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- Tasks: Conduct independent research in network science and mentor PhD students.
- Company: Join the innovative Complex Connections Lab at Northeastern University – London.
- Benefits: Enjoy 25 days holiday, private healthcare, and personalized mentoring.
- Why this job: Engage in cutting-edge projects that impact urban dynamics and online interactions.
- Qualifications: Ph.D. in relevant fields with programming skills in Python, R, or SQL required.
- Other info: Collaborate with diverse teams and contribute to groundbreaking discoveries.
The predicted salary is between 36000 - 60000 £ per year.
Benefits: Generous benefits package including 25 days holiday allowance pro rata (excl. Bank holidays), group life assurance, group income protection, pension schemes and private healthcare. Positions are 100% research-focused with a two-year contract.
The appointed Researcher will be an integral part of the Complex Connections Lab and will work under the supervision of Associate Professor R. Di Clemente. The Researcher is expected to collaborate with group members, fellow researchers, graduate, and PhD students, engaging in cutting-edge projects at the intersection of Complex Systems, Network Theory, Data Science, and Urban Dynamics. The primary focus will be on analyzing and modeling diverse data sources, from digital fingerprints of human activities to uncover features and dynamics that define cities and online interactions. The researcher will utilize data-driven approaches, including complex systems, machine learning, natural language processing, and network theory, to make groundbreaking discoveries.
We welcome applicants with strong backgrounds in Data Science, Statistical Physics, Machine Learning, Complex Systems, or related fields. Our priority is to attract researchers interested in developing new mathematical frameworks or innovative applications to understand human behavior and interactions in urban and online spaces. We value a multidisciplinary mindset and encourage bridging disciplines. Our research extends across domains such as strategies for urban poverty reduction, understanding urban segregation through digital traces, and modeling social network consensus formation. We offer an enriching, collaborative environment that promotes interdisciplinary engagement and competition. Benefits include personalized mentoring from a diverse faculty team, including collaborators and industry partners in urban science, computer science, mathematics, and complex systems science.
Person specification
- Qualifications: Ph.D. in Network Science, Data Science, Complex Systems, Urban Data Science, Computational Social Science, Mathematics, Physics, or related field.
- Proficiency in programming languages such as Python, R, SQL, Julia.
- Experience with software development tools and libraries (e.g., Pandas, scikit-learn, Spark, Git).
- Experience in Statistical Analysis, Machine Learning, Complex Systems, and Network Theory.
- Effective teamwork and interdisciplinary collaboration skills.
- Excellent scientific communication and presentation skills.
- Enthusiasm for interdisciplinary applied research.
- Fluency in English (spoken and written).
- Ability to plan, execute, and publish research.
- Good time-management and organizational skills.
- Mentoring experience with junior researchers.
- Experience in proposal writing for external funding.
- Data visualization and presentation skills, including web content design.
- Experience with urban data science or computational social science.
- Proven record of independent research and publication.
Job Duties
The PDRA will conduct independent research, publish results, contribute to proposals, and mentor PhD students. Responsibilities include:
- 50-60%: Initiate, execute, and complete research and analysis.
- 20-25%: Prepare research papers, presentations, and grant proposals.
- 15-20%: Data and project management.
- 5-10%: Collaborate with and mentor graduate students.
About the Complex Connections Lab
The lab studies social connections influencing human behavior in cities and online, focusing on digital traces and network science, complexity theory, and data science.
About the Network Science Institute (NetSI)
Established in 2023 in London, NetSI advances research, education, and innovation in network science, fostering collaborations across the UK, Europe, and the US. It is part of the global NetSI program, which unites regional communities and partners with regional talent and institutions.
About Northeastern University – London (NUL)
Founded in 2012, NUL is a prestigious institution now part of Northeastern University, offering diverse programs and expanding research opportunities. It moved to new premises next to Tower Bridge in 2021.
About the Northeastern University Global Network
Founded in 1898, Northeastern is a leading global research university with extensive campuses and online offerings, fostering impact through experience-driven lifelong learning. It is committed to diversity and inclusion.
Applications should be submitted via the jobs.ac apply button by 23:59 (BST) on Tuesday 31st October 2023, referencing “PRANS0923RDC”. Please include a CV and cover letter addressing the selection criteria, and provide contact details for three references. We support diversity and inclusion and may offer sponsorship; please specify your needs in your cover letter.
Postdoctoral Research Associate in Network Science employer: Complex Systems Society
Contact Detail:
Complex Systems Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Network Science
✨Tip Number 1
Network with current and former researchers in the Complex Connections Lab or similar fields. Attend relevant conferences or seminars to make connections and learn about ongoing projects, which can give you insights into the lab's culture and research focus.
✨Tip Number 2
Familiarise yourself with the latest research and methodologies in Network Science and related areas. Being well-versed in recent publications will not only enhance your knowledge but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 3
Showcase your collaborative skills by highlighting any interdisciplinary projects you've worked on. The role values teamwork, so demonstrating your ability to work across different fields will make you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your experience with data-driven approaches and programming languages mentioned in the job description. Be ready to provide examples of how you've applied these skills in past research to solve complex problems.
We think you need these skills to ace Postdoctoral Research Associate in Network Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Network Science, Data Science, and related fields. Emphasise your programming skills in Python, R, SQL, or Julia, and any experience with machine learning or complex systems.
Craft a Compelling Cover Letter: In your cover letter, address the selection criteria directly. Discuss your research interests and how they align with the work at the Complex Connections Lab. Mention any interdisciplinary projects you've been involved in to showcase your collaborative mindset.
Highlight Your Research Experience: Detail your independent research and publication record. Include specific examples of projects where you applied data-driven approaches or worked on urban data science, as this will demonstrate your capability for the role.
Provide Strong References: Select references who can speak to your research abilities and teamwork skills. Ensure you inform them about the position you're applying for so they can tailor their recommendations accordingly.
How to prepare for a job interview at Complex Systems Society
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to Network Science, Data Science, or Complex Systems. Highlight any independent research you've conducted and be ready to explain your methodologies and findings.
✨Demonstrate Programming Proficiency
Since the role requires proficiency in programming languages like Python, R, and SQL, ensure you can discuss your experience with these tools. Bring examples of how you've used them in past projects, particularly in data analysis or machine learning.
✨Emphasise Interdisciplinary Collaboration
The position values a multidisciplinary mindset, so be ready to talk about your experiences working in diverse teams. Share specific examples of how you've collaborated with researchers from different fields and the outcomes of those collaborations.
✨Prepare for Questions on Urban Dynamics
Given the focus on urban data science and human behaviour, anticipate questions related to these topics. Familiarise yourself with current trends and challenges in urban dynamics and be prepared to discuss how your research could contribute to understanding these issues.
