Vacancy Sr Analyst in Machine Learning and Cybersecurity

Description

Work Description
We are looking for a specialist to join our team. We work in the joint of in Cybersecurity, Machine Learning, automotive embedded systems, security in mobile communications and reverse-engineering.
Your work will involve many different Cybersecurity-related tasks, including applied research and development of cybersecurity solutions. You should be flexible, able to learn and to adapt to the team needs in each different project.


What we expect

Your abilities should include most of the following:
• Good knowledge of state-of-the-art ML models, not just for Computer Vision (CNNs) but other architectures for other tasks. Experience with RL is a plus.
• Knowledge of ML security issues: adversarial examples, model copy, or recovery of training data, and possible countermeasures.
• Experience with data privacy, different ways to measure it and attacks.
• Knowledge of in-vehicle computer and networking technology: CAN bus, FlexRay, Auto Ethernet, AUTOSAR, QNX, AGL, V2X.
• Good programming experience. Programming experience in embedded systems is a plus.
• Experience with attacks using SDR, including protocol reverse-engineering.
• Being able to read and summarize research papers in Cryptanalysis, Cybersecurity and Machine Learning, and apply them.
• Pen-testing experience. Pen-testing embedded devices and experience with escape from hypervisors is a plus.
• Original thinking.
• Good general Cybersecurity knowledge: ciphers, protocols, usage of PKIs, SCA, FI, template attacks, secure boot, HSMs, TPMs,

What we expect
Required experience / knowledge / skills
• Master in Computer Science, Mathematics, Electronics, Industrial Engineering, Telecommunications.
• Strong ethics.
• Leadership and a make-do, problem-solving attitude.
Advantageous
• Research publications, patents, public projects.


What we offer

• A competitive salary (based on a 40-hour week), consistent with your level of education and experience
• An initial one-year contract with the prospect of an indefinite contract
• One extra month’s salary per year (‘13th month’), plus 8% holiday allowance annually
• 25 vacation days , 5 compensation days
• Flexible working hours
• Extensive training opportunities
• Pension and health insurance scheme
• A fast moving, innovative and international diverse working environment


Apply


If you feel you fit the description and you are interested in working within a fast growing, international and innovative organisation with a solid customer base, then please send your CV to hrm@navinfo.eu.

You can expect a challenging job with a market conforming employment package. For more information please contact the HRM department +31 40-711 35 56
By submitting your curriculum vitae, you thereby agree to having your personal information archived. Your application will be kept in the recruitment database of for one year. However, you will need to apply to each specific job that is of interest. Pre-employment screening of all external candidates is part of the selection process.


Apply online


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