Research Associate
4 months ago
**Department**:
The School of Physics, Engineering and Technology brings physicists and engineers together to push the frontiers of knowledge, foster innovation and meet the grand challenges facing society. Our aim is to deliver world-leading research in both fundamental and applied areas whilst developing new technologies that work for the public good, in an environment where everyone can thrive.
As a School, equality, diversity, and inclusion are central to our culture and we strive to provide a working environment which allows all staff and students to contribute fully, to flourish, and to excel. We aim to ensure that there is a supportive and egalitarian culture at all levels and across all staff groups and offer a range of family friendly, inclusive employment policies, flexible working arrangements, staff engagement forums, campus facilities and services to support staff from different backgrounds. We are proud to hold Juno Champion and Athena Swan bronze awards, which recognise our commitment to creating an equitable and fully inclusive environment in which staff and students can thrive. We aim to inspire young people to engage with science and engineering through our outreach work.
**Role**:
**Skills, Experience & Qualification needed**:
**Qualifications**
- First degree in Engineering, Business Analytics, Computer Science, or a related field
- PhD in First degree in Engineering, Business Analytics, Computer Science, or a related field, or industrial experience in solar photovoltaics (PV)
**Knowledge**
- Knowledge in CNN networks to engage in high quality research
- Knowledge of AI algorithms, evidence evaluation, training, validation, and testing
- Knowledge of EL/PL/Thermal IR PV inspections techniques
**Skills, abilities, and competencies**
- Ability to write up research work for publication in high profile journals
- Competency to make presentations at conferences or exhibit work in other appropriate events
- Skills in building AI algorithms, data analysis and HPC data processing
**Experience**
- Ability to work as part of a team and also to work independently using own initiative
- Experience of carrying out EL testing for PV systems
- Experience of developing AI algorithms (ideally deep learning methods such as CNN)
**Personal attributes**
- Collaborative ethos
- Positive attitude to colleagues and students
**Interview date**:TBC
The University strives to be diverse and inclusive - a place where we can ALL be ourselves.
We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork
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