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Newcastle upon Tyne

    Lecturer/Senior Lecturer in Computing - Newcastle upon Tyne, United Kingdom - Newcastle University

    Newcastle University
    Newcastle University Newcastle upon Tyne, United Kingdom

    1 week ago

    Default job background
    Full time/Part time
    Description

    The Role

    The invites applications for multiple Lectureship and Senior Lectureship opportunities.

    Come and join us in our Urban Science Building based in the .

    We are keen to hear from applicants who have experience in the delivery and administration of teaching in a Higher Education environment and a proven track record of research. We are looking for academics at all stages of their career, from early career looking for your first opportunity to experienced Lecturers, who can lead and shape our growing school.

    We encourage applications from candidates who have expertise in research and teaching in the following thematic areas. Please identify one of the following with which you best align at application stage:


    • Engineering Biology, including lab automation and AI

    • Artificial Intelligence for Healthcare

    • AI and Education

    • Fundamental computer science - algorithms and complexity

    • Verification and synthesis of trustworthy systems, in particular in the domains of cyber-physical systems, AI, software-intensive systems, and programs

    • Formal methods and model-based engineering for designing safe and secure systems

    • Security theme as last year (Cyber Security, with an emphasis on cross-disciplinary application domains, such as AI, HCI or Cyber Physical System)

    • Edge computing and Artificial Intelligence (resilience, data quality, learning quality)

    • Hybrid edge computing including quantum accelerators and neuromorphic architectures

    • Technical aspects of HCI and/or Ubicomp such as: immersive media (VR/AR/XR); embedded systems and IoT; tangible media or wearables; ML for Activity Recognition

    • Human-AI Interaction

    • Data Science and Artificial intelligence (including computer vision, natural language processing, machine learning theory and visualisation)

    • Scalable data engineering, distributed, data-intensive and AI systems (including, for example, performance evaluation, modelling and simulation)

    To view the full candidate briefing pack please click

    How do I apply?

    Using our online application form, please complete the mandatory fields and upload the following documents by 1st July 2024 :


    • A letter of application that includes the following, uploaded as one document in the 'cover letter' field in the online application form:
    o a list of up to 3 papers representing your most significant personal contributions and impact,
    o a one-page research proposal to indicate how your research plans fit with the School of Computing research strategy and,
    o a one-page statement on your approach to teaching and how you believe you can contribute to the teaching programme at undergraduate and postgraduate level.

    • An up-to-date CV/resume

    What happens next?

    We will be longlisting applications in early July. If you are longlisted you will be invited to give a teaching presentation online on one day between 29th - 31st July (depending on number of applicants).

    Following the teaching presentation, we will be shortlisting candidates, with invitations to interview being sent out by the 16th August . Interviews will take place online on 27th, 28th or 30th August.

    Supporting you

    Please contact to Professor Graham Morgan, Head of School at k if you want to discuss the opportunity in more detail. For more information about our academic groups and for details of the Group Leads, please click

    For support with the application process please contact

    As a grade A sponsor, we are delighted to inform you that we can support with sponsorship should you be offered the opportunity and we are able to provide relocation packages for successful applicants who live outside of the North East of England. As a university, we welcome applications from candidates who are looking for flexible working opportunities (part time working, blended working) and would be open to discussions around this at interview stage. We welcome applications from all suitably qualified candidates, regardless of their gender, disability, race, nationality, religion/belief and/or sexual orientation.

    Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.

    We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.

    At Newcastle University we hold a silver award in recognition of our good employment practices for the advancement of gender equality. We also hold a Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.

    In addition, we are a member of the Euraxess initiative supporting researchers in Europe.

    Requisition ID: 27001

    We ensure there's something for everyone and these benefits include: a cycle-to-work schemeshopping discountscompetitive pension schemehealth and wellbeing initiativesactivities and eventsgenerous leavediscounted travelChristmas shutdown

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