Start Date
Immediate
Expiry Date
15 Oct, 25
Salary
2.901
Posted On
16 Jul, 25
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Collaboration, R, English, Bioinformatics, Data Analysis, Simulation Modeling, Computational Biology, Interpersonal Communication, Machine Learning, Data Integration, Computer Science, Artificial Intelligence, Communication Skills
Industry
Education Management
JOB DESCRIPTION
We are seeking a highly motivated PhD candidate to join our interdisciplinary research team focused on enhancing plant resilience using cutting-edge data analysis and machine learning techniques. This exciting opportunity involves developing computational models to investigate growth-stress trade-offs in plants, with a focus on the structure, dynamics, and regulatory roles of protein complexes, particularly patterns of direct and indirect protein–protein interactions involved in signaling and transcriptional regulation.
The candidate will develop machine learning approaches to model how these complexes interact and influence gene expression under diverse stress conditions. Leveraging newly generated multi-omics datasets—including protein interaction profiles, DNA-binding assays, and (single-cell) transcriptomic data—the PhD candidate will explore hybrid modeling strategies that integrate mechanistic representations (e.g., dependency graphs) with data-driven methods (e.g., ensemble predictors).
These models will form the basis of a modular, mechanistic framework for identifying key regulators of growth-stress resilience and support experimental validation across the consortium. This position offers a unique opportunity to work at the interface of systems biology, plant science, and artificial intelligence.
The project is part of the Plant/Crop-XR program (cropxr.org/about-us/team/research), a highly collaborative 10-year national initiative involving universities and industry partners, with a mission to design resilient crops through data-driven strategies.
Key Challenges:
Benefits:
To thrive as a PhD candidate, it’s crucial to have a strong research mindset driven by curiosity and passion for your topic. Reflecting on your motivation for pursuing a PhD trajectory is essential, as this path involves unique challenges and uncertainties inherent to scientific exploration. Success requires dedication, adaptability, the ability to analyze complex problems, manage your time effectively, innovate and stay resilient under pressure. Combined with the ability and willingness to work independently and collaborate well, these qualities are indispensable for a fulfilling PhD journey.
These experiences will build you as an independent researcher, expand your professional network, and pave the way for diverse career paths, inside or outside academia.
REQUIREMENTS:
Please refer the Job description for details