Quantitative Researcher in Stochastic Systems
4 weeks ago
We are seeking a highly skilled Researcher/Senior Researcher to join our team at The James Hutton Institute, a world-renowned centre of excellence in quantitative applied research. As a key member of our team, you will be responsible for developing and applying cutting-edge methodology in statistical inference and learning for complex stochastic systems.
**Key Responsibilities:**
- Develop and apply Bayesian computational approaches to inference for stochastic processes
- Explore the potential for machine-learning in models for complex and adaptive systems
- Collaborate with applied scientists from leading UK research institutions to advance our understanding of complex systems
- Contribute to the development of new methodologies and tools for inference and uncertainty quantification
- Represent BioSS at meetings with stakeholders from scientific and non-scientific backgrounds
**Requirements:**
- PhD (or MSc with compensatory experience) in a quantitative discipline with substantial computational and statistical/mathematical components
- Experience of methodological development and scientific collaborations in statistical inference for stochastic processes
- Track record of publications underpinned by quantitative methods
- Ability to interact positively, effectively and confidently with collaborators in formal and informal situations
- Enthusiasm for development and application of quantitative methods, and for collaborating with applied scientists in a range of scientific areas
**What We Offer:**
- A stimulating working environment with a diverse and supportive team of over 50 staff and students
- Opportunities for career development and professional growth
- Access to state-of-the-art computational facilities and resources
- A competitive salary and benefits package
**How to Apply:**
Please submit your application, including a CV and covering letter, to our parent organization, The James Hutton Institute. We look forward to hearing from you.
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