Leiden University is seeking an enthusiastic and well-qualified postdoctoral researcher in network science, a field also referred to as complex networks or social network analysis.
Unique about this 3-year position, is that there is no specific application area or granted project underlying this position. Instead, candidates are welcome to bring a strong interest and experience in the fundamental methods and/or algorithms in network science. This means that the candidate can to a large extent freely determine the scope of research of this 3-year position, as long as it falls within the scope of network science research. Candidates with an interest in (applications in) social networks, economic/corporate networks, and scientific collaboration and citation networks, are particularly welcome to apply.
Duration: 3 years
Tasks
- Conducting research in the area of network science.
- Co-supervising BSc, MSc, and PhD students on topics related to data science and network science.
- Serving as a senior member of the CNS research group.
- Engaging in organizing activities in the computer science institute and within the different network science initiatives in Leiden and the Netherlands.
- Securing additional external funding for research (in collaboration with supervisor).
Salary
- A salary ranges from € 2.960,- tot € 4.670,- gross per month
- Leiden University offers an attractive benefits package with additional holidays (8%) and end-of-year bonuses (8.3%), training and career development, and sabbatical leave.
- Candidates from outside the Netherlands may be eligible for a substantial tax break and fixed compensation for relocation costs.
Job Requirements
Applicants should have the following qualifications:
- A PhD in computer science or a related field (e.g., mathematics, physics, or computational social science), with a strong track record in network science (or complex networks / social network analysis).
- Excellent writing skills and proficiency in the English language demonstrated through published first-author papers in respected and relevant conference proceedings or journals.
- Experience with programming in Python, and/or R, and/or C++.
- Able to work independently, in a team, and in a student (co-)supervisory role.
- An academic, creative and curious mindset.
Application Process
Interested applicants can apply and ensure that they attach the following:
- A CV including Google Scholar profile URL, listing relevant academic activities thus far.
- A short cover letter of at most 1 page detailing the motivation to apply for the position.
- Names and contact details of at least two people that can be contacted for reference (who have agreed to be contacted).
- A research proposal of at most 2 pages describing the network science research idea they wish to work on during their appointment.
- A recent writing example (paper or thesis) that they are proud of reflects their academic writing skills.
To apply, click here.
Application Deadline: September 09, 2022.
For more information, visit the official site.
