Research Associate in Machine Learning for X-ray Spectroscopy
Newcastle University
- Newcastle
- £33,966 per year
- Contract
- Part-time
- Research on project: Theory of Time-resolved Vibrational Spectroscopy for Molecular Design beyond the Born-Oppenheimer Approximation
- Developing XANESNET Deep Neural Network for predicting X-ray spectroscopy observables
- Setup and develop accurate training and testing data
- Analysis of results
- Interaction with experimental collaborators
- Writing of scientific papers
- Contribution to grant writing
- Oral presentation at meetings
- Regular liaison with the Principal Investigators to organise workload and the provision of support for the satisfactory operation of research activities
- Assistance to, and training of, students on specific theoretical techniques and computational methodologies
- In conjunction with the Principal Investigator, contribute to the planning of project requirements
- Expertise in calculating spectroscopic observables or implementing deep learning algorithms
- Experience with a computer programming language, preferably Python
- Practical skills in computational chemistry
- Record keeping and data analysis
- Excellent oral communication and writing skills
- Team-working skills
- Capacity for original thought
- Enthusiasm and work ethic
- High level organisational skills
- Publication of work peer-reviewed journals with evidence of a developing research track record
- Supervision of students (PhD, MSc, BSc)
- Expertise in code development
- Bachelor's degree (or equivalent) in a relevant science subject - preferably chemistry, physics or computer science.
- A PhD in the area of computer science, theoretical or computational chemistry or a related discipline (candidates who have submitted their thesis will be considered)