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Mandatory Internship Applied Anomaly Detection for Multi-Channel Vision in Manufacturing

Bosch

Mandatory Internship Applied Anomaly Detection for Multi-Channel Vision in Manufacturing

Bosch

Renningen

·

On-site

·

Internship

·

3d ago

Apply now to Bosch Research and combine academic knowledge with real-world industrial impact. In this mandatory internship, you will support the development of advanced anomaly detection methods for industrial multi-channel vision systems used in quality assessment in series production. Our goal is to design robust deep-learning models that leverage vision features to reliably detect defects across varying products and manufacturing scenarios.

  • During the internship you will support the exploration of state-of-the-art approaches in anomaly detection and multi-channel vision and contribute to the development of generalizable models for quality assessment in industrial production.
  • You will implement, train and evaluate models using real production data, gaining hands-on experience with industrial-scale datasets and ensuring robustness for practical deployment.
  • Furthermore, you will work closely with experts from Research & Development and Production units, regularly sharing your progress and contributing to ongoing innovation in computer vision for manufacturing.
  • Education:

studies in the field of Computer Science, Machine Learning, Artificial Intelligence or comparable with very good grades

  • Experience and Knowledge:

knowledge of machine-learning fundamentals; very good programming skills in Python and in one deep learning framework (Py Torch or JAX)

  • Personality and Working Practice:

you excel at independently tackling complex tasks with a structured, analytical mindset, demonstrating a strong motivation to learn and maintaining clear communication throughout the process

  • Work Routine:

your on-site presence is required with the possibility to work remotely part of the time

  • Languages:

very good in English

Start:

according to prior agreement

Duration:

6 months (confirmation of mandatory internship required)

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, 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?

Matthias Kayser (Functional Department)
+49 711 811 40982
Petru Tighineanu (Functional Department)
+49 711 811 13878

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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模擬応募者数

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Boschについて

Bosch

Bosch

Public

Robert Bosch GmbH, commonly known as Bosch, is a German multinational engineering and technology company headquartered in Gerlingen, Baden-Württemberg, Germany. The company was founded by Robert Bosch in Stuttgart in 1886. Bosch is 94% owned by the Robert Bosch Stiftung, a charitable institution.

10,001+

従業員数

Gerlingen

本社所在地

レビュー

2.8

3件のレビュー

ワークライフバランス

2.5

報酬

3.0

企業文化

2.5

キャリア

2.8

経営陣

3.2

25%

友人に勧める

良い点

Global 500 company reputation

Professional management

Good resume value

改善点

Poor work hours

Forced resignations

Limited career alignment

給与レンジ

522件のデータ

Senior/L5

Senior/L5 · Business Development Manager - Press

1件のレポート

$175,455

年収総額

基本給

$152,570

ストック

-

ボーナス

-

$175,455

$175,455

面接体験

4件の面接

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 75%

ネガティブ 25%

面接プロセス

1

Application Review

2

HR Screen

3

Technical Interview

4

Hiring Manager Interview

5

Final Round

6

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm

Culture Fit