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Master Thesis Development of an Analytical Model for Predicting High-Frequency Impedance Spectrum of Planar Magnetics

Bosch

Master Thesis Development of an Analytical Model for Predicting High-Frequency Impedance Spectrum of Planar Magnetics

Bosch

Renningen

·

On-site

·

Full-time

·

4d ago

Soft-magnetic components, such as transformers and chokes, are essential in automotive power-electronic converters such as chargers or DC/DC-converters. They have a high impact on the overall device’s cost, size, and efficiency. To significantly improve these key components, Bosch research is looking for a master student who can shape this exciting topic.

  • During your thesis you will design an analytical model that accurately predicts the high-frequency impedance spectrum of planar transformers on printed circuit boards (PCBs), possibly based on a conductor model.

  • Using FEA tools, you will simulate the impedance spectrum of these planar transformers to validate and refine your models.

  • Furthermore you will independently conduct impedance spectrum measurements on real planar transformers on PCBs using a high-frequency impedance analyzer.

  • Lastly you will regularly present your progress and results, discuss them with the team, and comprehensively document your findings as part of your master's thesis.

  • Education: Master studies in Electrical Engineering or Physics with focus on Power Electronics and/or soft-magnetic components

  • Experience and Knowledge: first lab experience in electronics and good command of Matlab/Simulink; experience with FEM tools for electromagnetics is preferred

  • Personality and Working Practice: you work independently and approach tasks systematically, always proactively seeking and contributing new solutions

  • Work Routine: office attendance required

  • Languages: good in English

Start: according to prior agreement

Duration: 5 - 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?

Yutan Zhang (Functional Department)

+49 711 811 58754

Work #LikeABosch starts here: Apply now!

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other.Join in and feel the difference.

The Robert Bosch GmbH* *is looking forward to your application!

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About Bosch

Bosch

Bosch

Public

Robert Bosch GmbH is a multinational engineering and technology company that develops automotive components, industrial technology, consumer goods, and energy solutions. The company operates across multiple sectors including mobility solutions, industrial technology, consumer goods, and building technologies.

10,001+

Employees

Gerlingen

Headquarters

Reviews

3.7

10 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

4.1

Career

4.3

Management

2.9

72%

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Pros

Great people and team environment

Career development and learning opportunities

Good compensation and benefits

Cons

Poor work-life balance expectations

Management issues and favoritism

Lack of clear policies

Salary Ranges

711 data points

Senior/L5

Senior/L5 · Business Development Manager - Press

1 reports

$175,455

total / year

Base

$152,570

Stock

-

Bonus

-

$175,455

$175,455

Interview Experience

7 interviews

Difficulty

2.4

/ 5

Duration

14-28 weeks

Offer Rate

71%

Experience

Positive 14%

Neutral 86%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview Round 1

4

Technical Interview Round 2

5

HR Round/Salary Negotiation

6

Offer Extended

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Project-based Assessment