Jobs @ Department of Engineering

We are looking for a Stores Assistant who will be based at the Department of Engineering's Central site in Trumpington Street. You will join a small team who support the procurement of goods and services on behalf of the Department and/or research group in order to ensure smooth running of the stores service.

You will be responsible for checking goods on arrival, receiving and booking in deliveries and performing regular stock counts. In this busy role, you will also be supporting deliveries and collections, loading/unloading and delivering stock to and from various Departmental sites across Cambridge, as well as operating Forklift equipment to assist with the onsite movement of goods and equipment.

It is imperative that the post holder embraces, practices and understands that excellent customer service and customer satisfaction is a priority in each and every transaction. They should be proactive, patient and motivated to serve Academics and students from all levels and cultures. Interpersonal skills and good communications are therefore a must.

You will be educated to GCSE Maths and English/NVQ level 2 or equivalent, with good knowledge of stores maintenance and/or purchasing. Good organisational and communication skills, as well as experience of working with purchasing systems are essential for this role. Basic IT skills, knowledge of COSHH regulations/requirements are also necessary and a clean and current UK manual vehicle driving licence is essential.

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 43.5 days' paid leave (including bank holidays);
• 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;

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

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, 01223 332615).

Please quote reference NM44812 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 support and extend the research ongoing in the Bioelectronics Laboratory on implantable electrophysiology devices. The role holder must have expertise in rodent brain electrophysiology and a strong interest in working with an interdisciplinary team of scientists, engineers and clinicians to develop and translate novel healthcare devices.

The key responsibilities and duties are:

1. Research and scholarship:

   • Effectively work with a team of scientists, engineers and clinicians to develop and translate novel implantable devices.
   • Lead technology validation in rodent models, including performing surgery for implant placement, acquisition and analysis of electrophysiology data.
   • Write up research work for presentation and publication.
   • Continually update knowledge and understanding in field or specialism.

2. Teaching and learning support:

   • Assist in the supervision of undergraduate/graduate student projects in the area of Neurotechnology.

3. Liaison and networking:

   • Build internal and external contacts and participate in networks for the exchange of information and to form relationships for future collaboration.

4. Planning and organising:

   • Plan and manage own research activity in collaboration with others.
   • Contribute in planning of joint research projects led by the Principal Investigator.
   • Assist in the preparation of reports to funding body.

The skills, qualifications and experience required to perform the role are a PhD in Neuroscience or a related discipline, extensive experience in rodent brain electrophysiology, including surgery and data acquisition/analysis and histology experience.

Research Associate: £36,924 - £45,163

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

Fixed-term: The funds for this post are available until 31 December 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 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: George Malliaras (gm603@cam.ac.uk) for queries of a technical nature related to the role and Kirsty Shepherd (kjs64@cam.ac.uk) contact for queries related to the application process.

Please quote reference NM44801 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 Aviation Impact Accelerator (AIA) at the University of Cambridge seeks to recruit an Assistant Technical Analyst based at the Whittle Laboratory in West Cambridge. The research carried out by the AIA is critically dependent upon robust modelling and analysis to support its mission of transforming aviation toward a net-zero future. This new role has been created to align with the design and delivery of innovative tools and services that underpin cutting-edge research in sustainable aviation.

To assist the AIA in achieving its objectives, you will develop and operate models that assess the economic and environmental outcomes of aviation systems. You will also contribute to external reports and grant proposals under the supervision of the line manager, while engaging with stakeholders across academia, industry, and policy domains to ensure impactful delivery of research outputs.

You will have an undergraduate degree in STEM (engineering, mathematics, physics, environmental sciences, or a related field), or equivalent practical experience. You will possess strong software skills preferably in Python, alongside proficiency in modelling and data analysis. Excellent verbal and written communication skills are essential, as is the ability to work both independently and as part of a team. Previous experience in techno-economic analysis, lifecycle modelling, or related areas will be advantageous.

This is an exciting opportunity to contribute to meaningful research that influences global aviation policies while developing your expertise in a collaborative and innovative environment.

Fixed-term: The funds for this post are available until 31 July 2025 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.

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, 01223 332615).

Please quote reference NM44800 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 support and extend the research ongoing in the Bioelectronics Laboratory on implantable electrophysiology devices. The role holder must have expertise in rodent brain electrophysiology and a strong interest in working with an interdisciplinary team of scientists, engineers and clinicians to develop and translate novel healthcare devices.

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

The key responsibilities and duties are:

1. Research and scholarship:

   • Effectively work with a team of scientists, engineers and clinicians to develop and translate novel implantable devices.
     
   • Lead technology validation in rodent models, including performing surgery for implant placement, acquisition and analysis of electrophysiology data.
     
   • Write up research work for presentation and publication.
     
   • Continually update knowledge and understanding in field or specialism.
     

2. Teaching and learning support:

   • Assist in the supervision of undergraduate/graduate student projects in the area of Neurotechnology.
     

3. Liaison and networking:

   • Build internal and external contacts and participate in networks for the exchange of information and to form relationships for future collaboration.
     

4. Planning and organising:

   • Plan and manage own research activity in collaboration with others.
     
   • Contribute in planning of joint research projects led by Principal Investigator.
     
   • Assist in the preparation of reports to funding body.
     

The skills, qualifications and experience required to perform the role are a PhD in Neuroscience or a related discipline, extensive experience in rodent brain electrophysiology, including surgery and data acquisition/analysis and histology experience.

Salary range: Research Associate: £36,924 -£45,163.

Fixed-term: The funds for this post are available until 31 December 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 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 George Malliaras (gm603@cam.ac.uk) for queries of a technical nature related to the role, or for questions on the application process, please contact Kirsty Shepherd (kjs64@cam.ac.uk).

Please quote reference NM44788 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 Principal Research Associate (PRA) in the Department of Engineering, to work on Probabilistic Machine Learning. The post holder will be located in Central Cambridge, Cambridgeshire, UK.

We seek to appoint an independent researcher to develop and drive a research program in probabilistic machine learning or adjacent areas. This position will contribute to the research programme "Advancing Modern Data-Driven Robust AI" funded by UKRI through a Turing AI World-Leading Fellowship.

The programme aims to understand and improve modern machine learning methods primarily by casting them in a probabilistic, information-theoretic, causal inference framework. More specifically, the programme is focussed on four areas: (1) Robustness, (2) Integrating symbolic and statistical frameworks, (3) Scalable probabilistic inference methods and (4) A Theory of Generalisation and Transfer Learning. For this position, preference will be to select applicants with expertise in probabilistic and statistical methods.

This PRA will work primarily with Professor Zoubin Ghahramani and Professor Simon Godsill at the Information Engineering Division alongisde other members of the Machine Learning Groups.

The core responsibilities include planning and conducting research in alignment with one or multiple components of the research program, ideally focussing on robustness and scalable probabilistic inference. Additional responsibilities include developing research objectives and proposals, presentations and publications, assisting with the supervision of research students, liaising and networking with colleagues and students, and planning and organising research resources and workshops.

Applicants must have been awarded their PhD or equivalent experience in machine learning, computer science, Bayesian mathematics, engineering or related area. For the skills and experience required for this role, please see the 'HR7_Further Particulars' (link below).

Appointment at the level of Principal Research Associate is dependant on the applicant having additional years of significant research experience in a relevant area of research or equivalent industrial experience with proven impact from authored publications.

Salary Ranges: Principal Research Associate: £67,757 - £78,376

Fixed-term: The funds for this post are available until 30 September 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.

Upload your CV and cover letter outlining your relevant past experience, and include contact details for referees in the Upload section of the online application. Additional documents uploaded and not requested will not be considered. Submit your application by midnight on the closing date.

For questions related to the application process, contact: CBL Administrator: cbl-equiries@eng.cam.ac.uk.

Please quote reference NM44790 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 global need for sustainable, efficient, and resilient infrastructure is more pressing than ever. With the UK's ambitious Net Zero commitments and substantial investment in infrastructure projects worldwide, new approaches to infrastructure delivery are crucial. The future of construction lies in leveraging advanced data-centric techniques to transform the way we design, build, and manage infrastructure systems.

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

EPSRC DLA studentships are fully-funded (fees and maintenance) for students eligible for Home fees. EU and international students may be considered for a small number of awards at the Home fees rate. Full eligibility criteria can be found via the following link; https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status.

To apply for this studentship, please send your two page CV, including details of your academic record, to Dr Brian Sheil (bbs24@Cam.ac.uk) to arrive no later than 24 February 2025.

Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. The applicant portal can be accessed via: www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg. The funding is conditional on submitting this application before 24 February 2025.

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

Aircraft are a unique and important source of fine particle emissions, producing particles generally smaller than those from other sectors. These particles contribute to both air pollution and climate change, and their properties are expected to change substantially with the use of alternative fuels, making their understanding a critical challenge in sustainable aviation decisions.

This PhD project will combine computational and experimental approaches to better characterise these emissions and develop an understanding of their evolution. The selected candidate will develop and apply a numerical model to simulate the particle evolution from the engine exhaust, through the plume, to the surrounding atmosphere. Real-world measurements will be integral to calibrating and evaluating the model.

Results of this research will address a key gap in understanding aviation's contribution to air pollution and will also quantify the potential air pollution benefits of alternative fuels, supporting the transition to a more sustainable future for the sector.

Applicants should have (or expect to obtain by the start date) at least a good 2.1 and preferably 1st class degree in Engineering, Chemical Engineering or Natural Sciences. Good programming experience/abilities and interest to work in an interdisciplinary research topic are required.

EPSRC DLA studentships are fully-funded (fees and maintenance) for students eligible for Home fees. EU and international students may be considered for a small number of awards at the Home fees rate. Full eligibility criteria can be found via the following link; https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status.

To apply for this studentship, please send your two page CV, (unofficial) transcript(s), and a cover letter/email explaining with your interest and suitability for this studentship to icd23@eng.cam.ac.uk to arrive no later than 10 February 2025. Early applications are strongly encouraged as applications may close early if the position is filled before this date.

Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. The applicant portal can be accessed via: www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg. The funding is conditional on submitting this application before 31 March 2025.

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

A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on structural timber engineering. The post holder will be located in West Cambridge, Cambridgeshire, UK.

The successful candidate will carry out experimental and numerical research to explore the influence of size and system effects on the strength of engineered timber components. The understanding that will be developed in the course of this research will be important for the safe design of very large, engineered timber structures.

The key responsibilities and duties are:

• Conduct research and administrative activities in support of the aims and objectives of the funded research project, with guidance from the Project Lead.
• Continually update knowledge and understanding of field or specialism.
• Design, prepare and carry out experimental and numerical investigations for the generation of new knowledge and understanding.
• Manage own research and administrative activities, with guidance if required.
• Write up research work for presentation and publication.
• Communicate material of a specialist or highly technical nature.

Applicants must have (or be close to obtaining) a PhD or equivalent experience, in structural engineering, materials engineering, material science, or other relevant field. 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 24 months or until 30 March 2027, whichever comes soonest.

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

This vacancy is being studied as part of the Action Research on Research Culture project (ARRC) https://www.bennettinstitute.cam.ac.uk/research/research-projects/research-culture/

You need to submit both a narrative CV and your standard CV, and any other documents requested by the recruiter, such as a cover letter, to apply for this post, regardless of your decision to take part in the study.

You should use the Narrative CV template linked here: https://www.bennettinstitute.cam.ac.uk/wp-content/uploads/2022/06/Narrative-CV-Template-Resume-for-Research.docx . Following the template, Your Narrative CV should be structured around these four subheadings: MODULE 1 - How have you contributed to the generation of knowledge? MODULE 2 - How have you contributed to the development of individuals? MODULE 3 - How have you contributed to the wider research community? MODULE 4 - How have you contributed to broader society?

Try not to let your CV go over 3 pages; don't worry if it is shorter. A 25-minute course on preparing a narrative CV from the University of Glasgow can be found here: https://rise.articulate.com/share/NyPk_PNlENdfRS5R5catqqiJzs3woS3Y#/.

Both your Narrative CV and standard CV will be used together to make shortlisting decisions, so don't worry if the Narrative CV format is unfamiliar to you. Your choice of whether to participate in the study will not affect your chance of being appointed: no one involved in the decision making will be told who has agreed to participate until the hiring decision has been made.

After the advertisement has closed, the ARRC team will contact you by email to ask if you are willing to participate in the ARRC study. If you have questions about participation in the ARRC project, please contact: arrcproject@admin.cam.ac.uk

If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of CV format. We will also ask you to fill out a short questionnaire. Full details on the study can be found in the ARRC participant information sheet on the following pages.

You can use the checklist below to help you keep track of all the supporting documents you need to upload to apply for this vacancy.

1. Narrative CV (this must be submitted regardless of your decision to take part in the ARRC study): PLEASE NAME THIS "YourNameNarrativeCV"
   
2. Standard CV: PLEASE NAME THIS "YourNameStandardCV"
   
3. Cover letter outlining how you meet the job criteria and why you want the role: PLEASE NAME THIS "YourNameCoverLetter"
   

Please ensure that you upload your standard Curriculum Vitae (CV), Narrative Curriculum Vitae (CV) and a covering letter 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 Robert Foster rmf41@cam.ac.uk for queries of a technical nature related to the role and Alexandra Roche div-d-coordinator@eng.cam.ac.uk for queries related to the application process.

Please quote reference NM44787 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.