265 Microsoft Research jobs in Cambridgeshire
Senior Researcher: Machine Learning for Healthcare - Microsoft Research
Cambridge, Eastern
Microsoft Corporation
Posted 7 days ago
Job Viewed
Job Description
Are you interested in working on cutting-edge AI research to solve some of the most pressing problems of our society? Join our vibrant team and help us revolutionize healthcare with multi-modal AI at Microsoft Research based in Cambridge (UK).
As part of the Multi-modal AI Team at Microsoft Research Health Futures you will join an innovative, collaborative team at the intersection of AI and Healthcare. We partner with top medical centers to develop and understand state-of-the-art AI models based on multi-modal LLMs.
You will be responsible for the design, development, and execution of an exciting research agenda in collaboration with other machine learning, engineers, clinicians, social scientists, and designers at Health Futures. To learn more about this opportunity, please visit: ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and multi-modal AI The responsibilities will include:
+ Advance multi-modal medical AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical work-flows faster and safer and improve patient outcomes.
+ Collaborate on design, implementation and evaluation of multi-modal machine learning solutions which consider key clinical factors and responsible AI.
+ Support the strategic planning of the team by providing engineering and research leadership.
+ Engage with external and internal collaborators to drive real world impact.
**Qualifications**
Qualifications
+ PhD in Machine Learning, Computer Science or related fields or equivalent experience.
Experience
Required
+ Relevant years of experience working on a multidisciplinary team working on AI research for real world impact.
+ Hands-on experience with large scale deep learning models and libraries (e.g., PyTorch, TensorFlow).
+ Strong software development skills.
Preferred
+ Publications at top conferences and journals such as: NeurIPS, ICML, ICLR, MICCAI, Nature, CVPR, ICCV, EMNLP, ACL.
+ Experience with medical domains such as radiology, digital pathology, genetics, immunology.
+ Machine learning expertise in multi-modal learning, large language models (e.g., alignment), reinforcement learning and/or domain adaptation and data-efficient learning.
#Research
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
As part of the Multi-modal AI Team at Microsoft Research Health Futures you will join an innovative, collaborative team at the intersection of AI and Healthcare. We partner with top medical centers to develop and understand state-of-the-art AI models based on multi-modal LLMs.
You will be responsible for the design, development, and execution of an exciting research agenda in collaboration with other machine learning, engineers, clinicians, social scientists, and designers at Health Futures. To learn more about this opportunity, please visit: ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and multi-modal AI The responsibilities will include:
+ Advance multi-modal medical AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical work-flows faster and safer and improve patient outcomes.
+ Collaborate on design, implementation and evaluation of multi-modal machine learning solutions which consider key clinical factors and responsible AI.
+ Support the strategic planning of the team by providing engineering and research leadership.
+ Engage with external and internal collaborators to drive real world impact.
**Qualifications**
Qualifications
+ PhD in Machine Learning, Computer Science or related fields or equivalent experience.
Experience
Required
+ Relevant years of experience working on a multidisciplinary team working on AI research for real world impact.
+ Hands-on experience with large scale deep learning models and libraries (e.g., PyTorch, TensorFlow).
+ Strong software development skills.
Preferred
+ Publications at top conferences and journals such as: NeurIPS, ICML, ICLR, MICCAI, Nature, CVPR, ICCV, EMNLP, ACL.
+ Experience with medical domains such as radiology, digital pathology, genetics, immunology.
+ Machine learning expertise in multi-modal learning, large language models (e.g., alignment), reinforcement learning and/or domain adaptation and data-efficient learning.
#Research
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
0
Senior Applied Scientist in Materials - Microsoft Research AI for Science
Cambridge, Eastern
Microsoft Corporation
Posted 14 days ago
Job Viewed
Job Description
Microsoft Research AI for Science is seeking a talented applied scientist to join our mission of accelerating scientific discovery through AI. In the materials team, we are building next generation foundational AI capabilities to accelerate the design of novel materials. You can learn more about our AI emulator MatterSim ( and generator MatterGen ( in our blog.
This role is an exceptional opportunity to bring our foundational AI capabilities toward real-world impact. You will work closely with experimental partners and apply our foundational AI models toward solving materials design problems. You will work with a highly collaborative, interdisciplinary, and diverse global team of researchers and engineers to bridge the gap between computation and experiments.
Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
This post will be open until the position is filled.
**Responsibilities**
+ Work closely with experimental partners and translate foundational AI capabilities towards real-world impact.
+ Learn to interpret experimental data and translate them to actionable insights for model development.
+ Apply machine learning models, including generative models and machine learning force fields, to speed up the discovery of novel materials.
+ Generate domain-specific datasets and fine-tune machine learning models.
+ Collaborate with experimental partners to validate computationally designed materials candidates in laboratories.
+ Prepare technical papers, presentations, and open-source releases of research code.
**Qualifications**
Qualifications:
Required:
+ PhD in experimental or computational materials science, condensed matter physics, machine learning, or related area, or comparable industry experience.
Experience:
+ Experience in applying machine learning models to solve real-world problems in materials science.
+ Proficiency in collaborative code development in Python on shared codebases.
+ Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).
+ Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.
Preferred:
+ Hands-on experience in solid state synthesis and characterization techniques.
+ Experience in deeply collaborating with experimental groups and applying computational materials design approaches to discover novel materials.
+ Experience in training and fine-tuning machine learning force fields or generative models.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This role is an exceptional opportunity to bring our foundational AI capabilities toward real-world impact. You will work closely with experimental partners and apply our foundational AI models toward solving materials design problems. You will work with a highly collaborative, interdisciplinary, and diverse global team of researchers and engineers to bridge the gap between computation and experiments.
Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
This post will be open until the position is filled.
**Responsibilities**
+ Work closely with experimental partners and translate foundational AI capabilities towards real-world impact.
+ Learn to interpret experimental data and translate them to actionable insights for model development.
+ Apply machine learning models, including generative models and machine learning force fields, to speed up the discovery of novel materials.
+ Generate domain-specific datasets and fine-tune machine learning models.
+ Collaborate with experimental partners to validate computationally designed materials candidates in laboratories.
+ Prepare technical papers, presentations, and open-source releases of research code.
**Qualifications**
Qualifications:
Required:
+ PhD in experimental or computational materials science, condensed matter physics, machine learning, or related area, or comparable industry experience.
Experience:
+ Experience in applying machine learning models to solve real-world problems in materials science.
+ Proficiency in collaborative code development in Python on shared codebases.
+ Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).
+ Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.
Preferred:
+ Hands-on experience in solid state synthesis and characterization techniques.
+ Experience in deeply collaborating with experimental groups and applying computational materials design approaches to discover novel materials.
+ Experience in training and fine-tuning machine learning force fields or generative models.
#Research #AI for Science
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
1
Lead Research & Development Scientist (Biotech)
CB2 1GA Cambridge, Eastern
£75000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a groundbreaking biotechnology firm situated near Cambridge, Cambridgeshire, UK , is seeking a highly innovative Lead Research & Development Scientist to spearhead their remote research initiatives. This is a fully remote position requiring exceptional scientific leadership, strategic thinking, and a proven ability to drive R&D projects from concept to completion. You will be responsible for guiding a talented team of scientists in the development of novel biotechnological solutions, focusing on areas such as genetic engineering, molecular biology, or protein science. The role demands a deep expertise in experimental design, data analysis, and interpretation, with a strong emphasis on innovation and intellectual property generation. Key responsibilities include developing and executing research strategies, managing project timelines and resources, fostering a collaborative and high-performing remote team culture, authoring scientific publications and patents, and staying at the forefront of scientific advancements. You will be instrumental in identifying new research opportunities and translating scientific discoveries into tangible product candidates. The ideal candidate will possess a PhD in a relevant scientific discipline (e.g., Molecular Biology, Biotechnology, Biochemistry) with a minimum of 8-10 years of post-doctoral experience in leading R&D projects. Demonstrated success in innovation, a strong publication record, and experience with virtual collaboration tools are essential. This role offers the unique opportunity to lead cutting-edge research from a remote setting, contributing significantly to the future of biotechnology while enjoying unparalleled flexibility. Join a company committed to scientific excellence and impactful innovation.
This advertiser has chosen not to accept applicants from your region.
2
University Lecturer (Computer Science)
CB2 1TN Cambridge, Eastern
£45000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a globally recognised centre of academic excellence, is seeking a dynamic and innovative University Lecturer in Computer Science to join their esteemed faculty in Cambridge, Cambridgeshire, UK . This role involves delivering high-quality teaching at both undergraduate and postgraduate levels, conducting impactful research, and contributing to the vibrant academic community. You will inspire the next generation of computer scientists and contribute to the advancement of the field. The position embraces a hybrid model, allowing for remote preparation and research alongside essential on-campus teaching and engagement activities in Cambridge, Cambridgeshire, UK .
Responsibilities:
Responsibilities:
- Deliver engaging lectures, tutorials, and laboratory sessions in various areas of Computer Science, including programming, algorithms, data structures, software engineering, and artificial intelligence.
- Develop and update course materials, syllabi, and assessment methods to ensure relevance and academic rigor.
- Supervise undergraduate and postgraduate student projects, dissertations, and research theses.
- Conduct independent research in a specialized area of Computer Science, aiming for high-impact publications and external funding.
- Collaborate with colleagues on research projects and interdisciplinary initiatives.
- Contribute to the administration and development of the Computer Science department.
- Mentor students, providing academic guidance and career advice.
- Engage in scholarly activities, including attending and presenting at academic conferences.
- Maintain an active role in the university's academic and research community.
- Foster a positive and inclusive learning environment for all students.
- Undertake external examining duties as required.
- Ph.D. in Computer Science or a closely related field.
- A strong track record of research and publication in reputable academic journals and conferences.
- Demonstrated ability to teach effectively at the university level.
- Expertise in at least one core area of Computer Science, with a willingness to teach foundational modules.
- Excellent communication, presentation, and interpersonal skills.
- Ability to inspire and motivate students.
- Commitment to contributing to the academic and research mission of the university.
- Experience with curriculum development and assessment design.
- Familiarity with learning management systems (LMS) and online teaching tools.
- Willingness to work in a hybrid model, balancing remote work with mandatory on-campus duties in Cambridge, Cambridgeshire, UK .
- A passion for teaching and fostering student success.
- Postdoctoral research experience is highly desirable.
This advertiser has chosen not to accept applicants from your region.
3
Graduate Mechanical Engineer - Research & Development
CB2 1TN Cambridge, Eastern
£25000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client, a world-renowned research institution and innovator, is seeking bright and enthusiastic Graduate Mechanical Engineers to join their prestigious R&D program in Cambridge, Cambridgeshire, UK . This internship offers an unparalleled opportunity for recent graduates to immerse themselves in cutting-edge engineering projects, gain hands-on experience, and contribute to groundbreaking scientific and technological advancements. You will work alongside experienced engineers and researchers, developing and testing new concepts and prototypes.
The ideal candidate will possess a strong academic foundation in Mechanical Engineering, with a keen interest in research and development. You should have a solid understanding of core engineering principles, thermodynamics, fluid mechanics, and materials science. Experience with CAD software (e.g., SolidWorks, AutoCAD) and a familiarity with laboratory equipment and testing procedures are highly desirable. This role requires excellent analytical and problem-solving skills, a meticulous attention to detail, and the ability to work effectively both independently and as part of a collaborative team. A proactive attitude and a genuine passion for innovation are essential for success in this dynamic environment.
Key Responsibilities:
Qualifications:
This is an exceptional internship opportunity for aspiring engineers to kick-start their career in research and development within a world-class setting in Cambridge, Cambridgeshire, UK .
The ideal candidate will possess a strong academic foundation in Mechanical Engineering, with a keen interest in research and development. You should have a solid understanding of core engineering principles, thermodynamics, fluid mechanics, and materials science. Experience with CAD software (e.g., SolidWorks, AutoCAD) and a familiarity with laboratory equipment and testing procedures are highly desirable. This role requires excellent analytical and problem-solving skills, a meticulous attention to detail, and the ability to work effectively both independently and as part of a collaborative team. A proactive attitude and a genuine passion for innovation are essential for success in this dynamic environment.
Key Responsibilities:
- Assist in the design, development, and testing of new mechanical systems and components.
- Conduct experiments and gather data under the guidance of senior engineers.
- Utilize CAD software to create and modify engineering designs and drawings.
- Perform theoretical calculations and simulations to analyze system performance.
- Contribute to the documentation of research findings, test results, and project progress.
- Collaborate with team members on various R&D projects.
- Operate and maintain laboratory equipment and testing apparatus.
- Research and evaluate new technologies and materials relevant to ongoing projects.
- Participate in team meetings and contribute to problem-solving sessions.
Qualifications:
- Bachelor's degree (2:1 or above) in Mechanical Engineering or a closely related discipline.
- Strong academic record with a good understanding of fundamental engineering principles.
- Interest in research and development within the mechanical engineering field.
- Familiarity with CAD software (e.g., SolidWorks, AutoCAD) is an advantage.
- Basic understanding of laboratory practices and experimental procedures.
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work collaboratively in a team environment.
- Proactive and eager to learn.
This is an exceptional internship opportunity for aspiring engineers to kick-start their career in research and development within a world-class setting in Cambridge, Cambridgeshire, UK .
This advertiser has chosen not to accept applicants from your region.
4
Head of Pharmaceutical Research & Development
CB2 1TN Cambridge, Eastern
£120000 Annually
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client, a groundbreaking pharmaceutical company at the forefront of medical innovation, is seeking an accomplished and visionary Head of Pharmaceutical Research & Development to lead their scientific endeavours. This critical leadership position is based in the vibrant scientific hub of **Cambridge, Cambridgeshire, UK**. You will be responsible for setting the strategic direction of the R&D pipeline, overseeing all stages of drug discovery and development, from preclinical research through to clinical trials and regulatory submission. This role demands exceptional scientific leadership, a deep understanding of regulatory landscapes, and a proven track record of successfully bringing novel therapies to market. Key responsibilities include managing and mentoring a diverse team of scientists and researchers, fostering a culture of innovation and scientific excellence, and ensuring efficient resource allocation. You will collaborate extensively with cross-functional teams, including clinical operations, manufacturing, intellectual property, and business development. A PhD in a relevant scientific discipline (e.g., Pharmacology, Molecular Biology, Chemistry) is essential, along with a minimum of 10-15 years of progressive experience in pharmaceutical R&D, with a significant portion in a leadership capacity. Demonstrable experience in leading successful drug development programs and navigating complex regulatory pathways (e.g., FDA, EMA) is imperative. Strong strategic thinking, project management skills, and outstanding communication and interpersonal abilities are required. The Head of R&D will represent the company's scientific vision to internal and external stakeholders, including investors and partners. This is an unparalleled opportunity to make a profound impact on human health by leading pioneering research and development efforts in **Cambridge, Cambridgeshire, UK**.
This advertiser has chosen not to accept applicants from your region.
5
Senior Lecturer in Computer Science
CB2 1TN Cambridge, Eastern
£50000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
A prestigious academic institution in Cambridge, Cambridgeshire, UK is seeking a highly qualified and enthusiastic Senior Lecturer in Computer Science to join its distinguished faculty. This is an exceptional opportunity to contribute to cutting-edge research and deliver high-quality teaching in a world-renowned academic environment. The successful candidate will be responsible for delivering engaging lectures and tutorials across a range of computer science modules, conducting independent research, and contributing to curriculum development. You will mentor and supervise undergraduate and postgraduate students, publish research findings in leading academic journals and conferences, and actively participate in departmental administrative duties. Key responsibilities include designing and delivering innovative course content, assessing student performance through exams, coursework, and projects, and fostering a stimulating learning environment. We are looking for an individual with a PhD in Computer Science or a closely related field, a strong publication record, and demonstrated experience in teaching at the university level. Expertise in areas such as Artificial Intelligence, Machine Learning, Cybersecurity, or Software Engineering is highly desirable. Excellent communication and presentation skills are essential, as is the ability to inspire and motivate students. This hybrid role offers a blend of on-campus teaching and research activities with the flexibility of remote engagement. Join a vibrant academic community dedicated to excellence in education and research.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Lecturer in Computer Science
CB2 1TN Cambridge, Eastern
£55000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a prestigious educational institution in **Cambridge, Cambridgeshire, UK**, is seeking an experienced and passionate Senior Lecturer in Computer Science. This academic role is ideal for an individual with a strong research background and a dedication to inspiring the next generation of technologists. You will be responsible for delivering high-quality teaching across a range of undergraduate and postgraduate computer science modules, conducting impactful research, and contributing to curriculum development. The successful candidate will possess expertise in core areas of computer science, such as artificial intelligence, software engineering, cybersecurity, or data science. Key duties include lecturing, leading seminar groups, setting and marking assessments, and providing academic mentorship and supervision to students. A significant component of this role involves pursuing independent research, publishing findings in leading academic journals and conferences, and seeking external funding. You will also play a crucial role in departmental administration and contribute to the wider academic community. Our client fosters a collaborative research environment and encourages interdisciplinary work. The ideal candidate will have a PhD in Computer Science or a closely related field, a proven record of teaching excellence, and a strong publication history. This is an exceptional opportunity to advance your academic career in a world-renowned centre of learning and research.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Deliver engaging lectures and tutorials in various computer science disciplines.
- Develop and update course materials and assessment strategies.
- Supervise undergraduate and postgraduate research projects.
- Conduct independent, high-quality research and publish findings.
- Secure research funding through grant applications.
- Contribute to departmental administration and committee work.
- Mentor and advise students on academic and career development.
- Promote and uphold the institution's academic standards.
- Engage in scholarly activities and contribute to the academic community.
- Collaborate with colleagues on research initiatives and curriculum design.
Qualifications:
- PhD in Computer Science or a related discipline.
- Demonstrable experience in university-level teaching.
- A strong publication record in reputable journals and conferences.
- Proven ability to attract research funding.
- Expertise in at least one major area of Computer Science (e.g., AI, Software Engineering, Data Science).
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and as part of a team.
- Commitment to academic excellence and student success.
This advertiser has chosen not to accept applicants from your region.
7
Senior Lecturer in Computer Science
CB1 2 Cambridge, Eastern
£45000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our esteemed educational institution is seeking an experienced Senior Lecturer in Computer Science to join their faculty in Cambridge, Cambridgeshire, UK . This hybrid position offers a stimulating academic environment with a blend of on-campus teaching and research, alongside the flexibility of remote work for certain duties. You will contribute to curriculum development, deliver high-quality teaching, conduct impactful research, and mentor students.
Responsibilities:
The ideal candidate will hold a PhD in Computer Science or a closely related field, possess a strong publication record, and have significant experience in university-level teaching and research. Excellent communication, presentation, and interpersonal skills are essential. This role requires a commitment to academic excellence and a passion for educating the next generation of computer scientists. The position is based in Cambridge, Cambridgeshire, UK , with the expectation of regular on-campus presence for teaching and collaborative activities, while allowing for remote work where appropriate.
Responsibilities:
- Deliver engaging lectures and practical sessions in various Computer Science disciplines, including algorithms, data structures, software engineering, artificial intelligence, and cybersecurity.
- Develop and update course materials, syllabi, and assessment strategies to reflect current industry trends and academic advancements.
- Conduct independent research in a specialized area of Computer Science, publishing findings in reputable journals and presenting at conferences.
- Supervise undergraduate and postgraduate student research projects and dissertations.
- Contribute to the academic administration of the department, including admissions, quality assurance, and committee work.
- Foster a stimulating and inclusive learning environment for students from diverse backgrounds.
- Collaborate with colleagues on interdisciplinary research projects and grant applications.
- Mentor students, providing academic and career guidance.
- Participate in curriculum review and development processes.
- Maintain professional development, staying current with advancements in Computer Science and higher education pedagogy.
- Contribute to the university's research profile and reputation.
- Engage with industry partners to explore collaborative opportunities and enhance student employability.
The ideal candidate will hold a PhD in Computer Science or a closely related field, possess a strong publication record, and have significant experience in university-level teaching and research. Excellent communication, presentation, and interpersonal skills are essential. This role requires a commitment to academic excellence and a passion for educating the next generation of computer scientists. The position is based in Cambridge, Cambridgeshire, UK , with the expectation of regular on-campus presence for teaching and collaborative activities, while allowing for remote work where appropriate.
This advertiser has chosen not to accept applicants from your region.
8
Senior Lecturer in Computer Science
CB2 1TN Cambridge, Eastern
£50000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a prestigious academic institution, is seeking an accomplished Senior Lecturer in Computer Science to contribute to its esteemed faculty. This role offers a unique opportunity to engage in cutting-edge research, deliver high-quality teaching, and mentor students within a vibrant academic community. Located in the heart of Cambridge, Cambridgeshire, UK , this position combines the intellectual stimulation of academia with the collaborative spirit of a leading university. The ideal candidate will possess a strong research profile, excellent pedagogical skills, and a commitment to academic excellence.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct independent research in a chosen area of computer science, publishing findings in leading journals and conferences.
- Develop and deliver engaging lectures, seminars, and practical sessions for undergraduate and postgraduate students.
- Supervise student research projects, dissertations, and PhD theses.
- Contribute to the curriculum development and enhancement of computer science programs.
- Participate in academic administration, including admissions, examinations, and departmental committees.
- Seek external funding opportunities to support research activities.
- Foster collaborations with other academics, both within and outside the institution, and with industry partners.
- Mentor and support students, providing academic and pastoral guidance.
- Contribute to the positive and inclusive culture of the department and university.
- Stay abreast of advancements in computer science and pedagogical methods.
Qualifications:
- PhD in Computer Science or a related field.
- A strong track record of high-quality research and publications in reputable venues.
- Demonstrated experience in teaching computer science at university level, with evidence of effective pedagogical approaches.
- Experience in curriculum design and development.
- Ability to supervise postgraduate research students effectively.
- Excellent communication, presentation, and interpersonal skills.
- Proven ability to attract research funding.
- Commitment to diversity and inclusion in teaching and research.
- Experience of working in a hybrid academic environment, balancing remote preparation and in-person delivery/collaboration.
- A collaborative and team-oriented approach to academic work.
This advertiser has chosen not to accept applicants from your region.
9