Research Associate/Assistant Positions at Imperial College London 2025

Imperial College London, a global leader in science, engineering, and medicine, invites talented researchers to join its vibrant academic community through a variety of prestigious Research Assistant and Associate positions. These opportunities, spanning innovative fields from AI and quantum computing to environmental sustainability and biomedical research, offer a chance to contribute to groundbreaking projects while advancing your career at a world-renowned institution. Explore the 14 exciting roles below, each designed to drive impactful discoveries and foster professional growth.

General Guidelines

Imperial College London, a world-leading institution, offers a range of Research Assistant and Associate positions across various faculties and departments. These roles are ideal for ambitious researchers seeking to advance their careers in cutting-edge fields. Below are common details applicable to all listed positions:

Benefits:

• Competitive salaries with generous pension schemes.
• 39 days of annual leave (pro-rata for part-time roles).
• Access to sector-leading career support, including mentoring, skills workshops, and networking through the Early Career Researcher Institute (ECRI).
• Opportunities for promotion, professional development, and publishing in high-quality journals.
• Inclusive work culture with staff networks and resources for personal and professional well-being.
• Additional perks may include childcare facilities, staff accommodation, cycle-to-work schemes, and sports centers.

• Equal Opportunity: Imperial is an equal opportunity employer, welcoming applications from all backgrounds. Reasonable adjustments are provided for individuals with disabilities.
• PhD Requirement: Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant with a lower salary range (typically £43,003 – £46,297 per annum).
• Application Process: Apply online via the provided links. For technical issues, contact the support team. Check job descriptions for specific application requirements (e.g., CV, cover letter).
• Additional Documents: Most positions include an Employee Benefits Booklet and job-specific descriptions, accessible via provided links.

Below are 14 exciting research opportunities available at Imperial College London, each with unique focuses and requirements. You can also check Georg Forster Research Fellowship 2026

Research Associate for Territorial Metabolism and Industrial-Urban Symbiosis

Overview

Join the Faculty of Engineering’s Department of Civil and Environmental Engineering at the South Kensington Campus. This full-time, fixed-term position (1 year) is part of the CSSBoost and Theseus Projects, focusing on sustainable resource use through Territorial Metabolism and Water-Energy-Materials-Waste (WEMW) nexus approaches. Salary: £48,056 – £56,345 per annum.

What You’ll Do

• Develop a Territorial Metabolism framework integrated with a WEMW nexus model to optimize resource interconnections across water, energy, materials, and waste domains, mitigating supply risk to enhance resilience.
• Design and deliver a decision-support module based on this modeling approach to inform sustainable decision-making.
• Contribute to project deliverables, reports, and academic publications.
• Collaborate with a multidisciplinary team of researchers, industry stakeholders, and policymakers to ensure practical relevance and impact.

What We’re Looking For

• PhD (or near completion) in Engineering, Environmental Sciences, Applied Mathematics, Computer Science, Systems Modeling, or a closely related discipline.
• Proficiency in one or more programming languages (e.g., Python, R, C++).
• Experience in developing complex, multi-domain models (e.g., system dynamics, agent-based, or techno-economic models).
• Proven experience in leading the integration and deployment of machine learning solutions in industrial or environmental settings.
• Ability to conduct a detailed review of recent literature.

Application Details

• Job Number: ENG03429
• Location: South Kensington Campus (on-site only)
• Closing Date: 18 July 2025
• Apply Here: Apply Now
• Documents: Employee Benefits Booklet, Job Description

Research Assistant in Immunology

Overview

Join the Centre for Inflammatory Disease, Department of Immunology and Inflammation, Faculty of Medicine, at the Hammersmith Campus. This full-time, fixed-term position (24 months), funded by the Academy of Medical Sciences, focuses on immune system development under Professor Petter Brodin’s group. Salary: £43,003 – £46,297 per annum.

What You’ll Do

• Provide technical support for work mainly focusing on the development of immune systems in early life.
• Perform in vitro and ex vivo experiments, including setting up cell cultures, stimulations of cells in whole blood using robotic systems, and analysis by high-dimensional cytometry and SIMOA.

What We’re Looking For

• MSc (or equivalent research, industrial, or commercial experience) in Biology, Biotechnology, or a relevant discipline.
• Knowledge of research methods and statistical procedures.
• Prior experience in flow cytometry, SIMOA, cell cultures, and handling blood samples.
• Practical experience within a research environment and/or publication in relevant and refereed journals.
• Ability to understand, develop, and innovate methods.

Application Details

• Job Number: MED05302
• Location: Hammersmith Campus (on-site only)
• Closing Date: 3 July 2025
• Apply Here: Apply Now
• Documents: Job Description, Employee Benefits Booklet

Research Assistant or Associate in Machine Learning for Imaging

Overview

Join the Biomedical Image Analysis Group, Department of Computing, Faculty of Engineering, at the South Kensington Campus. This full-time, fixed-term position (12 months) focuses on safe AI deployment for medical imaging under Professor Ben Glocker. Salary: £43,003 – £56,345 per annum (Research Assistant: £43,003 – £46,297).

What You’ll Do

• Conduct internationally leading research on the whole spectrum of novel machine learning algorithms and practical medical imaging applications, aiming for impact by addressing computational problems and real-world healthcare challenges.
• Develop and implement new approaches, testing and evaluating methods on real clinical data.
• Create open-sourcing experimental software prototypes.
• Write scientific papers and present research at leading international conferences.
• Engage in national and international collaborations with clinicians, regulators, policymakers, and industry partners.
• For further information on Prof Ben Glocker’s research, please see http://wp.doc.ic.ac.uk/bglocker/projects/.

What We’re Looking For

• PhD (or MSc for Research Assistant) in Machine Learning, Computer Vision, Medical Image Analysis, or a closely related discipline.
• Strong background in machine learning, computer vision, and medical image analysis, with publications in leading international conferences/journals.
• Experience in at least one of: performance monitoring, data distribution shift detection, bias & fairness assessment, stress testing & model robustness, or generative imaging models.

Application Details

• Job Number: ENG03589
• Location: South Kensington Campus (on-site only)
• Closing Date: 3 July 2025
• Apply Here: Apply Now
• Documents: Job Description

See Also: 10 Postdoctoral Research Opportunities at University of Galway, Ireland

Research Associate in AI-Driven Design for Vehicle Components

Overview

Join the Dyson School of Design Engineering, Faculty of Engineering, at the South Kensington Campus. This full-time, fixed-term position (24 months), funded by EPSRC, develops an AI-driven platform for lightweight vehicle components. Salary: £48,056 – £49,895 per annum.

What You’ll Do

• Follow the research work plan defined by the supervisor, including the development of data generation methodologies and pipelines, AI models, and optimisation frameworks, in a timely manner.
• Report research progress in detail during weekly meetings to ensure effective communication and research discussion.
• Ensure timely delivery of project deliverables and achievement of milestones.
• Maintain effective communication with project partners and present at project review meetings.
• Manage computing equipment, software licences, and service subscriptions related to the project or the Group’s relevant research activities.
• Maintain a highly organised and accurate record of data, code, and other results.
• Submit publications to refereed journals.
• Present findings to colleagues and at conferences.
• Provide guidance to staff and students.
• Promote the reputation of the Group, the Department, and the College.
• Undertake appropriate administration tasks.

What We’re Looking For

• PhD (or near completion) in Design Engineering, Mechanical Engineering, Computing, Data Science, Mathematics, Electrical and Electronics Engineering, Aeronautical Engineering, Materials, or a related discipline.
• Expertise in AI in engineering, specifically in applying cutting-edge AI or deep learning techniques and models for physical process and field modelling and/or optimisation, including relevant data generation, analysis, and pre-/post-processing.
• Knowledge of principles and techniques in computational mechanics and mechanics of materials, with a focus on finite element analysis of large deformations (ideally with AI-driven modelling).
• Knowledge of principles and techniques in geometrical modelling, with a focus on versatile 3D surface modelling for vehicle component design (ideally with AI-driven modelling).
• Knowledge of principles and techniques in optimisation for optimal design and production (ideally with AI-driven modelling).
• Knowledge of principles and techniques in uncertainty analysis in the context of process modelling and optimisation (ideally with AI-driven modelling).
• Proficiency in CAD and CAE software, with a focus on vehicle component design and forming applications.
• Excellent code development skills, including proficiency in programming (e.g., Python), version control, debugging, testing, and good software design and documentation practices.
• Excellent written communication skills and the ability to write clearly and succinctly for publication.
• Excellent data management skills, including data processing, organisation, storage, documentation, and ensuring data integrity, reproducibility, and compliance with relevant data management policies.
• Ability to prioritise own work in response to deadlines, with a flexible attitude towards work.
• Willingness to work as part of a team and to be open-minded and cooperative.

Application Details

• Job Number: ENG03588
• Location: South Kensington Campus (hybrid)
• Closing Date: 6 July 2025
• Apply Here: Apply Now

Research Associate in Network AI

Overview

Join the Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Faculty of Engineering, at the South Kensington Campus. Two 50%-time, fixed-term positions (duration not specified), funded by EPSRC, focus on AI/ML for wireless communications and networks. Salary: £48,056 – £56,345 per annum (hybrid).

What You’ll Do

• Plan and carry out research in accordance with the project aims and timeframes, focusing on either:
  • Network AI for Spatial and Temporal Dynamics: Develop efficient AI techniques for optimal resource allocation by capturing spatial and temporal dynamics for network performance and robustness.
  • AI for Wireless Communications: Develop novel AI and ML techniques to support advanced physical-layer techniques (e.g., massive MIMO, beamforming, NOMA, reconfigurable intelligent edge, spectrum sharing) and cross-layer designs, with potential for commercialization via a startup.
• Propose and investigate new techniques, algorithms, and architectures for network design, optimization, and orchestration.
• Verify and characterize system performance both analytically and in realistic simulated testbeds.
• Collaborate and cooperate with other research staff both within and outside Imperial College working on related projects funded by the UK EPSRC.
• Act as the representative for Imperial College in meetings, conference calls, and conferences.
• Present research at conferences, workshops, open days, and meetings, and publish research results in journals.
• Develop a sound understanding of ethical and health and safety regulations, and the responsibilities of themselves and their colleagues.

What We’re Looking For

• PhD (or equivalent for Research Assistant) in Electrical Engineering, Computer Science, Mathematics, or a closely related discipline.
• Experience in machine learning (ML) and/or optimization for communication systems.
• Experience in development, implementation, and verification of ML algorithms in code.
• Knowledge of machine learning and optimization techniques.
• Knowledge of key technologies in wireless communication systems.
• Adept in using MATLAB and Python.
• Adept in formulating technical reports using LaTeX, MS Office, and other relevant tools.
• Ability to organise own work with minimal supervision and prioritise in response to deadlines.

Application Details

• Job Number: ENG03538
• Location: South Kensington Campus (hybrid)
• Closing Date: 4 July 2025
• Apply Here: Apply Now

Research Associate in Biomarker Discovery

Overview

Join Dr. Zoltán Lak’s team in the Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, at the Hammersmith Campus. This full-time, fixed-term role (duration not specified) focuses on biomarker discovery for lung cancer using multi-omics and mass spectrometry. Salary: £48,056 – £56,345 per annum (hybrid).

What You’ll Do

• Optimise and execute LC-MS workflows for the detection of metabolites in human plasma and tissue samples.
• Conduct mass spectrometry imaging to assess spatial metabolite patterns in lung cancer samples.
• Perform statistical and multivariate data analysis in collaboration with bioinformaticians.
• Support the development of clinically relevant biomarker panels through high-quality data generation and interpretation.
• Prepare findings for publication and present results at scientific meetings.
• Work closely with a multidisciplinary team to integrate metabolomic insights into a broader cancer biology framework.

What We’re Looking For

• PhD (or equivalent) in Biology, Biomedical Sciences, Analytical Chemistry, or a closely related discipline.
• At least 5 years of hands-on experience in LC-MS analysis, particularly using Waters platforms and targeted LC-MS data handling software such as Skyline.
• Proven expertise in metabolite sample preparation, MRM assay development, instrument maintenance, and troubleshooting.
• Experience with multivariate statistical methods and data interpretation.
• Strong communication skills and a collaborative mindset.
• Ability to work independently, work based on SOPs, and manage complex experimental workflows.

Application Details

• Job Number: MED05295
• Location: Hammersmith Campus (hybrid)
• Closing Date: 2 July 2025
• Apply Here: Apply Now

Read: EMBO Postdoctoral Fellowships 2025

Research Associate in Machine Learning and Information Theory

Overview

Join the Information Processing and Communications Laboratory, Department of Electrical and Electronic Engineering, Faculty of Engineering, at the South Kensington Campus. This full-time, fixed-term position (up to 24 months) researches machine learning, information theory, and communications. Salary: £48,056 – £56,345 per annum (hybrid).

What You’ll Do

• Carry out independent research in the intersection of machine learning, information theory, and communications, with background and research experience in some or all of communication systems, coding theory, information theory, distributed learning, reinforcement learning, and modern deep learning architectures.
• Actively write and submit publications to top refereed journals and conferences.
• Contribute to attracting external research funding.
• Travel to international conferences with provided allowance.

What We’re Looking For

• PhD (or equivalent research, industrial, or commercial experience) in Electrical and Electronic Engineering, Computer Science, or a closely related discipline.
• Considerable experience in some or all of statistical learning theory, information theory, communication theory, optimisation, and coding theory.
• High level of analytical and computing skills.
• Proven research record and publications in relevant areas, commensurate with career stage.
• Programming experience.
• Excellent communication skills, able to organise work with minimal supervision.
• Fluent in spoken and written English.

Application Details

• Job Number: ENG03583
• Location: South Kensington Campus (hybrid)
• Closing Date: 17 July 2025
• Apply Here: Apply Now
• Documents: Job Description

Research Assistant or Associate in Cryogenic 4D-STEM

Overview

Join the Department of Materials, Faculty of Engineering, at South Kensington and White City Campuses. This full-time, fixed-term position, funded by an ERC Consolidator Grant (DISCO), studies ferroelectric domain walls using cryogenic 4D-STEM. Salary: £43,003 – £56,345 per annum (on-site only).

What You’ll Do

• Plan, conduct, and optimize advanced 4D-STEM experiments at cryogenic temperatures, working with liquid nitrogen and liquid helium sample environments and integrating electrical biasing setups in the microscope to study ferroelectric materials in situ.
• Process and analyse large, multidimensional 4D-STEM datasets, developing or adapting software tools (e.g., Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall structures, extracting meaningful physical insights.
• Work closely with the research team, including Conroy group members, to refine experimental approaches, and engage with collaborators at Forschungszentrum Jülich and Lawrence Berkeley National Laboratory to align experimental protocols and share data.
• Participate in regular project meetings and joint experimental planning.
• Perform original research under the direction of the relevant staff members consistent with the research plans of the PI’s ERC grant.
• Develop research objectives and proposals, contribute to setting the direction of the research project and team, including preparing proposals for funding in collaboration with colleagues.
• Participate in the PI’s collaborative activities to ensure a successful programme of investigation, including attending group meetings and seminars, as well as collaborating with academic and industrial partners.
• Make a significant contribution to the dissemination of research results in leading peer-reviewed journals and present talks or posters at meetings and conferences.
• Ensure good progress of work and keep up-to-date records.
• Provide advice and support to other members of the PI’s group and Royce research groups.
• Work both independently and as part of a larger team of researchers and stakeholders, both internally and externally, to develop new research links and collaborations and engage in knowledge transfer activities.
• Continually update knowledge, understanding, and skills in the research field and act as a mentor to less experienced colleagues.
• Contribute to the training of both undergraduate and postgraduate students, including assisting with supervision.
• Ensure all experiments and lab work comply with institutional health and safety regulations, conduct risk assessments for cryogenic and high-voltage experiments, and adhere to proper handling procedures for liquid nitrogen, liquid helium, and electrical equipment.
• Comply with the College, Division, and Unit safety practices and attend courses on safety when appropriate.
• Undertake any other duties as deemed reasonable by the Head of group, Head of Division/Department/Section.

What We’re Looking For

• PhD (or submitted thesis for Research Associate; first/master’s degree for Research Assistant) in Materials, Physics, Chemistry, or a closely allied discipline.
• Expertise in 4D-STEM data acquisition.
• Expertise in cryogenic (liquid nitrogen and/or helium) atomic scale STEM.
• Knowledge of in situ STEM characterisation.
• Expertise in aberration corrected STEM.
• Wide understanding of surface and interface properties of materials and their characterisation.
• Experience in ferroic phase change characterisation.
• Knowledge of ferroic phase changes.
• Knowledge of electron diffraction.

Application Details

• Job Number: ENG03579
• Location: South Kensington and White City Campuses (on-site only)
• Closing Date: 14 July 2025
• Apply Here: Apply Now
• Documents: Job Description, Employee Benefits Booklet

Research Associate in Civil and Environmental Engineering

Overview

Join the Department of Civil and Environmental Engineering, Faculty of Engineering, at the South Kensington Campus. This full-time, fixed-term position (1 year) works across four EU-funded projects: StreamSTEP, SAFELOOP, CSSBOOST, and CRONUS. Salary: £48,056 – £56,345 per annum (hybrid).

What You’ll Do

• Develop and refine methodologies for collecting, analysing, and interpreting data relevant to the projects’ goals, splitting time 50% FTE between two of the four projects: StreamSTEP (optimizing resource-efficient energy systems), SAFELOOP (enhancing lithium-ion battery safety), CSSBOOST (developing circular systemic solutions), or CRONUS (bioenergy with carbon capture).
• Submit publications to refereed journals.
• Present at international conferences.
• Attract external research funding.

What We’re Looking For

• PhD in Environmental Engineering, Environmental Science (with strong computational focus), Computer Science, Data Science, Mechanical Engineering, or a closely related discipline.
• Proficiency in one or more programming languages (e.g., Python, R, C++).
• Experience with LCA tools (preferably Brightway or equivalent).
• Strong background in data management, including collection, storage, and processing.
• Ability to conduct a detailed review of recent literature.
• Excellent verbal and written communication skills.

Application Details

• Job Number: ENG03545
• Location: South Kensington Campus (hybrid)
• Closing Date: 1 July 2025
• Apply Here: Apply Now
• Documents: Job Description

Research Associate in Earth Observation

Overview

Join the Department of Physics, Faculty of Natural Sciences, at the South Kensington Campus. This full-time, fixed-term position is part of the CLEFCC project, studying longwave energy flows using satellite and hyperspectral data. Salary: £48,056 – £56,345 per annum (on-site only).

What You’ll Do

• Work with a variety of Earth Observation (EO) and modelling tools to investigate whether it is possible to obtain radiative closure across the far and mid-infrared under the range of atmospheric conditions sampled during the WHAFFFERS campaign.
• Evaluate a new ice-cloud property model developed at Texas A&M University, surface emissivity models developed at University of Michigan, and retrievals from NASA’s PREFIRE mission.
• Synthesize a wide variety of EO datasets (ground-based, airborne, and satellite; passive and active) using advanced radiative transfer modelling tools.
• Lead and contribute to high-quality scientific publications documenting findings from the WHAFFFERS dataset.
• Work closely with Professor Brindley and her team, liaising with CLEFCC colleagues throughout the duration of the post.
• Deliver written reports/presentations and submit publications to high-quality refereed journals as appropriate.

See Also: 28 Postdoctoral Opportunities at Chalmers University of Technology 2025

What We’re Looking For

• PhD in Climate Science, Physics, or a relevant discipline, with a track record of producing high-quality research publications and oral presentations.
• Interest in Earth Observation applied to climate science, ideally demonstrating a firm understanding of the essential physics of the Earth’s energy budget.
• Research experience quantitatively interpreting satellite and/or other Earth Observation data, including uncertainty analysis.
• Research experience applying inverse techniques to derive geophysical variables from Earth Observation data, ideally involving the simulation of hyperspectral radiances.
• Experience applying quantitative methods to Earth Observation datasets using a scientific computing programming language such as Python, IDL, MATLAB, or equivalent.
• Demonstrable ability to plan the detail of research and show creativity and physical insight in employing analytical and quantitative research skills.

Application Details

• Job Number: NAT01980
• Location: South Kensington Campus (on-site only)
• Closing Date: 8 July 2025
• Apply Here: Apply Now
• Documents: Job Description

Research Associate in Digital Musical Instrument Design and Analysis

Overview

Join the Dyson School of Design Engineering, Faculty of Engineering, at the South Kensington Campus. This part-time (0.4 FTE), fixed-term position (24 months) is part of the RUDIMENTS project, exploring digital musical instruments with AI. Salary: Pro-rata of £48,056 – £56,345 per annum (hybrid).

What You’ll Do

• Work on Work Package 5 of the RUDIMENTS project: “Rich media dissemination: instrument design as artistic conversation”.
• Work closely with musicians and technologists to design, deploy, and evaluate new music technologies.
• Plan and deliver research activities such as conferences, workshops, and symposia.
• Help lead an effort to launch a new rich-media publication platform for digital musical instrument research.
• Contribute to research papers and non-academic forms of dissemination.

What We’re Looking For

• PhD (or equivalent research, industrial, or commercial experience) in Human-Computer Interaction (HCI), Electronic Engineering, Design Engineering, Science and Technology Studies (STS), Music Composition/Performance, Musicology, Anthropology, or a related discipline.
• Practical experience within a research environment and/or publication in relevant and refereed journals.
• Professional experience as a musician or sound artist, working with both traditional instruments and new technologies.
• Experience in producing public events such as exhibitions, performances, or workshops.
• Experience in the design or creation of digital musical instruments or sound installations involving hardware and/or software.
• Familiarity with current literature in musical instrument design, third-wave or entanglement HCI, and related fields such as philosophy or phenomenology.

Application Details

• Job Number: ENG03542
• Location: South Kensington Campus (hybrid)
• Closing Date: 30 June 2025
• Apply Here: Apply Now
• Documents: Job Description

Google DeepMind Academic Fellow, Hosted by the Fleming Initiative

Overview

Join the Department of Computing, Faculty of Engineering, at London campuses. This full-time, fixed-term position (3 years), part of the Google DeepMind Fellowship, focuses on AI and antimicrobial resistance (AMR) with the Fleming Initiative. Salary: £54,063 – £63,797 per annum.

What You’ll Do

• Pursue any research direction at the intersection of AI and antimicrobial resistance (AMR).
• Work collaboratively with researchers in AMR, including physicians, pharmacists, epidemiologists, and/or behavioural scientists, depending on the scope of the proposed project.
• Develop and deliver outreach activities around Computing/AI.
• Participate in a range of public-facing engagement activities run by the Fleming Initiative.

What We’re Looking For

• PhD in Artificial Intelligence (AI), Computer Science, or a related discipline, with a demonstrable interest and understanding of the global threat of AMR.
• Strong role model able to encourage participation in Computer Science and AI with evidence of commitment to outreach.
• Ability and skills to work collaboratively within an interdisciplinary and multiprofessional environment to devise and deliver a programme of impactful research.
• Outstanding communication and interpersonal skills able to bridge the gap between disciplines and between academic and public audiences.

Application Details

• Job Number: ENG03541
• Location: London campuses
• Closing Date: 1 July 2025
• Apply Here: Apply Now
• Documents: Job Description

Research Associate in Hybrid Quantum Computing

Overview

Join the Department of Physics, Faculty of Natural Sciences, at the South Kensington Campus. This full-time, fixed-term position, part of the EPSRC/SNU/KIST project, explores hybrid quantum computing architectures. Salary: Competitive (on-site only).

What You’ll Do

• Explore hybrid quantum computing to make the best use of various physical platforms in combination.
• Characterise noise and inefficiencies and find the minimal amount of quantum resources required to achieve error recovery.
• Work with experimental groups within the consortia.
• Identify concrete problems and develop new theoretical protocols for quantum computing architectures and implementation schemes to perform quantum algorithms with reduced errors.
• Produce independent and original research within the Physics Department.
• Submit publications to refereed journals.
• Help with teaching and administration within the Group.

What We’re Looking For

• PhD (or equivalent research experience) in Physics or a closely related discipline.
• Enthusiasm to produce independent and original research in quantum computing.
• Experience in theoretical quantum computing, protocol development, or error correction techniques.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with experimental groups and contribute to publications.
• Willingness to assist with teaching and administrative duties.

Application Details

• Job Number: NAT01966
• Location: South Kensington Campus (on-site only)
• Closing Date: 30 June 2025
• Apply Here: Apply Now

Research Associate in Engineering Biology

Overview

Join the Department of Life Sciences, Faculty of Natural Sciences, at the South Kensington Campus. This full-time, fixed-term position (3 years) investigates microorganisms to valorize plastic waste. Salary: £48,056 – £56,345 per annum (on-site only).

What You’ll Do

• Identify and develop suitable techniques and apparatus for the collection and analysis of data.
• Publish in high-quality journals and develop materials for oral and poster presentations, effectively communicating research outcomes to colleagues and presenting findings at conferences.
• Actively participate in Group research meetings and internal seminars and contribute to the writing of research grant proposals.
• Provide guidance and direction to undergraduate and postgraduate students, fostering a collaborative and productive research environment.

What We’re Looking For

• PhD (or near completion) in Synthetic Biology, Molecular Biology, Biochemistry, or a related scientific discipline.
• Practical experience in a research environment with a broad range of techniques, including molecular biology, metabolic engineering, analytical methods, and bioinformatics.
• Successful track record of academic publications in refereed journals.
• Knowledge of microbiology, molecular biology, and metabolic engineering, as well as relevant knowledge in bioinformatics and -omics methods.
• Ability to conduct a detailed review of recent literature and develop and apply new concepts.

Application Details

• Job Number: NAT01960
• Location: South Kensington Campus (on-site only)
• Closing Date: 29 June 2025
• Apply Here: Apply Now
• Documents: Job Description

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Source: Official Imperial College London website