mechanics in the Department of Engineering at the University of Cambridge. The research focuses on developing computational methods for imperfect/uncertain geometries, which present a significant challenge in digital design and analysis. These imperfections arise from manufacturing variations, operational wear, or corrosion and can critically degrade the performance and reliability of engineered products and systems.

The Research Assistant/Associate will join a research team developing innovative computational and mathematical techniques for handling random geometric imperfections. The work will leverage immersed boundary methods for simulation and probabilistic subdivision surfaces for geometry representation. The successful candidate will be integral to advancing these techniques and developing the corresponding software in collaboration with the Cambridge team, led by Professor Fehmi Cirak and project partners at Duke University, USA.

The post holder will be based in the new Civil Engineering Building (JJ Thomson Avenue 7a, Cambridge, CB3 0FA) West Cambridge, Cambridgeshire, UK.

The skills, qualifications, and experience required to perform the role are:

• A PhD (or be close to obtaining one) in computational mechanics, applied mathematics or a closely related area.
• A strong research track record in developing computational and mathematical methods for partial differential equations and their software implementation.
• Proficiency with modern software development frameworks and paradigms.
• Knowledge in complementary emerging research areas, such as Bayesian inverse problems, probabilistic analysis, or quantum computing, is highly desired.
• Excellent verbal and written communication skills.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Salary Ranges: Research Assistant: £32,296 - £34,866 Research Associate: £36,924 - £45,163

Fixed-term: The funds for this post are available for 29 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your curriculum vitae (CV), a cover letter, and a research statement in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Prof Fehmi Cirak (fc286@cam.ac.uk) for queries of a technical nature related to the role or Miss Sara Horsfield (div-d@eng.cam.ac.uk) for questions on the application process.

Please quote reference NM45155 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Steve founded Webb Yates Engineers with Andy Yates in 2005. Since founding the company, he has led a number of prestigious, multi award-winning projects, including the Stirling Prize shortlisted 15 Clerkenwell Close, The Kantor Centre of Excellence for the Anna Freud Centre, and the Hoover Building.

While thriving to make building structures intrinsic to architecture, Steve has pioneered the practice’s approach to innovation and sustainability. He is a strong advocate for the use of non-conventional materials to design low carbon structures, from cast iron to cork, and from inflatables to stone and timber.

Steve has written extensively for industry publications, including the Architect’s Journal, Architectural Review, Architecture Today, and the RIBA Journal. In 2020, he was awarded the Milne Medal, for continuously challenging and redefining what is considered possible in structural design.

• Speaker: Steve Webb, Webb Yates Engineers, UK
• Friday 21 February 2025, 15:30-16:30
• Venue: Teaching Room (James Dyson Building).
• Series: Engineering Department Structures Research Seminars; organiser: Shehara Perera.

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Applications are invited for the role of Teaching Office Administrator to join the administrative team in the Teaching Office at the Institute for Manufacturing (IfM), Department of Engineering, in West Cambridge.

The Manufacturing Engineering Tripos (MET) is a 3rd and 4th year undergraduate programme which provides a sound theoretical basis in manufacturing technology, manufacturing engineering and business management, coupled with the repeated experience of putting theory into practice via a series of projects. The MPhil in Industrial Systems, Manufacture and Management (ISMM), is the main full time postgraduate course at the IfM.

The role-holder will assist the MET and ISMM Teaching Coordinators across a range of teaching office functions, providing administrative support for both these courses, and will be one of the key points of contact for potential and existing ISMM and MET students and staff.

You will be educated to degree standard/Level 6 Vocational qualification or an equivalent level of practical experience, and possess excellent organisational, communication and interpersonal skills. The successful candidate will be competent in the use of standard software packages and will have previous administrative experience, preferably gained in an environment which supports teaching or examinations. You should be able to work with a high level of accuracy and have good attention to detail. Knowledge of key University of Cambridge systems, together with experience of working in a customer-service focused environment, would be advantageous. A driving licence is essential, as is experience of driving minibuses as this is a required aspect of the role.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is Sunday 2 March 2025. If you have any questions about this vacancy or the application process, please contact the HR Office at the Department of Engineering (hr-office@eng.cam.ac.uk, +44 (0)1223 332615).

Please quote reference NM45131 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Applications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL) cbl.eng.cam.ac.uk in the Information Engineering Division. CBL combines expertise in machine learning with computational neuroscience. The candidate will lead a research programme in one or more of the following areas: machine learning, decision making, and theory and practice of deep learning.

We encourage applicants who will strengthen our current research activities in probabilistic machine learning, reinforcement learning, supervised and unsupervised learning, active learning, and all aspects of machine intelligence. We welcome applicants with an interest in applications of machine learning to engineering and the sciences and who can make contributions to fundamental aspects of machine learning.

This position has been funded in part by a generous contribution from Toyota Motor Corporation. The successful applicant will have the opportunity and resources to work with Toyota on rich real-world data modelling, prediction, and decision-making problems. We will give priority to candidates who are well placed to do this.

The candidate will contribute to the Division's teaching activities including those associated with the Machine Learning and Machine Intelligence MPhil programme and the teaching of Information Engineering to undergraduate students.

We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

In addition to this, please ensure that you upload the application documentation as follows:

• Curriculum Vitae (CV);

• A full publications list, highlighting up to 5 publications you regard as most significant;

• Statement (no more than two pages in total) covering professional, teaching and research experience and describing your future research plans.

If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

The closing date for applications is Sunday 16 March 2025. If you have any questions about the application process, please contact the HR Office (hr-office@eng.cam.ac.uk, +44 (0) 1223 332615).

The interviewing panel will meet soon after the closing date in order to produce a short-list; references may be solicited. Short-listed candidates will be invited to visit the Department, give a short seminar/lecture and attend a formal interview.

Informal enquiries may be made to Prof. Carl Edward Rasmussen (cer54@cam.ac.uk) and Prof. Richard E. Turner (ret26@cam.ac.uk).

Please quote reference NM44215 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A position exists, for a Research Assistant in Photonics Integration of Graphene and Related Materials.

The aim is to develop a new class of integrated photonic and optoelectronic devices based graphene and related materials (GRMs), combining the versatile properties of GRMs with conventional three-dimensional semiconductors. The post holder will investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include design, commissioning, assembling and optimization of new growth/production and transfer equipment. Such devices will then be used in a wide range of applications such as on-chip optical routing, flexible optoelectronics, light emission, optical sensing and quantum communications. This is an ambitious research program, with a strong interdisciplinary nature, across photonics, plasmonics, device physics, electrical engineering and nanotechnology, and it will require the realization of novel devices for wide range of applications such as photodetectors, optical modulators, optical amplifiers, lasers, biosensors etc. based on integrated GRMs.

The successful candidate will hold a Bachelor or master's degree in Applied Physics, Material Science, Nanotechnology, Chemistry or Electrical Engineering with experience in photonics, optoelectronics in graphene and related materials, physics of low dimensional systems, plasmonics, near-field optics, CMOS technology and nanofabrication including, e-beam lithography and laser writing, on-chip optical and electrical characterizations, pump-probe and fast electro-optical measurements. Preference will be given to candidates with experience in silicon photonics, fabrication and optoelectronic characterization of graphene, related layered materials or other nanoscale photonic devices. An understanding of device physics, the physics of graphene and related materials is required.

The role holder would possess sufficient breadth or depth of knowledge in the discipline and of research methods and techniques to work within own area. The candidate will also have the ability to continually update knowledge, develop skills and engage in continuous professional development. They'll also have experience of managing their own workload.

Salary Ranges: Research Assistant: £32,296 - £34,866

Fixed-term: The funds for this post are available until 30 September 2025 in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy please contact Professor A C Ferrari, for questions on the application process, please contact: Alina Pupynina the Graphene Centre Administrator (admin@graphene.cam.ac.uk).

Please quote reference NM45106 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

In the field of infrastructure monitoring, current practices heavily rely on visual inspections that detect surface-level defects, which can miss underlying issues critical to structural integrity. In contrast, muon flux tomography (MFT) a game changing technology likened to an MRI for infrastructure can provide detailed internal imaging that enables a much deeper understanding of structural health. This ICASE studentship focuses on pioneering data fusion and processing techniques to integrate MFT data into a digital representation of the infrastructure asset suitable for Building Information Modelling (BIM). In collaboration with GScan, a leader in MFT technology, this EPSRC-funded PhD project will develop an advanced processing framework that enables accurate, high-resolution BIMs of reinforced concrete tunnel and bridge structures. By refining MFT data processing, improving spatial resolution, and optimising integration with BIM, this research will create a new tool for structural monitoring and predictive lifecycle management, enhancing infrastructure resilience and longevity.

We are seeking candidates with a strong background and academic track record in information engineering / computer science / ML. The successful applicant will have strong coding skills, a demonstrated ability to liaise with industry and an interest in future construction.

Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in Engineering or Computer Science.

Informal enquiries are encouraged and should be addressed to Dr. Erika Parn (eap47@cam.ac.uk ) and Dr Brian Sheil (bbs24@cam.ac.uk).

EPSRC ICASE studentships are fully-funded (fees and maintenance) for students eligible for Home fees.

Applications should be submitted via the University of Cambridge Applicant Portal www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg, with Dr Brian Sheil identified as the potential supervisor.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

A position exists, for a Research Assistant in the Department of Engineering, to work in control of converter based grids.

The post holder will be located in Central Cambridge, Cambridgeshire, UK.

The key responsibilities and duties are to work in the area of decentralized and plug-and-play control of converter based grids with a focus on DC microgrids while also considering applications in AC grids. In particular, various case studies will be formulated to validate recently developed decentralized stability certificates for DC grids, while also considering extensions in AC grids. The research assistant will also contribute to activities associated with the dissemination of the results.

The skills, qualifications and experience required to perform the role are:

• A very good first degree in engineering, physics, mathematics or a closely related field.
  
• Research experience in the area of control of converter based grids/microgrids, as well as decentralized and plug-and-play control.
  
• Good knowledge of English, and ability to efficiently communicate technical results via both oral presentations and papers/reports.
  

Applicants who wish to work either full-time or part-time will be considered.

Salary Range:
Research Assistant: £32,296 - £34,866

Fixed-term: The funds for this post are available until 11 June 2026 in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV) and a covering in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, you can contact Prof Ioannis Lestas at icl20@cam.ac.uk. For queries on the application process, please contact Group Administrator Lina Zvaginyte-Bagociene at control-sigproc-divf@eng.cam.ac.uk.

Please quote reference NM45032 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

We are looking for an enthusiastic individual to join our existing team of administrators in the Acoustics, Fluid Mechanics, Energy & Turbomachinery Division. Based at the Department's site in Trumpington Street, but with occasional visits to the Whittle Laboratory in West Cambridge as required, you will provide secretarial/administrative assistance to staff within the Division, including academics and administrators, as well as provide support for the Aerosol CDT.

In conjunction with the other administrators in the Division, you will support the coordination and administrative operation of the Acoustics, Energy, Fluid Mechanics and Turbomachinery groups to ensure the smooth running of teaching and learning/research activities. You will also be required to maintain the Divisional website and social media accounts.

Educated to HND/HNC, level 4/5 vocational qualifications or an equivalent level of practical experience, you will be an experienced user of Microsoft Office and possess excellent organisational skills. Previous administrative experience, accuracy and attention to detail are essential attributes for this role coupled with excellent communication and interpersonal skills.

If you think you are the ideal candidate for this role, we would be delighted to hear from you.

Fixed-term: The funds for this post are available for 12 months in the first instance.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is Tuesday 25 February 2025. If you have any questions about this vacancy or the application process, please contact the HR Office at the Department of Engineering (hr-office@eng.cam.ac.uk, +44 (0)1223 332615).

If you have any questions about this vacancy or the application process, please contact the HR Office at the Department of Engineering (hr-office@eng.cam.ac.uk). Informal enquiries about this post may be made to Michael Sutcliffe (mpfs1@cam.ac.uk).

Please quote reference NM45047 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

The University has received funding for a new National Research Facility for Propulsion and Power (NCPP), which will be housed in the new Whittle Laboratory Building in West Cambridge. We are seeking a Technical Engineer to lead the development of the new test facilities, manage their use, and market the facility to others.

Initially, the role will require you to assist with the design, tender, procurement and commissioning process for equipment which will be housed in the new research facility which includes liaising with the civil engineering contractors responsible for the design and development of the NCPP building and services to ensure the facility design is suitable for the department's future research needs. As the new building becomes operational you will support the use of the facility by industrial companies and research projects to ensure that the laboratories and workshops support the effective delivery of research activity.

You will hold a first degree or Masters in a scientific discipline in engineering, science or other relevant discipline and have specialist knowledge of research and technical work with particular experience of aerodynamic or aero-thermal test facilities. A PhD in aerothermal testing is highly desirable. You will have experience of working in a fast-paced R&D environment. As well as excellent communication and organisational skills, the ability to write reports for research and consultancy projects is required, together with software skills in a specialist area.

Fixed-term: The funds for this post are available for 12 months in the first instance.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is Tuesday 25 February 2025. If you have any questions about this vacancy or the application process, please contact the HR Office at the Department of Engineering (hr-office@eng.cam.ac.uk, +44 (0)1223 332615).

Please quote reference NM45049 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

The Department's Schofield Centre is located on the Department's West Cambridge site. The main focus of the work is the creation and maintenance of research equipment for the physical modelling of geotechnical processes. Research is active on the construction of tunnels, pipelines, foundations and underground structures, and on the mitigation of risks such as earthquakes, landslides, flooding and the spread of contaminants. In particular, the Schofield Centre houses the Philip Turner Beam Centrifuge and a smaller minidrum centrifuge. These high-profile model testing facilities attract a steady flow of international visitors and collaborations, as well as providing the main engine through which the Geotechnical Group can command a research grant turnover. Other aspects of work at the Schofield Centre include fundamental mechanics of soils to encompass applications such as construction processes, infrastructure, environmental engineering, petroleum engineering, sustainability and earthquakes, and the calibration of instruments for field monitoring.

We are seeking a Centre Coordinator to assist the Director of the Schofield Centre to ensure that the Centre runs efficiently by managing a wide range of duties including:

• Business management: research grants, industrial research contracts, centre facilities usage fees and centre budgets;
• Facilities management: resource allocation, building management;
• Office management and administrative support.

You will be educated to degree level /Level 6 vocational qualification or have an equivalent level of practical experience. The successful candidate will possess excellent communication and interpersonal skills with the ability to work as part of a team and also provide clear leadership when necessary. You will have experience of developing/reviewing administrative processes and systems, which includes budget management, as well as previous office and facilities management experience. Well-developed IT skills are an essential requirement for this role and knowledge of the University's financial management and procurement systems would be desirable.

Limited funding: The funds for this post are available for 3 years in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is Sunday 9 March 2025. If you have any questions about this vacancy or the application process, please contact the HR Office at the Department of Engineering (hr-office@eng.cam.ac.uk, +44 (0)1223 332615).

Please quote reference NM45005 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Abstract not available

• Speaker: Steve Webb, Webb Yates Engineers, UK
• Friday 21 February 2025, 15:30-16:30
• Venue: Teaching Room (James Dyson Building).
• Series: Engineering Department Structures Research Seminars; organiser: Shehara Perera.

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Inferring model parameters from observational data of a physical system is the setup for many inverse problems. Solving these kinds of problems can give key insight into the state of a system for quantities that are not directly observable, such as material properties. In this talk, we discuss a population-based perspective on solving inverse problems where the data available comes from a collection of physical systems and we are interested in characterising the (indirectly observable) properties of these systems at a distributional level. We call this: calibrating priors from indirect data. Furthermore, we show how this can be accomplished while concurrently learning ML-based surrogates which capture the behaviour of the physical systems of interest.

• Speaker: Arnaud Vadeboncoeur, University of Cambridge
• Friday 07 February 2025, 15:00-16:00
• Venue: CivEng Conference Room (2nd Floor) (Civil Engineering Building).
• Series: Engineering Department Structures Research Seminars; organiser: Shehara Perera.

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We are seeking a Finance Clerk to join the department's Finance Office. You will undertake a full range of accounts administrative duties within the Department's "central" Finance Office following University policy and procedures and best practice in order to achieve accurate input within specified guidelines and against specified deadlines.

You will be educated to at least A Level standard and will be AAT qualified at intermediate level or working towards this qualification. The role involves day-to-day contact with academic, technical and administrative staff and students and requires the ability to communicate effectively with a wide range of people.

Benefits of working at Cambridge include:

• Competitive rates of pay with automatic service-related pay progression and annual cost of living increases
• Generous annual leave allowance of 40.5 days paid leave (including bank holidays)
• Flexible and hybrid working opportunities
• Generous maternity, adoption and shared parental leave entitlement and other family friendly schemes (e.g. workplace nurseries and salary exchange schemes for childcare)
• An auto-enrolment pension scheme , with a generous employer contribution
• Travel benefits and retail discounts at over 2,000 local and national stores
• Schemes to support with relocation / the provision of accommodation

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is Wednesday 26 February 2025. If you have any questions about this vacancy or the application process, please contact the HR Office at the Department of Engineering (hr-office@eng.cam.ac.uk, +44 (0)1223 332615).

Please quote reference NM44983 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A position exists, for a Research Associate/Senior Research Associate in the Department of Engineering, to work on bio-photonic devices.

The post holder will be located in West Cambridge, Cambridgeshire, UK.

The Research Associate/Senior Research Associate will join the Integrated Quantum Photonics group, based in the Nanoscience Centre at the University of Cambridge, a research group that works on simulation, nanofabrication and optical characterisation of nano- and quantum photonic devices, integrating quantum light emitters. They will work on a research project focused on the investigation of the optical properties of photosynthetic light harvesters on a chip, with the aim of unveiling quantum effects and reverse-engineer them for light harvesting and quantum technology applications. This interdisciplinary project combines the spectroscopy of biomolecules and quantum optics experiments with nanofabricated photonic devices, engineered to increase the light-matter interaction and enhance the collection efficiency. Highly motivated researchers, willing to work at this challenging project at the boundary of biology and quantum physics are welcome to apply.

Education & qualifications: Applicants should have a PhD in Physics, Materials Science, Engineering, Biology, Biotechnology or related areas. For the Senior Research Associate role, the role holder would have at least three years of postdoctoral research experience at the level of Research Associate, or equivalent experience.

Specialist knowledge & skills: Quantum photonics, quantum optics, nano-photonics, nanofabrication, Finite-Difference Time-Domain simulations, spectroscopy of biological samples.

Relevant experience: Experience in spectroscopy and quantum optics is highly desirable. Experience in simulations and nanofabrication are desirable but not essential.

In the first instance, the position is available for 12 months or until 01/03/2026 whichever comes soonest. Candidates will be considered for the appropriate role based on their experience matching the criteria.

Salary Ranges: Research Associate: £36,924 - £45,163 Senior Research Associate: £46,485 - £58,596

For more information about the project, please contact Dr Luca Sapienza (LS2052@cam.ac.uk) and for more information about the research activities of the group, please visit www.quantum.eng.cam.ac.uk

Fixed-term: The funds for this post are available for 12 months or until 1 March 2026, whichever comes soonest.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV), including a research publication list, and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Dr Luca Sapienza (LS2052@cam.ac.uk) for queries of a technical nature related to the role or for queries on the application process, please contact: Sue Murkett (sm330@cam.ac.uk)

Please quote reference NM44986 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

A position exists, for a Research Associate in the Department of Engineering, to work on power electronics packaging.

This position is a part-time 50% FTE (18.5 hours per week) role.

The post holder will be located in West Cambridge, Cambridgeshire, UK.

This role will conduct research on new power electronics packaging materials to enable separable parts of the device/module package. The position holder needs to investigate new bonding materials and new packaging structures. We aim to achieve a new type of power electronics packaging method after this research, which enables parts of the package to be repairable, replaceable, and recyclable.

Applicants must have a PhD in Electrical Engineering or Mechanical Engineering with focus in power electronics packaging.

Applicants have expertise and knowledge in Power electronics packaging, including materials, structure, and design. Materials characterisation and analysis; Power electronics reliability analysis; Basic design specification of power electronic circuit and applications. Thermomechanical modelling, power electronic package prototyping, power cycling testing including rig development and operation, data analysis and programming skills.

Applicants should have experience in power electronic package design and testing; power cycling development and operation; reliability analysis; diagnostic methods such as microscopy and analysis; Proficient in using ANSYS (Icepack, MAXWELL, HFSS), COMSOL, MATLAB, CADs, Altium Designer

Applicants should have at least two accepted/published journal papers. Salary Ranges: Research Associate: £36,924 - £45,163

Fixed-term: The funds for this post are available for 9 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV), publication list, and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Professor Teng Long tl322@cam.ac.uk for queries of a technical nature related to the role or Michyla Castle (mc2149@cam.ac.uk) for questions on the application process.

Please quote reference NM44979 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.