The Director of Data Intensive Astronomy will lead a team of astronomers, data scientists, and software engineers in advancing astronomical research through large-scale data analysis and computational techniques. This role is pivotal in integrating big data, machine learning, and high-performance computing to address complex astrophysical challenges, aligning with the organisation’s mission to expand our understanding of the universe.
Key Responsibilities:
- Leadership & Strategy:
- Develop and implement the division’s strategic vision.
- Lead and mentor a multidisciplinary team, fostering collaboration and innovation.
- Represent the organisation in the scientific community.
- Research & Development:
- Oversee research projects leveraging large astronomical data sets.
- Apply machine learning, AI, and statistical methods to advance research.
- Collaborate with external institutions and industry partners.
- Data Management:
- Ensure robust data pipelines and infrastructures for large-scale analysis.
- Oversee the use of cloud computing and high-performance computing resources.
- Promote open science practices, including data sharing and reproducibility.
- Funding & Resource Management:
- Identify and secure funding opportunities.
- Manage budgets and resources effectively.
- Outreach & Education:
- Communicate research findings to the public and scientific community.
- Support educational programs to train future data-intensive astronomers.
Qualifications:
- Education:
- Ph.D. in Astronomy, Astrophysics, Data Science, or related field.
- Experience:
- 10+ years in astronomical research with a focus on data-intensive methods.
- Proven leadership in managing interdisciplinary teams.
- Experience in securing and managing research funding.
- Skills:
- Expertise in big data analytics, machine learning, and high-performance computing.
- Proficiency in astronomical data tools (e.g., Python, R, SQL).
- Strong strategic thinking, communication, and organizational skills.
Preferred Qualifications:
- Experience with international research collaborations.
- Strong publication record in top journals.
- Experience in public outreach and science communication.