College of Business, Tech. & Engineering Academic Grade 6 - £30,487 to £37,099 (pro rata) dependent on experience
The Role
We are seeking a talented and motivated researcher for a part-time position focusing on machine learning and cloud computing. The successful candidate will have the opportunity to work with cutting-edge technologies, including Azure Cloud Services, and leverage a variety of state-of-the-art machine learning libraries and frameworks. Responsibilities will include developing, testing, and analysing the results of machine learning models and cloud-based implementations. This role offers exposure to a wide array of technologies and techniques, including data pipelines, distributed systems, and scalable machine learning solutions.
The ideal candidate is passionate about innovation, highly analytical, and able to collaborate effectively in a dynamic environment. Prior experience with cloud platforms, machine learning algorithms, or data science is a must. A strong desire to learn and grow is essential. This is an excellent opportunity to advance your skills while working on projects with real-world impact.
The Team
The CyberMATI Research Team sits within the School of Computing and Digital Technologies and Industry and Innovation Research Institute (I2RI)
You can find out more about our school at School of Computing and Digital Technologies and Industry Innovation Research Institute
You will join a dynamic, interdisciplinary team led by world-leading researchers, including Dr. Abdel-Karim Al-Tamimi, a Senior Lecturer in Machine Learning, Dr. Chris Roast, a Reader and an expert in Human-Computer Interaction (HCI), Dr. Neil Bowden, Innovation Manager, and Dr. James Walsh, IP Manager. The team fosters a collaborative and innovative environment, providing access to world-class facilities and resources. You'll work on a ground-breaking project poised to make a long-lasting impact on the field of cybersecurity, while benefiting from expert mentorship and the opportunity to push the boundaries of both machine learning and cloud computing solutions.
Sheffield Hallam welcomes applications from all candidates irrespective of age, pregnancy and maternity, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.
The role is not eligible for sponsorship under the Skilled Worker route so if you are an international applicant, you will need to ensure you have an appropriate visa to evidence the necessary right to work in the UK.
Our benefits
We offer a diverse range of benefits and opportunities to pursue a rewarding and fulfilling career in a supportive environment. To find out more, please visit The Hallam Deal: Your Benefits.
We welcome applications for job-share, part-time and flexible working arrangements
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Accessibility
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Contact Person : Abdel- Karim Al-Tamimi Contact Number : a.al- [email protected] Date Advertised : 24-Oct-2024 Closing Date : 30-Oct-2024 Employment Type : Fixed Term - Part Time Location : City Job number : 108546