About the Project
Circa £34,622.03 pa including mobility allowance. Family allowance is available depending on circumstances. Salary is dependent on fluctuations in exchange rates.
Faculty of Science & Engineering
School of Computing, Electronics & Mathematics
BBDiag is an Innovative Training Network funded under the EU H2020 Marie Skłodowska-Curie Actions to train 13 Early Stage Researchers (ESRs) for the field of blood biomarker-based diagnostics for early-stage Alzheimer’s disease (AD). It brings together leading academic and industrial experts from five major consortia in Europe and China, and uses their synergies to build a triple-i (interdisciplinary, intersectoral and international) research & training platform with the required multidisciplinary expertise and cutting-edge technologies.
Applications are invited from highly motivated and qualified candidates to participate in the innovative research and training programme. The successful candidate will be one of 13 ESRs in the BBDiag network. The aims of this ESR project are to investigate dementia biomarkers for point-of-care bio-sensing devices using machine learning and to develop computational intelligent, diagnostic models to analyse multiplex biosensor data in real-time to aid clinical decision-making. You will work closely with other ESRs and with relevant clinical, academic and industrial collaborators in the BBDiag consortium.
You will be based in the Signal Processing & Multimedia Communications Lab at Plymouth, but will visit other partners on secondment and attend training events of the network. Your PhD programme, training activities and secondments are fully funded.
This is a full-time position working 37 hours per week for 36 months on a fixed term contract of three years starting 1st April 2017 or as soon as possible thereafter.
For Informal enquires, please contact Professor Emmanuel Ifeachor on [Email Address Removed]
To apply, please visit www.plymouth.ac.uk/jobs to complete your online application. Applications handed in by mail or e-mail will not be considered.
Application materials: the application should contain the following documents, compiled in the following order into a single PDF file:
• Cover letter
• Curriculum Vitae
• Copies of academic certificates and transcripts.
• English examination certificates, preferably IELTS examination, for applicants whose native language is not English.
• Copies of publications, if any.
• Letter (s) of recommendation
• Work experience certificates, if applicable
Closing date: 12 midnight, 19 March 2017
University of Plymouth is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion.
The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women’s career in STEMM academia.
University of Plymouth has been recognised by Bloomberg as one of the 50 best UK employers for 2016.
Requirements & eligibility:
Qualifications: First degree with a minimum of 2.1 honors in a relevant field (e.g. electronics, computer science or related discipline). Applicants with a Master’s degree or PhD level research experience are welcome. For applicants, whose native language is not English, a minimum of IELTS 6.5 is required).
You will be required to undertake PhD studies at the Graduate School.
Eligibility rules: At the time of recruitment, you must not have resided or carried out your main activity (work, studies etc.) in the UK for more than 12 months in the last three years.
Early stage researcher rule: Candidates for ESR positions are expected to have less than four years of full-time equivalent research experience at the selection time and have not been awarded a doctoral degree.
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