Lecturer in Signal Processing for Health Data Science - Grade 7
University of Liverpool - Faculty of Science and Engineering - School of Electrical Engineering, Electronics and Computer Science - Department of Electrical Engineering and Electronics
| Location: | Liverpool |
|---|---|
| Salary: | £39,105 to £45,163 |
| Hours: | Full Time |
| Contract Type: | Permanent |
| Placed On: | 2nd January 2025 |
|---|---|
| Closes: | 23rd January 2025 |
| Job Ref: | 089113 |
The University of Liverpool, a prestigious Russell Group institution, seeks a Lecturer in Signal Processing for Health Data Science. Join our globally recognised Signal Processing Group within the Department of Electrical Engineering and Electronics, where innovation meets real-world impact.
Over the past five years, the group has expanded to over 80 researchers excelling in Bayesian inference, statistical signal processing, and machine learning. Led by Professor Simon Maskell, the group has a global reputation for advancing novel methodologies that address complex challenges driven by our partners.
Key Responsibilities:
- Conduct and publish high-quality research in Bayesian inference, signal processing, machine learning, or related areas.
- Secure external research funding and lead collaborative projects with non-academic partners.
- Deliver inspiring undergraduate and postgraduate teaching.
- Supervise PhD students and mentor junior researchers.
About You:
- PhD in Signal Processing, Biostatistics, Mathematics, or related fields.
- Proven research excellence, with a strong publication record.
- Expertise in statistical methods, programming (Python and C++) and interdisciplinary collaboration.
- Experience of delivering research solutions that solve real-world problems.
Apply now to shape the future of health data science with us.
Contact smaskell@liverpool.ac.uk for informal enquires.
Commitment to Diversity
The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian, or Minority Ethnic backgrounds, individuals living with a disability, and members of the LGBTQIA+ community.
For full details and to apply online, please visit: recruit.liverpool.ac.uk
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