1. Research Assistant in Molecular Membrane Biology
Job summary
Transporters are essential membrane proteins responsible for uptake and export of nutrients and metabolites across the biological membrane. However, our understanding of how they work at a molecular level is limited. This Research Assistant in Molecular Membrane Biology post forms part of a collaborative BBSRC funded project aiming to obtain greater insights into the dynamics of membrane transporters key to their mechanism of action, and how...
Job listing information Reference NAT01387
Date posted 4 May 2023
Closing date 18 May 2023
Location South Kensington Campus - On site only Position type Full time, fixed term
Salary£38,194 – £41,388 plus benefits Department Department of Life Sciences
Category Researcher / Non Clinical Researcher
Job description
Job summary
Transporters are essential membrane proteins responsible for uptake and export of nutrients and metabolites across the biological membrane. However, our understanding of how they work at a molecular level is limited.
This Research Assistant in Molecular Membrane Biology post forms part of a collaborative BBSRC funded project aiming to obtain greater insights into the dynamics of membrane transporters key to their mechanism of action, and how these dynamics are affected by external factors such as substrate and lipid environment. This particular position will be based in the group of Professor Bernadette Byrne (https://www.imperial.ac.uk/people/b.byrne) in the Department of Life Sciences at Imperial College London and will be dedicated to the production and isolation of different variants of the eukaryotic transporter, UapA, and reconstitution of this protein into lipid mimetic systems called nanodiscs. These will then be analysed by our collaborators in the group of Dr Argyris Politis, University of Manchester.
This position represents an excellent opportunity to be involved in cutting-edge membrane protein research in two world-leading laboratories.
Duties and responsibilities
The post is funded by the BBSRC to investigate the dynamics of the eukaryotic transporter, UapA, required for the protein to effectively transport protein across the membrane using a combination of Hydrogen Deuterium Exchange-Mass Spectrometry (HDX-MS) and Molecular Dynamics simulations.
You will work in close collaboration with a PDRA based in Dr Argyris Politis’ lab at Kings College London. You will be responsible for expression and purification of a range of different UapA constructs. This will involve dealing with large culture volumes and temperature sensitive detergent-solubilised protein and reconstituting this into nanodiscs for HDX-MS analysis. You will generate novel mutants as required and assess the stability and suitability of these for further analysis. You will contribute to the smooth running of the laboratory and help to train and support other members of the group as required.
Essential requirements
You will have experience of working in a life science-focused research lab. You will have specific expertise in expression and isolation of proteins. Experience in handling membrane proteins is desirable but not essential. You will have good written and oral communication skills. You will have good time management skills and the ability to work well independently as well as part of a team. You will have the ability to keep meticulous records of the experiments that you carry out.
Further information
This is a full-time, fixed term appointment until 31 August 2024. You will be based at South Kensington Campus.
Please note this is a re-advertisement; previous applicants need not apply.
Should you require any further details on the role please contact: Professor Bernadette Byrne, b.byrne@imperial.ac.uk.
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
2. Research Assistant / Associate in Computational Fluid Dynamics
Job summary
Applications are invited for a fully funded fixed-term position (until 29 of February 2024) at the Research Assistant / Associate level within the Turbulence Simulation Group in the Department of Aeronautics at Imperial College London (https://www.turbulencesimulation.com/). The project aims to study numerically a turbulent boundary layer and how to manipulate it using wall-normal blowing for skin-friction drag reduction. You will work as...
Job listing informationReference ENG02615
Date posted 3 May 2023
Closing date 17 May 2023
Key information about the roleLocationSouth Kensington Campus - HybridPosition typeFull time, fixed term
Salary£38,194 – £50,834 plus benefitsDepartment Department of Aeronautics
Category Researcher / Non Clinical Researcher
Job description
Job summary
Applications are invited for a fully funded fixed-term position (until 29 of February 2024) at the Research Assistant / Associate level within the Turbulence Simulation Group in the Department of Aeronautics at Imperial College London (https://www.turbulencesimulation.com/). The project aims to study numerically a turbulent boundary layer and how to manipulate it using wall-normal blowing for skin-friction drag reduction.
You will work as part of a larger team across Newcastle University and Imperial College London thanks to a £1.4M EPSRC grant, which is supported by Airbus, the Aerospace Technology Institute and the Department for Transport.
Duties and responsibilities
Perform high-fidelity simulations of a turbulent boundary layer flow with and without wall-normal blowing using the Xcompact3d framework (https://github.com/xcompact3d/).
Perform modal decomposition analysis to investigate the flow mechanisms responsible for the skin-friction drag reduction when wall-normal blowing is active
Contribute to the framework Xcompact3d (https://github.com/xcompact3d/).
Write progress reports and prepare results for publication
Essential requirements
Applicants must have a strong publication record preferably with relevant experience in computational fluid dynamics.
Those appointed at Research Associate level
Hold a PhD (or equivalent) in Engineering, Applied Mathematics, Computing, or a closely related discipline.
Those appointed at Research Assistant level
A first / masters degree (or equivalent) in Engineering, Applied Mathematics, Computing, or a closely related discipline.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
Further information
This post is full time and fixed term until 29 February 2024.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £38,194 - £41,388 per annum.
Should you require any further details on the role please contact: Sylvain Laizet & Andrew Wynn – s.laizet@imperial.ac.uk, a.wynn@imperial.ac.uk.
For queries regarding the recruitment process please contact Lisa Kelly: l.kelly@imperial.ac.uk
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
3. Research Assistant/Associate in Patient Safety
Job summary
The Institute of Global Health Innovation (IGHI) is one of the seven global challenge institutes at Imperial College. Housed within the Faculty of Medicine, the Institute is well placed to leverage the College’s wealth of multidisciplinary talent to innovate across science, technology, design and policy. By doing so, the Institute’s goal is to develop evidence-based, cutting-edge solutions to the issues faced by healthcare systems and to...
Job listing informationReference MED03612
Date posted 28 April 2023
Closing date 26 May 2023
Key information about the roleLocationSt Mary's Campus - HybridPosition typeFull time, fixed term
Salary£38,194 – £48,736 plus benefitsDepartment Institute of Global Health Innovation
Category Researcher / Clinical Researcher
Job description
Job summary
The Institute of Global Health Innovation (IGHI) is one of the seven global challenge institutes at Imperial College. Housed within the Faculty of Medicine, the Institute is well placed to leverage the College’s wealth of multidisciplinary talent to innovate across science, technology, design and policy. By doing so, the Institute’s goal is to develop evidence-based, cutting-edge solutions to the issues faced by healthcare systems and to create transformational improvement in the quality and equity of patient care, population health and wellbeing. The Institute attracts a strong cohort of students and scholars across its educational and academic programmes and continues to advance a broadening research agenda, through its five interdisciplinary centres of excellence. One of which is the recently awarded National Institute of Health and Care Research (NIHR) North West London Patient Safety Research Collaboration (NWL PSRC).
The unit, led by Professors Bryony Dean Franklin and Ara Darzi, is seeking to appoint a Research Assistant/Associate to conduct and support of research projects on topics of relevance for the Centre, with a specific focus on priorities such as improving patient safety for at-risk groups and workforce planning.
Duties and responsibilities
As a core member of the Centre, you will aim to make a real-world impact on the safety of care given to patients globally. Your responsibilities will include supporting the development and evaluation of complex interventions, with a focus on our at-risk groups (e.g. frailty), engaging in collaborations across themes and identify funding opportunities. You will provide expertise in mixed-methods or qualitative research to support the development of complex interventions worldwide. You will assist with data analysis, writing of reports and academic projects, and presenting findings to colleagues and stakeholders. The role will also include contributing to the Institute’s educational offerings, including the development of the MSc in Patient Safety.
Essential requirements
Research Associate: Hold or be about to obtain a PhD in health research or a closely related discipline, or equivalent research, industrial or commercial experience
Research Assistant: Near completion of a PhD, or a Master’s degree (or equivalent) in health research or a closely related discipline, or equivalent research, industrial or commercial experience
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
You will have (advanced) knowledge of research methods, particularly in mixed-methods and/or qualitative research, including interviews, focus groups and thematic analysis.
You will possess excellent communication skills and be confident in developing good working relationships with a wide range of stakeholders. In addition, you will be a motivated team player, working together with the goal to achieve the Centres objectives.
Further information
This post is offered on a full time and fixed-term basis for one year and based at the St. Mary’s Campus (Paddington).
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £38,194 - £41,388 per annum.
Should you require any further details on the role please contact: Eleni Daniels, PSTRC Centre Manager – eleni.daniels17@imperial.ac.uk.
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
4. Research Assistant/ Associate in Physics-Aware Machine Learning for Wind Farm Optimisation
Job summary
Applications are invited for the role of Research Assistant / Associate in physics-aware machine learning for wind farm optimisation. This is a fully-funded post until 31 March 2025. This position is funded by a UKRI AI for Net Zero grant. The over-arching goal is to develop machine learning methods that are aware of the physics of the problem for the realization of real-time digital twins of engineering systems. Applications involve fluid...
Job listing informationReference ENG02610
Date posted 28 April 2023
Closing date 28 May 2023
Key information about the roleLocationSouth Kensington Campus - HybridPosition typeFull time, fixed term
Salary£38,194 – £50,834 plus benefitsDepartment Department of Aeronautics
Category Researcher / Non Clinical Researcher
Job description
Job summary
Applications are invited for the role of Research Assistant / Associate in physics-aware machine learning for wind farm optimisation. This is a fully-funded post until 31 March 2025. This position is funded by a UKRI AI for Net Zero grant. The over-arching goal is to develop machine learning methods that are aware of the physics of the problem for the realization of real-time digital twins of engineering systems. Applications involve fluid mechanics and nonlinear partial differential equations.
You will develop physics-aware machine learning for the optimisation of wind farm (layout optimisation and maximisation of power). The position involves computational fluid dynamics, high performance computing and a good understanding of turbulent flows. You will also contribute to maintaining and developing the wind farm simulator Winc3d which is part of the Xcompact3d framework of solvers based on finite-difference methods.
Duties and responsibilities
Develop physics-aware machine learning methods for optimisation of wind farms taking advantage of GPUs
Develop physics-aware machine learning methods for optimisation of unsteady flows.
Contribute to adding new capabilities to the Xcompact3d framework.
Disseminate research with peer-reviewed publications and conference presentations (with the PI)
Essential requirements
PhD (or equivalent doctorate degree) in Engineering, Applied Mathematics, Computing, or a closely related discipline.
Practical experience within a research environment and/or publication in relevant and refereed journals.
Broad range of techniques including fluid mechanics, data-driven methods, programming and high performance computing.
Knowledge of fluid mechanics and optimisation.
Further information
This post is a full time, fixed-term contract until 31 March 2025.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £38,194 - £41,388 per annum.
Should you require any further details on the role please contact: Prof Sylvain Laizet s.laizet@imperial.ac.uk
For queries regarding the recruitment process please contact Lisa Kelly: l.kelly@imperial.ac.uk
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
5. Research Assistant / Associate in Machine Learning of Road Vehicle Aerodynamics
Job summary
Applications are invited the role of Research Assistant / Associate in Machine Learning of Road Vehicle Aerodynamics fully-funded until 31 March 2025. This position is funded by a UKRI AI for Net Zero grant. The over-arching goal is to develop machine learning methods that are aware of the physics of the problem for the realization of real-time digital twins of engineering systems. Applications involve fluid mechanics and nonlinear partial...
Job listing informationReference ENG02611
Date posted 28 April 2023
Closing date 28 May 2023
Key information about the roleLocationSouth Kensington Campus - HybridPosition typeFull time, fixed term
Salary£38,194 – £50,834 plus benefitsDepartment Department of Aeronautics
Category Researcher / Non Clinical Researcher
Job description
Job summary
Applications are invited the role of Research Assistant / Associate in Machine Learning of Road Vehicle Aerodynamics fully-funded until 31 March 2025. This position is funded by a UKRI AI for Net Zero grant. The over-arching goal is to develop machine learning methods that are aware of the physics of the problem for the realization of real-time digital twins of engineering systems. Applications involve fluid mechanics and nonlinear partial differential equations.
You will develop and experimentally demonstrate machine learning flow control techniques for the optimisation of active road vehicle aerodynamics. Data-driven techniques (i.e. Real-Time Reinforcement Learning) will be employed to enable the discovery of optimal control algorithms of flow control devices and platooning formations directly from wind tunnel experiments in fully turbulent regimes. Funding is available for travelling and experiments in the flagship 10x5 National Wind Tunnel Facility at Imperial College.
Duties and responsibilities
Develop and experimentally demonstrate real-time machine learning methods for optimisation of road vehicle aerodynamics including the design, set-up and undertaking of wind tunnel experiments.
Develop physics-aware machine learning methods for optimisation of turbulent flows.
Disseminate research with peer-reviewed publications and conference presentations (with the PI)
Essential requirements
PhD (or equivalent doctorate degree) in Engineering, Applied Mathematics, Computing, or a closely related discipline.
Experience in a broad range of techniques including theoretical and experimental fluid mechanics, data-driven methods and programming
Knowledge of programming, dynamical systems, fluid mechanics and optimisation as well as mathematical skills.
Further information
This post is a full time, fixed-term contract until 31 March 2025.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £38,194 - £41,388 per annum.
Should you require any further details on the role please contact: Dr Georgios Rigas g.rigas@imperial.ac.uk
For queries regarding the recruitment process please contact Lisa Kelly: l.kelly@imperial.ac.uk
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
6. Research Assistant / Research Associate in Bayesian Optimisation & Experimental Design
Job summary
The post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) will conduct research at the intersection of computational optimisation, machine learning, and experimental design of new chemistry. We will develop Bayesian optimisation and other active learning approaches for experimental design with a focus on real-world systems. While most of the work will be computational or mathematical, the successful candidate will...
Job listing informationReference ENG02581
Date posted 24 April 2023
Closing date 15 May 2023
Key information about the roleLocationSouth Kensington Campus - On site onlyPosition typeFull time, fixed term
Salary£38,194 – £50,834 plus benefitsDepartment Department of Computing
Category Researcher / Non Clinical Researcher
Job description
Job summary
The post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) will conduct research at the intersection of computational optimisation, machine learning, and experimental design of new chemistry. We will develop Bayesian optimisation and other active learning approaches for experimental design with a focus on real-world systems. While most of the work will be computational or mathematical, the successful candidate will also have the opportunity to visit BASF in Ludwigshafen, Germany for three months to try out the new algorithms in the lab.
The successful candidate will collaborate with Professor Ruth Misener and Dr Calvin Tsay in the Imperial College London Department of Computing and will be a member of the broader EPSRC-funded project IConIC (Innovative Continuous Manufacturing of Industrial Chemicals)
Duties and responsibilities
In addition to publishing research in top optimisation and machine learning venues, the Research Assistant/Associate will be expected to contribute towards developing and maintaining open source software related to this project (https://github.com/cog-imperial).
- To propose and investigate new techniques and algorithms for experimental design.
- To plan and carry out research in accordance with the project aims and timeframes.
- To collaborate and cooperate with other research staff and industrial partners of the
same project and other AI for Science projects funded by the UK EPSRC.
- To act as the representative for Imperial College in meetings, conference calls and
- To present research at conferences, workshops, open days, and publish research
results in journals.
- To liaise with other members of the team and cooperate with them for the benefit of the project objectives.
- To collaborate with industrial project partners.
- To collaborate with other researchers and staff within IConIC and participate in IConIC activities.
- To develop contacts and research collaborations in order to further the project aims.
- Assist in the supervision of undergraduate and postgraduate research students and research
assistants as required.
- To take initiatives in the planning of research.
- To maintain highly organised and accurate record of experimental work.
- To develop and maintain open-source software together with other group members.
Essential requirements
To apply for this position, you must have a proven strong publication track-record in machine learning, computational optimisation, process systems engineering, or a closely related discipline. Algorithms development experience is also essential.
You should also have:Research Associate level:A PhD (or equivalent) in an area pertinent to the subject area, e.g., Computer Science, Applied Mathematics, Engineering Physics or Chemical Engineering. Alternatively, equivalent research or industrial experience.
Proven publication track-record, in one or more of the following areas: computational optimisation, open-source software, machine learning
Research Assistant level:Be close to completion of a PhD (or equivalent) in an area pertinent to the subject area, i.e., Computer Science, Applied Mathematics, Engineering Physics or Chemical Engineering. Alternatively, equivalent research or industrial experience.
Completion of courses or project work in one or more of the following areas: computational optimisation, open-source software, machine learning.
See job description for full list of requirements.
Further information
For further information on the Prof Misener’s and Dr Tsay’s research and related projects in the Computational Optimisation Group (http://optimisation.doc.ic.ac.uk), see http://wp.doc.ic.ac.uk/rmisener/ and https://www.doc.ic.ac.uk/~ctsay/
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £38,194 - £41,388 per annum.
How to apply - In addition to completing the online application, candidates should attach:A full CV, with a list of all publications
A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant
Informal enquiries related to the position should be directed to Professor Ruth Misener r.misener@imperial.ac.uk
For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk
DocumentsJD RuthMisener ICONIC Apr23.pdf
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
7. Research Assistant / Research Associate in Safe Reinforcement Learning through Formal Methods
Job summary
This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct world-leading research on safe reinforcement learning through formal methods, under the direction of Dr Francesco Belardinelli, within the EPSRC New Investigator Award An Abstraction-based Technique for Safe Reinforcement Learning. Autonomous agents learning to act in unknown environments have been attracting research interest due to their wider...
Job listing informationReference ENG02573
Date posted 30 March 2023
Closing date 31 May 2023
Key information about the roleLocationSouth Kensington Campus - On site onlyPosition typeFull time, fixed term
Salary£38,194 – £43,093 plus benefitsDepartment Department of Computing
Category Researcher / Non Clinical Researcher
Job description
Job summary
This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct world-leading research on safe reinforcement learning through formal methods, under the direction of Dr Francesco Belardinelli, within the EPSRC New Investigator Award An Abstraction-based Technique for Safe Reinforcement Learning.
Autonomous agents learning to act in unknown environments have been attracting research interest due to their wider implications for AI, as well as for their applications in key domains, including robotics, network optimisation, resource allocation. Currently, one of the most successful approaches is reinforcement learning (RL). However, to learn how to act, agents are required to explore the environment, which in safety-critical scenarios means that they might take dangerous actions, possibly harming themselves or even putting human lives at risk. Consequently, reinforcement learning is still rarely used in real-world applications, where multiple safety-critical constraints need to be satisfied simultaneously.
The main goal of this project is to develop Safe through Abstraction (multi-agent) Reinforcement learning (StAR), a framework to formally guarantee the safe behaviour of agents learning to act in unknown environments, through the satisfaction of safety constraints by the policies synthesized through RL, both at training and test time. We aim at combining RL and formal methods to ensure the satisfaction of constraints expressed in (probabilistic) temporal logic (PTL) in multi-agent environments.
The post is based in the Department of Computing at Imperial College London. This is a leading department of Computer Science among UK Universities. The department has achieved top results in each of the research assessment exercises undertaken by the Higher Education Funding Council for England. The successful applicant will join the Formal Methods in AI (FMAI) research group, led by Dr Belardinelli. FMAI is a friendly, vibrant, multi-national team working on various aspects of safe and trustworthy RL (for further information on the group and related projects, see: https://www.doc.ic.ac.uk/~fbelard/).
Duties and responsibilities
The position offers an exciting opportunity for conducting internationally leading and impactful research in safe reinforcement learning. The Research Assistant/Associate will be responsible for researching and delivering abstraction-based methods to guarantee the safe and trustworthy behaviour of autonomous agents based on the most widely-used RL algorithms. They will also be expected to submit publications to top-tier conferences and journals in AI.
Essential requirements
To apply for this position, you must have a strong computer science background with a focus on AI, have experience, including a proven publication track-record, in at least two of the following areas, as well as ability and willingness to become familiar with the other: Logic-based languages and formal methods; Formal verification, including model checking; (safe) Reinforcement. You should also have:A PhD degree (or close to complettion) in computer science or a related area.
Familiarity with standard reinforcement learning libraries/data analysis.
Excellent communication skills and ability to work with others.
Ability to organise your own work and set priorities to meet deadlines.
*Candidates who have not yet been officially awarded their PhD but are in the process of obtaining one will be appointed as Research Assistant within the salary range £38,194 to £41,388 per annum.
Further information
In addition to completing the online application, candidates should attach:A full CV, with a list of all publications
A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
Informal enquiries related to the position should be directed to Dr. Francesco Belardinelli: francesco.belardinelli@imperial.ac.uk.
For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
8. Research Assistant/ Research Associate
Job summary
You will work on the Identifying Digital Endpoints to Assess Fatigue, Sleep and Activities of Daily Living in Neurodegenerative Disorders and Immune-mediated Inflammatory Diseases (IDEA-FAST) project. The IDEA-FAST project is a 5-year IMI2 project run by a consortium of 46 partners across 15 countries in Europe. The project aims to identify digital endpoints that provide reliable, objective, and sensitive evaluation of activities of daily life...
Job listing informationReference ENG02554
Date posted 28 March 2023
Closing date 14 May 2023
Key information about the roleLocationSouth Kensington Campus - HybridPosition typeFull time, fixed term
Salary£43,093 – £50,834 plus benefitsDepartment Faculty of Engineering
Category Researcher / Non Clinical Researcher
Job description
Job summary
You will work on the Identifying Digital Endpoints to Assess Fatigue, Sleep and Activities of Daily Living in Neurodegenerative Disorders and Immune-mediated Inflammatory Diseases (IDEA-FAST) project. The IDEA-FAST project is a 5-year IMI2 project run by a consortium of 46 partners across 15 countries in Europe. The project aims to identify digital endpoints that provide reliable, objective, and sensitive evaluation of activities of daily life (ADL), disability and health related quality of life (HRQoL) for neurodegenerative diseases.
You will contribute to the development of the state-of-the-art data management platform and analytical environment to address the needs of data standardisation, integration, sharing, analysis, and archive for the project. This will ensure clinical data (e.g., demographics, diagnosis, laboratory tests, clinical events, medications, patient-reported outcomes) and data collected from various digital devices (e.g., physical/bio-physiological data, EEG data, mobile data) generated from the project meet quality and compliance requirements and enable project participants to perform integrated data modelling and analysis to identify digital endpoints for fatigue and sleep disturbances. You will also be expected to contribute to the development of novel algorithms for identifying digital endpoints, and the implementation of these algorithms into the platform’s analytical environment. You will work together with research teams at the Data Science Institute and other IDEA-FAST project partners to deliver the project deliverables.
Duties and responsibilities
Key Responsibilities To contribute to development of IDEA-FAST data management platform, data standards and analytical environment.
To curate and integrate data collected during the project with existing datasets on the developed platform.
To develop data analytical pipelines for clinical and sensor data collected in IDEA-FAST.
To develop and integrate data analytical pipelines into the IDEA-FAST data analytics environment.
To attend regular internal and external project meetings and report working progress.
To promote research internally and externally at national and international conferences by presentation, publication, and demonstration.
To attend relevant workshops and conferences as necessary.
To promote the reputation of the Groups, the Departments, and the College.
To undertake any necessary training as required.
Any other duties commensurate with the grade of the post as directed by the line manager / supervisor.
Other Duties:To undertake any necessary training and/or development
To undertake appropriate administration tasks
To attend relevant meetings
Where Imperial or funder conditions necessitate, you will be required to complete timesheets for your work on projects in a timely manner.
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
Essential requirements
Research Associate: Hold a PhD in computer science, software engineering,
bioinformatics or a closely related discipline.
Software development experience with Java or Python
Experience in building and deploying machine learning models
Experience with database engines (MongoDB, PostgreSQL/MySQL)
Experience in handling/processing large and complex datasets
Practical experience within a research environment and/or publication in relevant and
refereed journals
Good knowledge in statistics and machine learning
Good understanding of data management procedure and tools
Good knowledge of modern programming paradigm and IT concepts (cloud
computing, parallel computing) management technology (e.g. Docker, Openstack)
Strong coding skills and problem-solving skills
A willingness to undertake formal and self-directed training and learn/adopt new
procedures
Excellent communication skills to collaborate with researchers and staff at the DSI
and other IDEA-FAST project partners to best, understood requirements, and
summarise data processing/analysis via written/oral communication
Ability to work in a fast-paced, collaborative, and iterative development environment
Punctuality, reliability and the ability to work in a team
Commitment to software quality and a strong attention to detail
Experience of planning and progressing work to agreed timescales within general
guidelines. Able to manage multiple varied activities simultaneously
Ability to interact successfully with others to learn and teach new skills
Ability to present themselves at conferences and seminars with authority and
coherence. Able to orally present complex materials to co-workers and partners
Willingness to work as part of a team and to be open-minded and cooperative
Flexible attitude towards work
Discipline and regard for confidentiality and security at all times
Willingness to undertake any necessary training for the role
Further information
For queries regarding the application process contact Arek Ciechacki at a.ciechacki@imperial.ac.uk
The College is currently trialling a Work Location Framework until early 2023. Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite. The opportunity for hybrid working will be discussed at interview.
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
DocumentsJob Description.pdf
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Additional information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: Respect
Collaboration
Excellence
Integrity
Innovation
In addition to the above, employees are required to observe and comply with all College policies and regulations.
We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
For technical issues when applying online please email support.jobs@imperial.ac.uk.
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