Postdoc in Cyber security: Threat modeling and attack simulations
KTH Royal Institute of Technology Increased digitization makes us increasingly vulnerable to cyber attacks, where computers are compromised by malicious actors in order to cause damage and disruption. The higher t... he degree of digitization, the more devastating the potential attacks.
In order to mitigate cyber threats, vulnerabilities first need to be identified. This is generally very difficult, because it requires (i) a detailed understanding of the system architecture, and (ii) significant security expertise. The task can be significantly facilitated by dedicated engineering tool support in the form of threat modeling and attack simulation. Threat modeling supports requirement no 1 by documenting the design of the system architecture. Attack simulation supports requirement no 2 by automating the identification of vulnerabilities.
The main goal with this work is to develop threat modeling and attack simulation approaches. Programming skills are required, and skills or interest in ethical hacking is encouraged.
The Division of Network and Systems Engineering (Department of Computer Science) at KTH Royal Institute of Technology does research and education in cyber security, threat modeling, attack simulations, ethical hacking, and management of large scale complex IT environments. The division currently has ten faculty members, ten post docs, and about 20 PhD students.
Postdoc in Cyber security: Attack simulations and mitigations
KTH Royal Institute of Technology The Division of Network and Systems Engineering at the school of Electrical Engineering and Computer Science is conducting research relating attack graphs as a means to analyze th... e security posture of computer systems. Attack graphs are formal (often probabilistic) models over potential attack vectors in systems that encodes the difficulty of succeeding with attacks given various system conditions and defense mechanisms. Our research is largely devoted to developing various solutions for automating the generation of attack graphs. This includes for instance languages and formal methods for attack graph generation, automatic attack process mining through sensors and system indicators, data-driven attack graph tuning (based e.g. on threat intelligence), and optimization/self-learning techniques for secure design under economic and technical constraints.
The research results aim to support both security engineers working in contexts of Security Operation Centers (SOC) and Computer Security Incident Response Teams (CSIRT) as well as in more tactical development and maintenance projects. We work closely organizations in the critical infrastructure domain, in particular the power sector, as well as the defense sector. We are involved in several national and international research projects and programs, including two H2020 projects.
We are offering a two-year doctoral position in which the candidate will participate in ongoing research projects and contribute to the undergraduate education.
Paris 1 Panthéon - Sorbonne University This PhD is a continuation of our works on intentional process mining. It is supervised by Rebecca Deneckere, under the direction of Prof Salinesi. The 3 year PhD contract i... ncludes teaching duty, and fan be completed by a complimentary 1 year contract to terminate the thesis. Starts in september 2020
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Postdoc Positions in Process Mining at RWTH Aachen University
RWTH Aachen University The Process and Data Science (PADS) group is continuously looking for ambitious Postdocs that want to do cutting-edge research in process mining. We look for people that want to ... continue a career in science and build up expertise in one of the globally leading groups in Business Process Management and Data Science.
The scope of PADS includes all topics where discrete processes are analyzed, reengineered, and/or supported in a data-driven manner (www.pads.rwth-aachen.de). Process-centricity is combined with an array of Data Science techniques (machine learning, data mining, visualization, AI, and Big data infrastructures). The main focus is on Process Mining (including process discovery, conformance checking, performance analysis, predictive analytics, operational support, and process improvement).
The PADS group works on the whole spectrum ranging from theoretical research to applied research, also within the context of the Fraunhofer Institute for Applied Information Technology (FIT) and the Cluster of Excellence Internet of Production (IoP).
RWTH Aachen University is one of the leading technical universities in Germany (typically ranked in top-3). It is one of the so-called Universities of Excellence, and the Department of Computer Science at RWTH is one of the strongest in Europe with over 30 professors.
Appointments are 100% and based on the federal wage agreement (Tarifvertrag der Länder or TV-L, see http://oeffentlicher-dienst.info/tv-l/). The salaries are very high compared to most other countries, but applicants are expected to be self-propelling, autonomous, and function as employees (rather than students).
PhD Positions in the Process and Data Science (PADS) group at RWTH Aachen University
Process and Data Science (PADS), RWTH Aachen University The Process and Data Science (PADS) group is continuously looking for bright PhDs that want to do cutting-edge research in process mining. The PADS group is one of the globally le... ading groups in Business Process Management and Data Science. It is probably the best place to become a process mining expert (independent of whether you continue in academia or industry)
The scope of PADS includes all topics where discrete processes are analyzed, reengineered, and/or supported in a data-driven manner (www.pads.rwth-aachen.de). Process-centricity is combined with an array of Data Science techniques (machine learning, data mining, visualization, AI, and Big data infrastructures). However, currently, the main focus is on Process Mining.
The PADS group works on the whole spectrum ranging from theoretical research to applied research, also within the context of the Fraunhofer Institute for Applied Information Technology (FIT) and the Cluster of Excellence Internet of Production (IoP).
RWTH Aachen University is one of the leading technical universities in Germany (typically ranked in top-3). It is one of the so-called Universities of Excellence, and the Department of Computer Science at RWTH is one of the strongest in Europe with over 30 professors.
Appointments are 100% and based on the federal wage agreement (Tarifvertrag der Länder or TV-L, see http://oeffentlicher-dienst.info/tv-l/). The salaries are very high compared to most other countries, but applicants are expected to be self-propelling, autonomous, and function as employees (rather than students).
Eindhoven University of Technology The Department of Industrial Engineering & Innovation Sciences of the Eindhoven University of Technology has a vacancy for an Assistant Professor in Information Systems (Tenur... e track, 1,0 fte) ====== The Information Systems (IS) group studies on concepts, methods, techniques, and tools for the design, optimization, innovation, and data-driven analysis of information systems within business networks and society. Research aims at business intelligence, business process intelligence, business process engineering, or business model and service systems engineering for digital services. The research approach is model-centric and engineering-oriented, integrating basic and applied research with contemporary real-world cases. Main application domains are the services industry, mobility, health, supply chains and logistics, and high-tech manufacturing. The group operates in both a strong international research network and an extensive international industry network. ====== The assistant professor focuses on research in either one of the areas of business intelligence, business process intelligence, business process engineering, or business engineering and service systems engineering for digital services. ====== Further information concerning the position itself is available from dr.ir. Remco Dijkman (r.m.dijkman@tue.nl).
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PhD student in Information Systems/Business Engineering
Eindhoven University of Technology The Information Systems Group of the School of Industrial Engineering at Eindhoven University of Technology is seeking a PhD student in Information Systems/Business Engineering. ... ==== The PhD project will be conducted at Eindhoven University of Technology, one of the world’s leading research universities (ranked by the Times Higher Education Supplement). It is in particular well‐known for its joint research with industry (ranked number one worldwide by the Centre for Science and Technology Studies). ==== The project is located in the Information Systems (IS) group. The group studies on concepts, methods, techniques, and tools for the design, optimization, innovation, and data-driven analysis of information systems within business networks and society. The group operates in both a strong international research network and an extensive international industry network, particularly in the domains of mobility, health, services, supply chains and logistics, and high-tech manufacturing. ==== The PhD project will focus on the design and application of concepts, methods, tools, and theories in either one of the areas of service systems engineering, business process management, or business model management. ==== The PhD candidate will be a member of the research team that has been running a series of industry and EU-funded research projects on the above-mentioned topics in the mobility, logistics, services, and healthcare domains. ==== Intended starting date: September 2020 ==== Further information concerning the position is available from Dr. Oktay Turetken (o.turetken@tue.nl).
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PhD position Privacy/Trust in Process Mining
TU Eindhoven I will have a fully funded PhD position available on Privacy/Trust topics in Process Mining. Please contact me for further details if you are interested.
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PhD on Multi-perspective Process Mining
Fondazione Bruno Kessler A four-year PhD grant on Multi-perspective Process Mining is offered by the faculty of Computer Science of the Free University of Bozen-Bolzano in Italy jointly with the Process &... amp; Data Intelligence research unit at Fondazione Bruno Kessler, Trento, Italy, where most of the research activities will be conducted. The grant amounts to 68,000 € (i.e., 17,000 euro per year, net after taxes); for research visits abroad the grant can increase up to 50%. Substantial extra funding is available for participation to international conferences, schools, workshops, research visits. The language of the PhD programme is English.
Deadline for applications: 13 of July 2020. The PhD will be conducted under the joint supervision of Dr. Chiara Di Francescomarino. and Dr. Chiara Ghidini.
Within the Process Mining field, we are looking for PhD students interested in:
- Machine Learning; - Data Analytics; - Predictive Process Monitoring; - Business process discovery and monitoring.
Starting point for a PhD proposal: Process mining is a family of methods that aim at analyzing business processes based on their observed behavior recorded in event logs. Sometimes, however, additional knowledge about the process execution is also available (e.g., knowledge provided by domain experts, knowledge related to rules that have to be observed). This knowledge can be leveraged in order to improve the accuracy of the results of state-of-the-art process mining techniques. The candidate will work towards combining the information gathered from event logs and additional knowledge in different process mining scenarios, such as process discovery and predictive process monitoring. The work will put together theoretical and methodological aspects, ranging from the capability to identify the correct representation for a complex problem up to the development of process mining algorithms and tools.
Link:http://www.unibz.it/en/faculties/computer-science/phd-computer-scienceSee More >>
PhD on Model-based Programming
Universitat Politécnica de Valencia Doctoral Thesis on Conceptual Programming and Model-driven Engineering under the supervision of Prof. Òscar Pastor. 3 years. Important Constraint: have a degree AFTER January... 2016
Link:
None
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