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Paid Internship
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12Open Positions

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  • MSCA Doctoral Student in SecReSy4You Network on Critical Cyber-Physical Systems Security and Resilience with a Focus on Secure Control Systems under Uncertainty

    Uppsala universitet (Uppsala University)
    Uppsala, Sweden
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MSCA Doctoral Student in SecReSy4You Network on Critical Cyber-Physical Systems Security and Resilience with a Focus on Secure Control Systems under Uncertainty

Uppsala universitet (Uppsala University)
Found 3 weeks ago
Location
Uppsala, Sweden
Duration (Months)
36 Months
Time
Full-time
Work Mode
Not disclosed
Salary
approximately 37,000 SEK/month
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • automatic control
  • systems theory
  • C
  • C++
  • Python
  • Julia
  • Matlab
  • machine learning
  • cybersecurity
  • computer systems

Soft Skills

  • creativity
  • thoroughness
  • structured approach to problem-solving
  • collaborative ability
  • capacity to communicate effectively
  • work independently
  • work as part of a team

Job Description

The project aims to develop new theories and methods for enhancing the security of control systems in the presence of strategic, realistically constrained adversaries and probabilistic uncertainty. Uncertainty can play an interesting dual role in security. The adversary may seek to obfuscate their actions within the defender’s uncertainty. The defender can exploit the adversary’s lack of full knowledge and carefully inject additional uncertainty to obfuscate the system’s vulnerabilities, as in moving-target defense. Furthermore, implementation details and cross-layer interactions with communication and hardware can further affect the actions available to the adversary. We seek to develop analysis and design algorithms that incorporate cross-layer information and account for trade-offs between nominal performance, resilience to undetectable attacks, and levels of uncertainty at the operator and adversary. The exact details of the project will be decided in a dialogue between the student and supervisors. As part of an MSCA Doctoral Network, the project includes extended research visits abroad of up to 6 months in total. Planned supervisors are Assoc. Prof. André Teixeira and co-supervisor Prof. Christian Rohner.

Requirements

  • hold a Master’s (second-cycle) degree in electrical and computer engineering, engineering physics, computer science, applied mathematics, or a closely related field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.
  • Very good academic performance in previous studies.
  • Solid knowledge in automatic control and systems theory.
  • Good proficiency in programming (e.g. in C, C++, Python, Julia, or Matlab).
  • High-quality MSc thesis (or equivalent) or other independent written work.
  • Excellent written and oral communication skills in English.
  • Personal characteristics such as a good level of creativity, thoroughness, and/or a structured approach to problem-solving.
  • not have a doctoral degree at the time of recruitment and not be enrolled in a doctoral program.
  • The MSCA mobility rule requires applicants not to have resided or carried out their main activity (work, studies, etc.) in the country of their host organization (Sweden) for more than 12 months in the 3 years immediately prior to the recruitment date.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • machine learning
  • cybersecurity
  • computer systems
▶Apply Now

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