3‑year fixed‑term Postdoctoral position at SKAO Global Headquarters, Jodrell Bank, UK.
This role focuses on developing deep‑learning‑based image reconstruction techniques for radio interferometry, building on ALMA data with the goal of extending the algorithms for future use with SKA telescopes.
Key Responsibilities
* Work with an international research team across Europe and North America.
* Develop a prototype high‑performance imaging pipeline with an anomaly‑detection module for the ALMA radio telescope using deep learning methods such as Visual Transformer and Metadata‑Aware Transformer.
Mandatory Knowledge, Skills and Experience
* University PhD in Radio Astronomy, Computer Science or a closely related field, or equivalent qualification.
* Demonstrated expertise in deep learning with PyTorch, JAX or TensorFlow.
* Experience with CNNs, Transformers, diffusion models, self‑supervised/unsupervised learning, handling high‑dimensional data and distributed computing.
* Effective oral and written communication skills in English to represent SKAO at meetings, conferences or engage with external partners.
* Good organisational, communication and collaborative skills; flexibility and adaptability to change.
Desirable Knowledge, Skills and Experience
* Experience working with computer vision problems using 3D data, sparse reconstruction, and generative models.
* Expertise in radio‑astronomy calibration and imaging techniques.
* Experience working in large collaborative projects.
Benefits
* 30 days annual leave plus public holidays.
* Generous pension scheme.
* Visa support and relocation assistance (if applicable).
* Regular social events and a family‑friendly environment.
* Inclusive, multicultural working environment.
Equality, Diversity and Inclusion Statement
SKA Observatory recognises that our diversity is a strength and aims to create a welcoming and inclusive environment where everyone feels they belong, and diverse perspectives and ideas thrive. We recruit and retain talented individuals regardless of gender, race, disability, age, sexual orientation, marital status, religion, nationality or background, and encourage female applicants. If you require adjustments, we will provide necessary support.
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