
Research Data Specialist
2 weeks ago
Research Data Specialist
We are seeking a highly skilled Research Associate to join our team in the College of Computing and Data Science. The successful candidate will be responsible for formulating new algorithms for sampling from conditioned SPDE models, developing a mathematical theory showing their correctness and reliability, and finding applications that showcase the benefits of the new methods.
Key Responsibilities:
• Develop and implement new algorithms for sampling from conditioned SPDE models
• Formulate a mathematical theory to prove the correctness and reliability of the new algorithms
• Identify and explore potential applications of the new methods
Requirements:
- Bachelor's degree in Mathematics, Computer Science, or equivalent
- Independent, highly analytical, proactive, and a team player
- Excellent teamwork and verbal, written communication skills
- In-depth knowledge relevant to the project domain
- Demonstrated capability to conduct innovative research
- The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry
- Demonstrated ability to formulate hypothesis and design effective experimental plans
- Ability to design and implement new experimental methods
- High-level expertise in the required experiment or modelling methods
- Ability to initiate collaboration research in multidisciplinary team
- Oversee and report project progress
- Ability and willingness to work some flexible hours
• Opportunity to work with a leading team in the field of SPDE models
• Chance to develop and apply innovative research skills
• Collaborative and dynamic work environment
• Opportunities for professional growth and development
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