Master Thesis Student (M/F/D) Confidential Computing

ANS GmbH; Sachsen; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

Adtran is seeking a Master Thesis Student (M/F/D) to join their Research & Development team in Munich. This role involves measuring and analyzing the overhead of confidential computing, including setting up testbeds and handling evaluations. Ideal candidates will have a Bachelor's degree in a relevant field, solid IT network knowledge, and good programming skills, particularly in Python. The position promotes a friendly and flexible work culture with numerous employee benefits.

Leistungen

Flexible working hours

Internal training program

Fitness and travel cost allowances

Employee discounts

Qualifikationen

• Bachelor's degree in Electrical Engineering, Physics or a related field.
• Fluent in oral and written English; knowledge of German is a plus.
• Ideally worked with confidential computing.

Aufgaben

• Measure the overhead of confidential computing and identify bottlenecks.
• Set up a testbed and test scenarios to evaluate confidential computing.
• Analyze overheads and propose or test measures for reduction.

Kenntnisse

Good programming skills in Python

Solid understanding of IT networks

Good presentation and communication skills

Innovative mindset

Ausbildung

Bachelor's degree in Electrical Engineering, Physics or related field

Jobbeschreibung

Master Thesis Student (M/F/D) Confidential Computing page is loaded

Master Thesis Student (M/F/D) Confidential Computing

Apply locations Munich ANS, Germany time type Full time posted on Posted 30+ Days Ago job requisition id R004280

Adva Network Security has built a fierce reputation for protecting packet optical networks. Founded by the industry’s leading security experts, our German-based organization helps operators of critical infrastructure, government agencies and enterprises security-harden their networks. Our company develops sophisticated protective controls for optical transport, Ethernet switching, network virtualization and related professional services. For more information, please visit advasecurity.com .

We are currently looking for a highly motivated Master Thesis Student (M/F/D) Confidential Computing to join our Research & Development team in Munich. We search for a student to measure the overhead of confidential computing and identify bottlenecks in competing implementations of confidential computing. The hardware and open-source repositories are available, but require the setup of a testbed and evaluation. Ideally, overheads are measured, analyzed, and reduced by improved operations, parallelization, etc.

Confidential computing is a promising technology for preserving data privacy by protecting data in use on shared hardware. The implementation of confidential computing is not standardized yet and depends on the manufacturer, e.g., AMD and Intel. Generally, confidential computing utilizes symmetric encryption algorithms within the GPU or CPU to preserve data privacy.

Principle duties and essential functions

• Compare different architectures for confidential computing

• Define applications and use cases based on literature

• Setu up a testbed and test scenarios to evaluate confidential computing

• Analyze overheads and propose or test measures for reduction and improved efficiency

• Participation in research and development projects

Knowledge, skills and experience required

• Bachelor’s degree in Electrical Engineering, Physics or a related field.

• Solid understanding of IT networks and information security principles.

• Good programming skills in Python or similar.

• Knowledge about computer architectures and operating systems.

• Foundation in cryptography.

• Ideally worked with confidential computing.

• Good presentation and communication skills.

• Innovative, highly motivated personality.

• Fluent in oral and written English, preferably also in German.

• Capability to think strategic, innovative, constructive and application oriented.

Benefits

• Possibility to work in an international, multicultural environment.

• Strong team-oriented and friendly work culture.

• Flexible working hours model and the possibility of remote work.

• Internal training program.

• Fitness-, travel cost- and kindergarten allowance as well as drinks and fruits for free.

• Employee discounts e. g. for events and branded products.

Are you interested?We look forwardtoreceiving your application.