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Postdoctoral Research Associate in Cardiovascular Music Optimisation
Department : Cardiovascular Imaging

Key responsibilities

Key responsibilities and outcomes  
  • Building models to infer causal relationships between expressive music parameters and surface or intra cardiac signals 
  • Designing and developing algorithms (and sandbox environments in collaboration with software engineer) to remodel musical expressivity for targeted cardiovascular outcomes 
  • Evaluating and validating the proposed methodologies and assessing their effectiveness and potential for clinical translation 
  • Following the principles of good software design, development, and documentation practices 
  • Preparing high-quality manuscripts for publication, writing clearly about the computational techniques, outcomes, and design analytics 
  • Presenting key findings at scientific conferences and public engagement events 
  • Maintaining suitable performance levels for the software, following good software design, development, and documentation practices 
  • Demonstrate collaborative approach to research and software development 
  • Liaise directly with internal / external colleagues in an independent manner 
  • Use initiative, discretion, knowledge and experience in planning, coordination and problem-solving 
  • Demonstrate ownership of tasks and development of solutions to problems 
  • Maintain an awareness and observation of ethical rules and legislation governing the storage of projected data 
  • Maintain an awareness and observation of confidentiality agreements with collaborators and external organisations 
  • Maintain an awareness and observation of appropriate procedures for the disclosure and protection of inventions and other intellectual property generated as part of the post holder’s activities and other team members working within the project 
  • To attend regular project meetings and training courses for professional and personal development as required 
Communication & Networking
  • Develop and maintain effective working relationships with staff within the School as well as externally 
  • Regularly communicate information in a clear and precise way 
Decision Making, Planning & Problem Solving
  • Lead in decisions that have a significant impact on their own work, that of others and be party to collaborative decisions 
  • Manage own workload, prioritising these in order to achieve their objectives 
  • Communicate to management any difficulties associated with carrying out work tasks 
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.  

Skills, knowledge, and experience 

Essential criteria  
1.      PhD in biomedical engineering, operations research and statistics, computer science, or a closely related field*  
2.      Experience analysing and processing cardiovascular signals, and willingness to learn about cardiovascular research developments 
3.      Experience with statistical analysis and optimization techniques 
4.      Ability to work with real-world music and physiological data 
5.      Knowledge of software design principles and code management on Git 
6.      Excellent written and oral communication skills 
7.      Track record of high-quality, peer-reviewed scientific publications 
8.      Ability to work with people from diverse backgrounds and specialties 
Desirable criteria
9.      Experience analysing and processing music signals 
10.  Music performance experience, ability to judge quality of music expressivity 
Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.
Grade and Salary : £42,405 - £47,178 per annum, including London Weighting Allowance Job ID : 073048
Post Date : 11-Aug-2023 Close Date : 09-Oct-2023
Contact Person : Professor Elaine Chew Contact Details :
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