|Salary:||£31,302 to £39,609 per annum. Grade 7|
|Placed On:||7th December 2018|
|Closes:||6th January 2019|
Contract Type: Fixed-term for 3 years
Faculty: Faculty of Engineering
Salary: Grade 7, £31,302 to £39,609 per annum with the potential to progress to £43,267 per annum through sustained exceptional contribution.
Are you interested in working for a world top 100 University and a world renowned Research Institute? We have an extraordinary opportunity in the Department of Mechanical Engineering and the Insigneo Institute for in silico Medicine for someone with a real passion for Human Movement and wearable sensors. They will be looking to use their skills in experiment design and signal processing to make an impact on the advancements of sensor based assessments of mobility limitation.
We are looking for a skilled, motivated, enthusiastic individual, capable of working as part of a team and strongly motivated towards delivering excellent results in a timely fashion. You will have finished your PhD (or be close to completion) and your background will include engineering or similar disciplines. You will have previous experience in working with wearable sensors within a clinical setting and be ready to join a multi-disciplinary, multi-cultural, and diverse research group. You will be prepared to collaborate with a large number of academic and Industrial partners and travel around Europe and the world for project meetings and Conferences.
You will be involved in one of the largest Initiatives in the field by being part of a Consortium that consists of clinical/academic partners, SMEs and Industrial partners, from 12 countries, including all the most prestigious Centres in Europe. Starting from March 2019, they will work to jointly develop and implement a digital mobility assessment solution to demonstrate that real-world digital mobility outcomes can successfully predict relevant clinical outcomes and provide a better, safer and quicker way to arrive at the development of innovative medicines.
Main aspects of your job will entail contributing to:
a) The identification of the criteria for the selection of algorithm(s)/sensor(s) pairs satisfying both criterion validity and wearability, usability, human factors and data capture processes criteria;
b) defining a gold-standard for the validation of the chosen solutions;
c) supporting technical validations in patients with Multiple Sclerosis, Proximal femoral fracture, Parkinson’s disease, Chronic Obstructive Pulmonary Disease, chronic heart failure;
d) producing documentation, standards and manuals relevant to the experimental protocols.
We are committed to exploring flexible working opportunities which benefit the individual and University.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes the University of Sheffield a remarkable place to work and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
Type / Role: