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imperial
Imperial College London is a world-leading university located in the heart of London. It is consistently ranked as one of the top universities in the world and it is known for its excellence in teaching and research. Imperial College London is home to many leading academics and researchers, along with 18,000 students from over 140 countries. It offers a wide range of courses and research opportunities across a range of disciplines, including engineering, medicine, business, computing, and the arts. Imperial College London is committed to a culture of innovation and collaboration, and to creating an environment that promotes creativity, excellence and ambition.
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via Imperial College London
posted_at: 1 day agoschedule_type: Part-time
Job description
Job summary
Situated at the heart of London, Imperial College London is a research-focused university that has been consistently ranked among the top ten universities in the world and the top five institutions in Europe in the past ten years.
The Department of Finance at Imperial College Business School is seeking applications for a Pre-doctoral Research Assistant in an area relevant to the department’s research profile. Of particular
Job description
Job summary
Situated at the heart of London, Imperial College London is a research-focused university that has been consistently ranked among the top ten universities in the world and the top five institutions in Europe in the past ten years.
The Department of Finance at Imperial College Business School is seeking applications for a Pre-doctoral Research Assistant in an area relevant to the department’s research profile. Of particular interest are candidates with an interest in Corporate Finance. Applicants must hold an MSc or be near completion in Finance or a related field.
Duties and responsibilities
The successful candidate will work in the ERC project grow that studies the impact of financing frictions on small and medium firm growth and performance.
This position will be suitable for candidates who have recently completed or be near completion of their MSc and wish to further develop their research skills and advance their ongoing research before applying... for PhD programs. Part of the data processing and analysis needs to be performed on site (in Portugal) so will require occasional travel to Portugal.
Essential requirements
You will have excellent data skills (Stata proficiency is required) and ideally you will have some knowledge of the Portuguese language. Previous experience working with Portuguese Administrative data is highly preferred. You will benefit from an active research environment and exposure to leading senior scholars that support the development of a research profile commensurate with a leading business school, whilst gaining valuable teaching experience.
Further information
This is a Part-Time (0.8 FTE) and Fixed Term contract for 18 months.
Should you require any further details on the role please contact: Anna Wilhelme – a.wilhelme@imperial.ac.uk
Documents
• Job Description - Research Assistant.pdf Show more details...
Job summary
Situated at the heart of London, Imperial College London is a research-focused university that has been consistently ranked among the top ten universities in the world and the top five institutions in Europe in the past ten years.
The Department of Finance at Imperial College Business School is seeking applications for a Pre-doctoral Research Assistant in an area relevant to the department’s research profile. Of particular interest are candidates with an interest in Corporate Finance. Applicants must hold an MSc or be near completion in Finance or a related field.
Duties and responsibilities
The successful candidate will work in the ERC project grow that studies the impact of financing frictions on small and medium firm growth and performance.
This position will be suitable for candidates who have recently completed or be near completion of their MSc and wish to further develop their research skills and advance their ongoing research before applying... for PhD programs. Part of the data processing and analysis needs to be performed on site (in Portugal) so will require occasional travel to Portugal.
Essential requirements
You will have excellent data skills (Stata proficiency is required) and ideally you will have some knowledge of the Portuguese language. Previous experience working with Portuguese Administrative data is highly preferred. You will benefit from an active research environment and exposure to leading senior scholars that support the development of a research profile commensurate with a leading business school, whilst gaining valuable teaching experience.
Further information
This is a Part-Time (0.8 FTE) and Fixed Term contract for 18 months.
Should you require any further details on the role please contact: Anna Wilhelme – a.wilhelme@imperial.ac.uk
Documents
• Job Description - Research Assistant.pdf Show more details...
via Imperial College London
posted_at: 1 day agoschedule_type: Full-time
Job description
Job summary
Are you looking to continue your career as a Learning Technologist? We have an opportunity for you!
The Hamlyn Centre for Medical Robotics is seeking a Learning Technologist tosupport the design of E-learning modules and programmes developed at the Hamlyn Centre as part of MedtechONEFoundation, transforming course content developed by subject-matter experts into interactive, engagingand cutting-edge learning experiences
Job description
Job summary
Are you looking to continue your career as a Learning Technologist? We have an opportunity for you!
The Hamlyn Centre for Medical Robotics is seeking a Learning Technologist tosupport the design of E-learning modules and programmes developed at the Hamlyn Centre as part of MedtechONEFoundation, transforming course content developed by subject-matter experts into interactive, engagingand cutting-edge learning experiences for early-stage career researchers. They will provide expert advice on instructional best practice in the use of digital content and learning technology.
Funded by the WellcomeTrust, the MedTechONEproject aims to develop technologies in musculoskeletal health and surgery, addressing robotics, sensingand imaging needs currently unmet in the medical sector.The project activities will be based in the Hamlyn Centre, which itself has strong links to the Departmentsof Surgery & Cancer and Mechanical Engineering. The Hamlyn Centre focuses on... technological innovation with a strong emphasis on clinical translation, resulting in direct patient benefits with global impacts.
Duties and responsibilities
• You will contribute to the educational impact of the MedTechONEproject through the development of new and existing modules and programmes, supporting the delivery and evaluation of digital resources underpinning pedagogical practice.
• You will champion innovation in learning design through applying a variety of analytical techniques and collaboration with colleagues across the College to learn and improve upon current practice.
• You will be a key contributor to informing stakeholders, assisting them in decision making around the pedagogic direction of the centre.
• You will keep abreast of developments in STEM-specific learning technologies in HE and beyond.
Essential requirements
• You should be educated to Degree level or equivalent qualification, ideally in a STEM discipline, with educational experience/knowledge, or have equivalent professional experience.
• You will have experience of working in e-Learning, or in the development of e-learning materials
• You must have experience of Learning Design, Production of assets, Application/Tool Development or Learning Technologies.
• Knowledge of an appropriate technology or platform for teaching, learning and assessment is essential.
Please review the Job Description for the full list of duties and requirements.
Further information
This is a fixed term position up to the 30th June 2025 in the first instance.
Queries relating to the position should be directed to marianne.knight@imperial.ac.uk.
This position is eligible for a hybrid working structure.
To apply, please click “APPLY NOW” to go through to the online application form. Should you have any queries regarding the application process please contact ME-HR.Requests@imperial.ac.uk.
Documents
• Job Description ENG02518.docx Show more details...
Job summary
Are you looking to continue your career as a Learning Technologist? We have an opportunity for you!
The Hamlyn Centre for Medical Robotics is seeking a Learning Technologist tosupport the design of E-learning modules and programmes developed at the Hamlyn Centre as part of MedtechONEFoundation, transforming course content developed by subject-matter experts into interactive, engagingand cutting-edge learning experiences for early-stage career researchers. They will provide expert advice on instructional best practice in the use of digital content and learning technology.
Funded by the WellcomeTrust, the MedTechONEproject aims to develop technologies in musculoskeletal health and surgery, addressing robotics, sensingand imaging needs currently unmet in the medical sector.The project activities will be based in the Hamlyn Centre, which itself has strong links to the Departmentsof Surgery & Cancer and Mechanical Engineering. The Hamlyn Centre focuses on... technological innovation with a strong emphasis on clinical translation, resulting in direct patient benefits with global impacts.
Duties and responsibilities
• You will contribute to the educational impact of the MedTechONEproject through the development of new and existing modules and programmes, supporting the delivery and evaluation of digital resources underpinning pedagogical practice.
• You will champion innovation in learning design through applying a variety of analytical techniques and collaboration with colleagues across the College to learn and improve upon current practice.
• You will be a key contributor to informing stakeholders, assisting them in decision making around the pedagogic direction of the centre.
• You will keep abreast of developments in STEM-specific learning technologies in HE and beyond.
Essential requirements
• You should be educated to Degree level or equivalent qualification, ideally in a STEM discipline, with educational experience/knowledge, or have equivalent professional experience.
• You will have experience of working in e-Learning, or in the development of e-learning materials
• You must have experience of Learning Design, Production of assets, Application/Tool Development or Learning Technologies.
• Knowledge of an appropriate technology or platform for teaching, learning and assessment is essential.
Please review the Job Description for the full list of duties and requirements.
Further information
This is a fixed term position up to the 30th June 2025 in the first instance.
Queries relating to the position should be directed to marianne.knight@imperial.ac.uk.
This position is eligible for a hybrid working structure.
To apply, please click “APPLY NOW” to go through to the online application form. Should you have any queries regarding the application process please contact ME-HR.Requests@imperial.ac.uk.
Documents
• Job Description ENG02518.docx Show more details...
via Imperial College London
posted_at: 3 days agoschedule_type: Part-time
Job description
Job summary
Professor Alessandra Russo has recently won a research grant funded by ARL (US) to develop novel neuro-symbolic reinforcement learning algorithms in the context of cooperative multi-agent systems. This post of Research Assistant is to conduct world-leading research on the formalisation, implementation and experimentation of such a framework, in collaboration with UCLA, Cardiff University and University of Ferrara (Italy).
While
Job description
Job summary
Professor Alessandra Russo has recently won a research grant funded by ARL (US) to develop novel neuro-symbolic reinforcement learning algorithms in the context of cooperative multi-agent systems. This post of Research Assistant is to conduct world-leading research on the formalisation, implementation and experimentation of such a framework, in collaboration with UCLA, Cardiff University and University of Ferrara (Italy).
While based at Imperial College, this post-holder will work in collaboration with a large team composed of postdoc researchers and academics from UCLA, Cardiff University and University of Ferrara as well as researchers from ARL).
Duties and responsibilities
More specifically, the research task concerns the development of a neurosymbolic MARL approach based on the concept of reward machine in RL, that leverages a seamless integration of decentralised RL and symbolic machine learning. The work involved theoretical contributions as well... as engineering and experimental work. Problems such as communication among agents, asynchrnonicity of the learning processes and physical constraints (e.g., communication delays) will need to be considered in order to realise a practical MARL system. Evaluation will be performed using a simulation environment of the physical world, provided by the UCLA collaborators, and in the while using Go1 Robots.
Essential requirements
• A Master’s degree (or equivalent) in computer science or a related area.
• Experience in Symbolic machine learning, in particular use of logic-based learning systems.
• Knowledge in Logic, Answer Set Programming and Reinforcement Learning.
• Excellent communication skills and ability to work with others.
• Ability to organise your own work and set priorities to meet deadlines.
Please see job description for full list of requirements.
Further information
In addition to completing the online application, candidates should attach:
• A full CV, with a list of all publications
• A 1-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 Prof. Alessandra Russo: a.russo@imperial.ac.uk
For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk
Documents
• Research Assistant JD.pdf Show more details...
Job summary
Professor Alessandra Russo has recently won a research grant funded by ARL (US) to develop novel neuro-symbolic reinforcement learning algorithms in the context of cooperative multi-agent systems. This post of Research Assistant is to conduct world-leading research on the formalisation, implementation and experimentation of such a framework, in collaboration with UCLA, Cardiff University and University of Ferrara (Italy).
While based at Imperial College, this post-holder will work in collaboration with a large team composed of postdoc researchers and academics from UCLA, Cardiff University and University of Ferrara as well as researchers from ARL).
Duties and responsibilities
More specifically, the research task concerns the development of a neurosymbolic MARL approach based on the concept of reward machine in RL, that leverages a seamless integration of decentralised RL and symbolic machine learning. The work involved theoretical contributions as well... as engineering and experimental work. Problems such as communication among agents, asynchrnonicity of the learning processes and physical constraints (e.g., communication delays) will need to be considered in order to realise a practical MARL system. Evaluation will be performed using a simulation environment of the physical world, provided by the UCLA collaborators, and in the while using Go1 Robots.
Essential requirements
• A Master’s degree (or equivalent) in computer science or a related area.
• Experience in Symbolic machine learning, in particular use of logic-based learning systems.
• Knowledge in Logic, Answer Set Programming and Reinforcement Learning.
• Excellent communication skills and ability to work with others.
• Ability to organise your own work and set priorities to meet deadlines.
Please see job description for full list of requirements.
Further information
In addition to completing the online application, candidates should attach:
• A full CV, with a list of all publications
• A 1-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 Prof. Alessandra Russo: a.russo@imperial.ac.uk
For queries regarding the application process contact Jamie Perrins: j.perrins@imperial.ac.uk
Documents
• Research Assistant JD.pdf Show more details...
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