Security Threat Intelligence hybrid workflows

For security threat intelligence humans and artificial intelligence collaborate to obtain actionable intelligence. Their sources and methods often have significant uncertainties and biases. Experts are aware of such limitations but lack formal means to handle these uncertainties in their daily work. You will collectively work towards the high-level goals of building a "metadata of uncertainty'' for threat intelligence (in both machine-readable and also human-interpretable forms) and validating it empirically. Intelligence agencies could then explicitly reason about the trade-off between accuracy, proportionality, privacy and cost-effectiveness of investigations. This contributes to using AI for a better security and securing AI for a better society.

Do you want to advance the state of the art in this exciting interdisciplinary topic?

Your duties

• To contribute towards solving a key scientific challenge in the area of security and intelligence
• To design, build and test an automated approach to represent and analyse quantifiable and domain-specific notions of uncertainty and interface with human analysts.
• Identify and capture the quantifiable uncertainty-interactions of threat intelligence practices and understand how the uncertainty is perceived and handled by humans in decision making processes.
• To help design and conduct experimental and empirical studies, possibly including controlled experiments, descriptive and observational studies, case studies with industrial partners, interview and survey studies
• To work part of a team of fellow researchers and students, share research ideas, results, and effectively communicate progress to produce top quality results. Part of the work will be at Thales/TNO premises.
• To develop the necessary empirical protocols and measures and package them for broader impact (e.g., for study replications from other research fields or by industry and public administration partners)
• Writing scientific publications as the main driving force and as co-author, attending international conferences and workshops to present own work and maintain up-to date with latest research findings
• Support educational activities related to one's research field.

We accept applications from students who have not yet completed their master thesis but plan to do so within a few months. We are looking for applicants who have an outstanding education that is roughly equivalent to a MSc in Artificial Intelligence, Computer Science, Security, Software Engineering, or other related topics with a proven interest in any of the above areas.

Essential requirements:

• MSc degree in Artificial Intelligence, Computer Science, Security, Software Engineering, or related field OR ongoing Master student close to completion (few months)
• A keen interest in interdisciplinary research in AI for a better security and securing AI for a better society
• Fluency in speaking and writing in the English language and good communication skills (interpersonal and presentation skills)
• Solid knowledge of Security, graph-algorithms and threat intelligence
• Solid knowledge of Statistical and analytical skills
• Solid knowledge of programming languages used in knowledge graph analysis, ontology languages (Neo4J, Python,...) and languages for statistical analysis (e.g., R)
• (Ideally) Knowledge of designing and conducting algorithm testing and performance measurements
• (Ideally) Knowledge of designing and conducting empirical studies
• (Ideally) Some experience with modelling and verifying security properties
• (Ideally) Some experience analyzing data collected with human participants
• Applicants would need to pass a security screening to be able to interact with security analysts

Fixed-term contract: 18 months.

A challenging position in a socially involved organization. The salary will be in accordance with university regulations for academic personnel and amounts €2,541 (PhD) per month during the first year and increases to €3,247 (PhD) per month during the fourth year, based on a full-time employment. The job profile: is based on the university job ranking system and is vacant for at least 0.8 FTE.

The appointment will initially be for 18 months (including 2 months probation). After a satisfactory evaluation of the initial appointment, the contract will be extended for a total duration of 4 years.

Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:

• a maximum of 41 days of annual leave based on full-time employment,
• 8% holiday allowance and 8.3% end-of-year bonus,
• solid pension scheme (ABP),
• contribution to commuting expenses,
• optional model for designing a personalized benefits package

Vrije Universiteit Amsterdam

The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavor - from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences.

Vrije Universiteit Amsterdam is home to more than 30,000 students. We employ over 5,500 individuals. The VU campus is easily accessible and located in the heart of Amsterdam's Zuidas district, a truly inspiring environment for teaching and research.

Diversity
We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences.

The Faculty of Science
The Faculty of Science inspires researchers and students to find sustainable solutions for complex societal issues. From forest fires to big data, from obesity to medicines and from molecules to the moon: our teaching and research programmes cover the full spectrum of the natural sciences. We share knowledge and experience with leading research institutes and industries, both here in the Netherlands and abroad.

Working at the Faculty of Science means working with students, PhD candidates and researchers, all with a clear focus on their field and a broad view of the world. We employ more than 1,250 staff members, and we are home to more than 11,000 students.

About Thales

Thales Research and Technology - TRT has expertise in human factors, modeling and reasoning with uncertainty and AI-based information fusion with humans in the loop. TRT will contribute to technical solutions supporting the implementation of its software framework and past experience in multiple related domains, such as law enforcement/dark net, crisis management, TI in coalition operations.

About TNO

TNO was founded in 1932 and is an independent research organization employing 3500 people. TNO connects people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way. TNO is a major player in a growing international network of leading scientific institutes, companies with ambitious development profiles, universities and other partners in knowledge. The phd candidate will have the opportunity to interact with the R&D team focusing on deploying A.I. technology to improve (military) intelligence processes.