Post-Doctoral Researcher in E-Health Technologies

Description of Post

The WiSAR Lab and Technology Gateway is an innovative research centre focused on the research and development of wireless systems including IoT, Body Worn Devices, wearable antenna design and embedded systems.

The WiSAR Lab is seeking to recruit a highly motivated Research Engineer to undertake research and design work in the development e-health technologies in particular the implementation of wearable health monitoring technologies and wearable devices for deployment in body area networks. The successful candidate will primarily be working on two funded European projects in the area of wearable health technology. However, they will be expected to contribute to other ongoing research projects as required. Both of these projects have international consortia, and there will be a requirement to attend and present at meetings and conferences in partner countries.

The successful candidate will join an exciting research effort focused on the new technologies and sciences required in the development and emergence of wearable health technology. The successful applicant will join an experienced and growing team who have been delivering innovative wireless solutions to industry for over 15 years.

Essential Qualifications

Minimum

Candidates must have:

• Applicants should have a minimum 2.2 Honours degree in Electronic engineering, Computer science or in a related discipline.
• It is essential that the candidate has at least three years post-graduate experience in research or industry.

Experience in the following domains and skill areas is required:

• Data Science, data analysis and modelling experience
• Programming skills
• Good at interacting with people, communicating, and working as part of an international team
• Self-organised, able to conduct independent learning

• Presentation skills (evidence of participation in conferences and events.

Desirable

• It is desirable that the candidate has a Masters or PhD in electronic engineering, computer science or equivalent
• Fluent in Python and Python Libraries: Scikit-learn, Keras, Pandas, Seaborn, Numpy, Matplotlib
• Statistical Package for Social Sciences (SPSS) package
• Experience of working in a research environment
• Experience of writing funding proposals
• Previous publications
• Experience applying for ethical approval, conducting research: recruiting and running trials/studies
• Ability to work to deadlines.
• Experience with wearable electronics, electronic devices, wearable technology and managing wearable data
• Familiar with digital/tech competences for health and social care professionals
• Experienced in preparing papers, reports and presentations

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