Monthly Archives: November 2018

Hiring for the Cambridge Cybercrime Centre (again!)

As recently posted, we currently advertising a post (details here) where “we expect that the best candidate will be someone from a sociology or criminology background who already has some experience analysing large datasets relating to cybercrime” — and now we have a second post for someone with a more technical background.

We seek an enthusiastic researcher to join us in collecting new types of cybercrime data, maintaining existing datasets and doing innovative research using our data. The person we appoint will define their own goals and objectives and pursue them independently, or as part of a team.

An ideal candidate would identify cybercrime datasets that can be collected, build the collection systems and then do cutting edge research on this data – whilst encouraging other academics to take our data and make their own contributions to the field.

We are not necessarily looking for existing experience in researching cybercrime, although this would be a bonus as would a solid technical background in networking and/or malware analysis. We do seek a candidate with strong programming skills — and experience with scripting languages and databases would be much preferred. Good knowledge of English and communication skills are important.

Details of this second post, and what we’re looking for are in the job advert here: http://www.jobs.cam.ac.uk/job/19543/.

Hiring for the Cambridge Cybercrime Centre

We have a further “post-doc” position in the Cambridge Cybercrime Centre: https://www.cambridgecybercrime.uk.

We are looking for an enthusiastic researcher to join us to work on our datasets of posts made in “underground forums”. In addition to pursuing their own research interests regarding cybercrime, they will help us achieve a better understanding of the research opportunities that these datasets open up. In particular, we want to focus on establishing what types of tools and techniques will assist researchers (particularly those without a computer science background) to extract value from these enormous sets (10’s of millions of posts) of data. We will also be looking to extend our collection and need help to understand the most useful way to proceed.

We have an open mind as to who we might appoint, but expect that the best candidate will be someone from a sociology or criminology background who already has some experience analysing large datasets relating to cybercrime. The appointee should be looking to develop their own research, but also be prepared to influence how cybercrime research by non-technical researchers can be enabled by effective use of the extremely large datasets that we are making available.

Details of the posts, and what we’re looking for are in the job advert here: http://www.jobs.cam.ac.uk/job/19318/.