Research Fellow in Quantum Machine Learning - School of Computer ScienceGrade 7
Research Fellow in Quantum Machine Learning - School of Computer ScienceGrade 7

Research Fellow in Quantum Machine Learning - School of Computer ScienceGrade 7

Full-Time 36130 - 45413 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a cutting-edge research team in quantum machine learning, developing innovative algorithms and frameworks.
  • Company: Be part of the University of Birmingham, a diverse and inclusive institution committed to innovation and sustainability.
  • Benefits: Enjoy a competitive salary, opportunities for progression, and a supportive work environment.
  • Why this job: Contribute to groundbreaking research that merges quantum computing with machine learning, impacting future technologies.
  • Qualifications: A degree in a relevant field, research experience, and proficiency in programming, preferably Python.
  • Other info: This is a full-time, fixed-term position until March 2028, with a focus on equality and diversity.

The predicted salary is between 36130 - 45413 £ per year.

DescriptionPosition DetailsSchool of Computer ScienceLocation: University of Birmingham Edgbaston Birmingham UKFull time starting salary is normally in the range 36130 to 45413 with potential progression once in post to 48149Grade: 7Full Time Fixed Term contract up to March 2028Closing date: 20th August 2025BackgroundThis research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning an emerging field at the intersection of quantum computing and machine investigates how the unique capabilities of quantum computing can be leveraged to accelerate learning from both classical and quantum data.The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning modelsexpressivity generalization and adversarial robustness and the inter-play between them.These foundational insights will guide the design of novel algorithmic strategies pushing the boundaries of quantum-enhanced learning. This 2.5-year postdoctoral position is funded by the Principal Investigators recently awarded EPSRC Quantum Technologies Career Acceleration Fellowship. Role SummaryWork within specified research grants and projects and contribute to writing bidsOperate within area of specialismAnalyse and interpret research findings and resultsContribute to generating fundingActively publish in top journals and conferenceContribute to licensing or spin out deals with demonstrated commercial success (such as revenues asset or company sales IP generated) and/or public understanding of the discipline or similarMain DutiesThe responsibilities may include some but not all of the responsibilities outlined below.Develop research objectives and proposals for own or joint research with assistance of a mentor if requiredContribute to writing bids for research fundingAnalyse and interpret dataApply knowledge in a way which develops new intellectual understandingDisseminate research findings for publication research seminars etcSupervise students on research related work and provide guidance to PhD students where appropriate to the disciplineContribute to developing new models techniques and methodsUndertake management/administration arising from researchContribute to Departmental/School research-related activities and research-related administrationContribute to enterprise business development and/or public engagement activities of manifest benefit to the College and the University often under supervision of a project leaderCollect research data; this may be through a variety of research methods such as scientific experimentation literature reviews and research interviewsPresent research outputs including drafting academic publications or parts thereof for example at seminars and as postersProvide guidance as required to support staff and any students who may be assisting with the researchDeal with problems that may affect the achievement of research objectives and deadlinesPromotes equality and values diversity acting as a role model and fostering an inclusive working culture.Person SpecificationFirst degree in area of specialism andnormally a higher degree relevant to research area or equivalent qualifications/experienceHigh level analytical capabilityAbility to communicate complex information clearlyEssential criteria: Demonstrated research experience with publications in top journals (or conferences) in one or more of the following areas: Quantum machine learning Quantum algorithms Quantum information theory or Theoretical PhysicsEssential criteria: Proficiency in at least one programming language with a strong preference for Python.Desirable criteria: Additional experience in machine learning statistical learning theory or related fieldsFluency in relevant models techniques or methods and ability to contribute to developing new onesAbility to assess resource requirements and use resources effectivelyUnderstanding of and ability to contribute to broader management/administration processesContribute to the planning and organising of the research programme and/or specific research projectCo-ordinate own work with others to avoid conflict or duplication of effortKnowledge of the protected characteristics of the Equality Act 2010 and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairlyInformal enquiries to Sharu Jose email: We believe there is no such thing as a typical member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability which is a key part of our strategy. You can find out more about our work to create a fairer university for everyoneon our website. Key Skills Bioinformatics,Genetics,R,Biochemistry,Cell Biology,Research Experience,Statistical Software,Cell Culture,Molecular Biology,Data Analysis Skills,Flow Cytometry,Microscopy Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 36130 – 45413

Research Fellow in Quantum Machine Learning - School of Computer ScienceGrade 7 employer: Dr Jobs

The University of Birmingham is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration in the field of quantum machine learning. With a commitment to employee growth through continuous professional development and access to cutting-edge research facilities, staff are encouraged to publish their findings and engage in impactful projects. Located in the heart of Edgbaston, Birmingham, employees benefit from a supportive environment that values diversity and sustainability, making it an ideal place for those seeking meaningful and rewarding careers.
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Contact Detail:

Dr Jobs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Fellow in Quantum Machine Learning - School of Computer ScienceGrade 7

✨Tip Number 1

Network with professionals in the field of quantum machine learning. Attend conferences, workshops, or seminars related to quantum computing and machine learning to meet potential colleagues and mentors who can provide insights and possibly recommend you for the position.

✨Tip Number 2

Engage with current research by reading recent publications in top journals. Familiarise yourself with the latest advancements in quantum algorithms and adversarial machine learning, as this knowledge will help you during interviews and discussions with the hiring team.

✨Tip Number 3

Showcase your programming skills, particularly in Python, by working on relevant projects or contributing to open-source initiatives. This practical experience will not only enhance your CV but also demonstrate your commitment to the field.

✨Tip Number 4

Prepare to discuss your previous research experiences and how they relate to the role. Be ready to explain your contributions to any publications and how your work aligns with the objectives of the research project at the University of Birmingham.

We think you need these skills to ace Research Fellow in Quantum Machine Learning - School of Computer ScienceGrade 7

Quantum Machine Learning
Quantum Algorithms
Quantum Information Theory
Theoretical Physics
Analytical Skills
Research Experience
Publication in Top Journals
Proficiency in Python
Statistical Learning Theory
Data Analysis
Scientific Experimentation
Literature Reviews
Research Interviews
Communication Skills
Project Management
Supervision of PhD Students
Problem-Solving Skills
Understanding of Equality and Diversity
Collaboration and Coordination

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant research experience, particularly in quantum machine learning, quantum algorithms, and theoretical physics. Include any publications in top journals to demonstrate your expertise.

Craft a Strong Cover Letter: In your cover letter, express your passion for quantum machine learning and how your background aligns with the role. Mention specific projects or experiences that showcase your analytical capabilities and programming skills, especially in Python.

Highlight Research Contributions: Clearly outline your contributions to previous research projects, including any funding bids you have written or participated in. Emphasise your ability to analyse data and disseminate findings through publications and presentations.

Showcase Collaboration Skills: Demonstrate your ability to work collaboratively by mentioning any experience supervising students or working within research teams. Highlight your understanding of equality and diversity principles, as these are important to the University of Birmingham.

How to prepare for a job interview at Dr Jobs

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail, especially those related to quantum machine learning or theoretical physics. Highlight any publications you've contributed to, as this will demonstrate your capability and experience in the field.

✨Demonstrate Programming Proficiency

Since proficiency in programming, particularly Python, is essential for this role, be ready to discuss your coding experience. You might even want to prepare a small coding example or problem to showcase your skills during the interview.

✨Understand the Project's Goals

Familiarise yourself with the specific aims of the research project. Understanding how quantum adversarial machine learning works and its implications will allow you to engage more meaningfully in discussions and show your genuine interest in the position.

✨Prepare Questions About Inclusivity and Diversity

Given the university's commitment to equality and diversity, prepare thoughtful questions about their initiatives. This shows that you value an inclusive working environment and are aligned with the university's ethos.

Research Fellow in Quantum Machine Learning - School of Computer ScienceGrade 7
Dr Jobs

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  • Research Fellow in Quantum Machine Learning - School of Computer ScienceGrade 7

    Full-Time
    36130 - 45413 £ / year (est.)

    Application deadline: 2027-08-25

  • D

    Dr Jobs

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