Postdoc in Causal Inference for Large-Scale Networks in Eastbourne

Postdoc in Causal Inference for Large-Scale Networks in Eastbourne

Eastbourne Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
Job Search Place Limited

At a Glance

  • Tasks: Develop data-driven methods for managing ICT networks using neuroscience-inspired techniques.
  • Company: Join a leading research team at the University of Sussex.
  • Benefits: Engage in high-impact research with opportunities for collaboration and professional growth.
  • Other info: Collaborate with academic and industrial partners in a dynamic research environment.
  • Why this job: Make a real difference in understanding complex systems and their inter-dependencies.
  • Qualifications: PhD in relevant field with experience in causal inference and network analysis.

The predicted salary is between 35000 - 45000 Β£ per year.

Job Search Place Limited is seeking a Postdoc in causal inference at the University of Sussex. The role involves developing data-driven characterisations to manage ICT networks through neuroscience-inspired methodologies. The successful candidate will implement methods for inferring latent inter-dependencies in complex systems, engage with both academic and industrial partners, and contribute to high-impact research.

Postdoc in Causal Inference for Large-Scale Networks in Eastbourne employer: Job Search Place Limited

Job Search Place Limited offers an exceptional work environment for researchers passionate about causal inference and network management. Located at the University of Sussex, employees benefit from a collaborative culture that fosters innovation and engagement with both academic and industrial partners, alongside ample opportunities for professional growth and impactful research contributions.

Job Search Place Limited

Contact Details:

Job Search Place Limited Recruitment Team

We think you need these skills to ace Postdoc in Causal Inference for Large-Scale Networks in Eastbourne

Causal Inference
Data-Driven Characterisation
ICT Network Management
Neuroscience-Inspired Methodologies
Latent Inter-Dependencies Analysis
Complex Systems Modelling
Collaboration with Academic Partners