Research Fellow

Salary: Full time starting salary is normally in the range £34,980 to £44,263 with potential progression once in post to £46,974. Grade: 7

Contract Type: Fixed Term contract up to March 2027 

Interviews are expected to take place on Monday 29th July 2024. 

This post is funded by a multi-million pound award from Wellcome Leap programme awarded to the University of Birmingham to study Untangling Addiction. Our project, entitled “ACORN – Assessment of Chronic Opioid Risk using Neurobiology. 

Our research programme aims to address persistent opioid usage by identifying molecular, neurobiological and cognitive signatures characterizing patients at risk of prolonged opioid use post-surgery.

The expected start date of the post will be September and for a duration of 30 months, with the possibility of a 1 year extension pending funding.

This post-doctoral research will be conducted in collaboration with a multidisciplinary team of experts in the fields of neuroscience, immunology, pain, anesthesia, and machine learning. The team also aims to recruit additional post-doctoral research associates, one research technician, one research assistant, and one research nurse. 

Supervision will be provided by Dr. Andreas Karwath, and Dr. Ali Mazaheri, as well as Prof. Fang Gao Smith, and Dr. Helen McGettrick. 

The successful candidate will have a strong background in computer science, state-of the-art machine learning, artificial intelligence and multi-modal data integration. Experience with applying explainable machine learning/AI approaches within a medical or clinical setting, in particular in combining different modalities (EHR, biomarkers, longitudinal data, multi-omics, EEGs, NLP, etc.), is a clear advantage. 

Main Duties:

• Developing novel computer-based models, techniques and methods
• Develop research objectives and proposals for own or joint research, with assistance of a mentor if required
• Contribute to writing bids for research funding
• Analyse and interpret data
• Apply knowledge in a way which develops new intellectual understanding
• Disseminate research findings for publication, research seminars etc
• Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline

Skills and Knowledge:

• A PhD (or near to completion) in the areas of (Health) Data Science, Computer Science, Artificial Intelligence, or related discipline. Candidates with a PhD from the healthcare area with excellent and proven ML/AI & computational skills are encouraged to apply.
• Demonstrable knowledge of developing cutting-edge machine learning/AI methods applied to clinical and medical challenges with additional focus on multi-modal data integration, cross-sectional & longitudinal data and explainable AI. 
• Excellent programming skills in Python and practical knowledge of current machine learning and deep learning libraries and frameworks (NumPy, SciPy, Pandas, scikit-learn, TensorFlow, PyTorch, Hugging Face, etc.).
• Experience in High Performance Computing and Linux-based systems.

Informal enquiries to Dr Andreas Karwath a.karwath@bham.ac.uk.

To download the full job description and details of this position and submit an electronic application online please click on the 'Apply' button above.

Valuing excellence, sustaining investment
We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working

Closes: 14^th July 2024

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