Online applications are invited for following positions at Extreme Photonics Innovation Centre (EPIC), jointly established between UK’s Central Laser Facility (CLF) and India’s Tata Institute of Fundamental Research (TIFR) to develop the control systems for the next-generation high powered laser accelerators.
Postdoctoral Fellow – AI/ML and Morphogenesis
Are you a Postdoctoral fellow looking for a challenging yet highly rewarding project?
The Extreme Photonics Innovation Centre (EPIC) is a joint UK-India innovation initiative aimed at developing technology for next-generation accelerators using lasers. Funded by the UK Research and Innovation (UKRI), this £4 million centre is jointly established between UK’s Central Laser Facility (CLF) and Tata Institute of Fundamental Research (TIFR). The CLF at the Science and Technology Facilities Council’s Rutherford Appleton Laboratory (RAL), is a world-leader in the next- generation laser technology that can drive compact accelerators yielding bright particle and x-ray beams that, in the near future, can transform imaging capabilities in industry and medicine. TIFR has been pursuing the intense laser science over the past two decades and has unraveled many unique features in this field.
As part of EPIC, we are leveraging AI/ML to Unravel and Engineer Morphogenesis (Part of the Bio-Imaging Project).
Job Description:
We are seeking a motivated and talented postdoctoral fellow to join a cutting-edge research project aimed at integrating artificial intelligence (AI) and machine learning (ML) with developmental biology to unravel the principles of morphogenesis. This project, a a joint Indo-UK collaboration between scientists at STFC, UK and TIFR Hyderabad focusses on using advanced AI/ML techniques including generative AI and domain-agnostic invariant models, to study tissue formation and explore synthetic morphogenetic possibilities. The successful candidates will work with a multidisciplinary team of scientists (Prof. Tamal Das, Prof. Jeyan Thiyagalingam). The role involves data acquisition, high-resolution imaging, advanced image processing using machine learning techniques, integration of transcriptomics data, and the development of generative AI models to simulate novel tissue structures.
Postdoctoral Fellow: One Post – Temporary for one year and may be renewed each year depending upon performance and requirement.
Key Responsibilities:
- Design and execute experiments to capture real-time imaging data from organoid and animal models.
- Perform animal handling, animal cell culture, and microscopy.
- Process and analyze imaging data using domain-agnostic invariant models to extract features related to cell shapes, movements, and tissue dynamics.
- Collaborate with the AI/ML team to develop AI/ML models for developing state-of-the-art AI models, including simulation models and tools, that would help understanding the morphogenetic processes.
- Disseminate findings in relevant, high-quality venues.
Essentials:
- PhD. in developmental biology, cell biology, or a related field.
- Experience with animal models, including mouse handling, and animal cell culture.
- Proficiency in microscopy and image analysis.
- Strong interest in interdisciplinary research combining biology and AI/ML.
- Good communication skills and ability to work within a collaborative team environment.
Desirable:
- Familiarity with machine learning or AI techniques.
- Experience with live cell microscopy and image processing.
- Prior knowledge of computational biology.
Application Process :
Interested candidates should send their CV and a cover letter detailing their research experience, and contact information for three references.
Last Date to Apply – 25 November 2024
