[DFSci] Two postdocs in Digital forensics/Social network analysis and enriching of security data at NTNU, Norway

[Stefan]

Hi, we're announcing two postdocs at NTNU, Gjövik, in Norway (The Norwegian University of Science and Technology, the largest University in Norway). Deadline 16 October.

They're both in digital forensics; one within the area of massive
social network analysis with an application towards fraud and money
laundering, and one within the area of enriching security data:

"Analysis of social networks:

When we investigate Internet crime, economic crime etc. there are
often a dizzying number of actors and events. Finding out who/what is
central to the investigation and who/what is more on the periphery is
very important in order to be able to focus limited investigative
resources where they will have the most effect. This is complicated by
the fact that modern digital forensic analysis uses various
heterogeneous sources of information. Data rates are very high, data
formats are different, and it is very difficult to find relationships
in data that would be relevant for the investigation. The goal of the
project is to propose new methods for the analysis of one important
such relationship, the networks formed by various identified persons,
items, etc.

We are looking for a candidate possessing skills in, or related to,
algorithms for massive social network analysis, social network
analysis, graph theory, data-mining, data science, machine learning
and pattern recognition, information security in general, and digital
forensics or fraud investigation etc. in particular, interested in
solving problems of the analysis of connections between entities in
large collections of data.

More info at: https://www.jobbnorge.no/ledige-stillinger/stilling/129510/post-doctoral-fellowship-in-digital-forensics-algorithms-for-massive-social-network-analysis


Enriching security data:

"Modern digital forensic analysis uses various tools and heterogeneous
sources of information. Data rates are very high, data formats are
different and it is very difficult to find relationships in data that
would be relevant for the investigation. The goal of the project is to
propose new methods of so-called enriching data - various
labels/descriptors of relationships are added to a data set before
further processing/combining with other data sources. This may
speed-up the overall efficiency of the investigation. Machine learning
and pattern recognition techniques can be used in the process of data
enriching.
We are looking for a candidate possessing skills related to machine
learning and pattern recognition, data science, exact and approximate
search, information security in general and computer intrusion
detection in particular, interested in solving problems of enriching
large quantities of security data."

More info at: https://www.jobbnorge.no/ledige-stillinger/stilling/129514/post-doctoral-fellowship-in-digital-forensics

Best Regards, Stefan Axelsson