At a Glance
- Tasks: Design and deploy innovative time-series models to enhance AI capabilities.
- Company: Applied Computing, a leader in AI research and development.
- Benefits: Competitive salary, flexible remote work options, and attractive benefits.
- Other info: Remote or hybrid work model with opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- Qualifications: PhD in a relevant field, expertise in Python, and strong time-series modelling skills.
The predicted salary is between 60000 - 80000 £ per year.
Applied Computing is looking for a Time Series Researcher to enhance Orbital’s AI capabilities. You will design, validate, and deploy foundational time-series models under real-world constraints.
The ideal candidate must have a PhD in a relevant field, expertise in Python and machine learning, and a strong background in time-series modelling.
This role offers a remote or hybrid work model, competitive salary, and attractive benefits.
Remote Time Series Scientist (Physics-Informed ML) employer: Applied Computing
Applied Computing is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving energy sector. With competitive salaries, hybrid working options, and ample opportunities for professional growth, employees are empowered to make meaningful contributions while enjoying a flexible work-life balance.
