At a Glance
- Tasks: Develop innovative methods for network management inspired by neuroscience.
- Company: University of Sussex, a hub for interdisciplinary research.
- Benefits: Competitive salary, academic environment, and collaboration with industry leaders.
- Other info: Engage with diverse partners and tackle complex challenges.
- Why this job: Make a real impact on ICT networks using cutting-edge research.
- Qualifications: Strong background in mathematics, computer science, and machine learning.
The predicted salary is between 35000 - 45000 € per year.
We are looking for a post-doctoral research fellow with a strong mathematical and/or computer science background to work with Prof Luc Berthouze and Dr George Parisis on the highly-interdisciplinary project “Rethinking large-scale network management through the lens of neuroscience”.
The project aims to transform the way ICT networks are being conceptualised for management, by developing a data-driven characterisation of emerging dependencies between ICT components inspired by recent neuroscientific paradigms used to study the brain and allowing to capture and act upon the functional impact of complex and changing interactions across layers and processes.
In the first phase of the project, the PDRA will develop and implement methods for inferring time-varying latent inter-dependencies based on events emitted, processed and stored in modern network and service deployments. Conceptual challenges to be met include the presence of multiple time scales as well as hierarchical organisation.
In the second phase of the project, the aim is to disambiguate hypothetical causal structures from the above statistical dependencies, with the view to provide interpretable and actionable insights. Use-case scenarios considered will be failure prediction and root-cause analysis.
We are looking for a researcher with a proven record of developing and deploying machine learning / mathematical and statistical modelling for network inference in large-scale complex systems (e.g., biological, social or technological networks). Strong technical skills are required. Befitting the interdisciplinary and high-impact nature of the project, the candidate should be willing to engage with both academic and industrial partners.
Postdoc in causal inference at University of Sussex in Brighton employer: Network Science Society, Inc.
The University of Sussex is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and interdisciplinary research. As a postdoctoral researcher, you will have access to cutting-edge resources and the opportunity to engage with both academic and industrial partners, enhancing your professional growth in a supportive environment. Located in the picturesque South East of England, the university provides a stimulating atmosphere for meaningful contributions to transformative projects in network management and neuroscience.
Contact Detail:
Network Science Society, Inc. Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Postdoc in causal inference at University of Sussex in Brighton
✨Tip Number 1
Network, network, network! Reach out to people in your field, especially those connected to the University of Sussex. Attend conferences or seminars where you can meet potential collaborators and mentors. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your work in machine learning and statistical modelling. This is a great way to demonstrate your technical abilities and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of causal inference and network management. Be ready to discuss how your background in mathematics and computer science can contribute to the project. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s make some waves in the world of ICT networks together!
We think you need these skills to ace Postdoc in causal inference at University of Sussex in Brighton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your mathematical and computer science background. We want to see how your skills align with the project’s focus on network management and causal inference, so don’t hold back on showcasing relevant experiences!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this interdisciplinary project and how your previous work has prepared you for the challenges ahead. Let us know what makes you the perfect fit!
Showcase Your Technical Skills:Since strong technical skills are a must, be sure to include specific examples of your experience with machine learning and statistical modelling. We want to see how you’ve tackled complex systems in the past, so get into the details!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Network Science Society, Inc.
✨Know Your Stuff
Make sure you brush up on your mathematical and computer science fundamentals. Be ready to discuss your previous work in machine learning and statistical modelling, especially as it relates to network inference. The interviewers will want to see how your skills align with the project’s goals.
✨Show Your Interdisciplinary Side
This project is all about blending different fields, so be prepared to talk about how your background can contribute to both academic and industrial partnerships. Think of examples where you've successfully collaborated across disciplines and how that experience can benefit the project.
✨Prepare for Technical Questions
Expect some deep dives into technical topics during the interview. Brush up on causal inference methods and be ready to explain how you would approach inferring time-varying latent inter-dependencies. Practising problem-solving scenarios can help you articulate your thought process clearly.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the project’s objectives and challenges. This shows your genuine interest and helps you gauge if the role is the right fit for you. Plus, it gives you a chance to demonstrate your critical thinking skills.
