Register Login

  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
Get Resume Score
Germany Jobs Expertini

Student Assistant in Applied Machine Learning Job Opening In Berlin – Now Hiring Fraunhofer-Gesellschaft

Student Assistant in Applied Machine Learning

    Germany Jobs Expertini Expertini › Germany › Jobs › Berlin › Other Educational Instruction And Library Occupations › Student Assistant In Applied Machine Learning

Job description


Future.

Discover.

Together.
Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications.

We are a world leader in researching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos.

The Applied Machine Learning (AML) group is part of the Department for Artificial Intelligence and is looking for a student research assistant to strengthen scientific activities in the context of interdisciplinary cooperation.

In the AML working group, new innovative solutions are being researched and developed that will be used in current and future key topics.

Become a part of our team and join us on our journey of research and innovation!


 


What you will do



  • Test new deep learning architectures

  • Analysis and preprocessing of different data types (texts, images,etc.)

  • Review latest literature and data

  • Orchestration and documentation of deep learning experiments

  • Processing and visualization of huge amounts of data

  • Applied science in exciting projects

  • Preparation of presentations

  • Testing software and frameworks


 


What you bring to the table



  • Enrolled in a master's programme of computer science, mathematics, statistics, computational linguistics, physics, electrical engineering, or similar with good grades

  • PyTorch skills: experience in training machine learning models with one or more GPUs; ability to work with pre-existing codebases and get a training run going

  • Research interest in one or more of the following: Natural Language Processing, Reinforcement Learning for LLM's, Information Retrieval, Multi-modal Learning, Self-supervised Learning,  Computer Vision

  • Keen interest in training LLM's on new tasks and domains

  • Understanding of deep learning fundamentals

  • Strong data engineering skills in Python with knowledge of NumPy, Pandas, SQL, Bash, Docker, git, etc.

  • Willingness to clean large, messy datasets

  • Excitement about clean, structured code

  • Conscientiousness in implementing, testing, and documenting algorithms

  • High degree of proficiency in spoken and written English


 


What you can expect



  • Fascinating challenges in a scientific and entrepreneurial setting

  • Attractive salary

  • Modern and excellently equipped workspace in a central location

  • Great and cooperative working atmosphere in an international team

  • Flexible working hours

  • Hybrid work environment

  • Opportunities to write a master's thesis (depending on topic suitability)


 


The position is initially limited to 1 year.

An extension is explicitly desired.


 


The monthly working time is 80 hours.

This position is also available on a part-time basis.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity.

Severely disabled persons are given preference in the event of equal suitability. 


With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process.

As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 


Interested?

Apply online now.

We look forward to getting to know you!
 



Mr. Raunak Agarwal


Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 


 


Requisition Number: 81511                Application Deadline: 10/31/2025


 

Required Skill Profession

Other Educational Instruction And Library Occupations


  • Job Details

Related Jobs

ImFusion GmbH hiring (Senior) Research Scientist for Applied Machine Learning Job in Munich, Bavaria, Germany
ImFusion GmbH
Munich, Bavaria, Germany
Machine Learning Reply hiring MACHINE LEARNING CONSULTANT Job in Düsseldorf, North Rhine-Westphalia, Germany
Machine Learning Reply
Düsseldorf, North Rhine-Westphalia, Germany
Machine Learning Reply hiring MACHINE LEARNING CONSULTANT Job in Berlin, Berlin, Germany
Machine Learning Reply
Berlin, Berlin, Germany
Machine Learning Reply hiring Machine Learning Consultant Job in Munich, Bavaria, Germany
Machine Learning Reply
Munich, Bavaria, Germany
Machine Learning Reply hiring Machine Learning Consultant Job in Munich, Bavaria, Germany
Machine Learning Reply
Munich, Bavaria, Germany
Machine Learning Reply hiring Machine Learning Consultant Job in Berlin, Berlin, Germany
Machine Learning Reply
Berlin, Berlin, Germany
Machine Learning Reply hiring Machine Learning Consultant Job in Berlin, Berlin, Germany
Machine Learning Reply
Berlin, Berlin, Germany
Machine Learning Reply hiring MACHINE LEARNING CONSULTANT Job in Leipzig, Saxony, Germany
Machine Learning Reply
Leipzig, Saxony, Germany
Machine Learning Reply hiring MACHINE LEARNING CONSULTANT Job in Munich, Bavaria, Germany
Machine Learning Reply
Munich, Bavaria, Germany
Machine Learning Reply hiring MACHINE LEARNING CONSULTANT Job in Cologne, North Rhine-Westphalia, Germany
Machine Learning Reply
Cologne, North Rhine-Westphalia, Germany
Reliant AI hiring Machine Learning Engineer Job in Berlin, Berlin, Germany
Reliant AI
Berlin, Berlin, Germany
TripleTen hiring Machine Learning Engineer Job in Berlin, Berlin, Germany
TripleTen
Berlin, Berlin, Germany
Zendesk hiring Staff Machine Learning Scientist Job in Berlin, Berlin, Germany
Zendesk
Berlin, Berlin, Germany
AImera Group GmbH hiring Senior Machine Learning Engineer Job in Scharbeutz, Schleswig-Holstein, Germany
AImera Group GmbH
Scharbeutz, Schleswig-Holstein, Germany
Machine Learning Reply hiring DEVOPS ENGINEER || MACHINE LEARNING Job in Cologne, North Rhine-Westphalia, Germany
Machine Learning Reply
Cologne, North Rhine-Westphalia, Germany
Machine Learning Reply hiring DEVOPS ENGINEER || MACHINE LEARNING Job in Munich, Bavaria, Germany
Machine Learning Reply
Munich, Bavaria, Germany
Machine Learning Reply hiring DEVOPS ENGINEER || MACHINE LEARNING Job in Berlin, Berlin, Germany
Machine Learning Reply
Berlin, Berlin, Germany
Zendesk hiring Staff Machine Learning Scientist Job in Germany
Zendesk
Germany

Unlock Your Student Assistant Potential: Insight & Career Growth Guide


Real-time Student Assistant Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Student Assistant in Berlin, Germany, highlighting market share and opportunities for professionals in Student Assistant roles.

6352 Jobs in Germany
6352
582 Jobs in Berlin
582
Download Student Assistant Jobs Trends in Berlin and Germany

Are You Looking for Student Assistant in Applied Machine Learning Job?

Great news! is currently hiring and seeking a Student Assistant in Applied Machine Learning to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Fraunhofer-Gesellschaft adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Germany laws and regulations

What Is the Average Salary Range for Student Assistant in Applied Machine Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Student Assistant in Applied Machine Learning?

Key qualifications for Student Assistant in Applied Machine Learning typically include Other Educational Instruction And Library Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Student Assistant in Applied Machine Learning?

To improve your chances of getting hired for Student Assistant in Applied Machine Learning, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Student Assistant in Applied Machine Learning Job Success

Fraunhofer-Gesellschaft interview tips for Student Assistant in Applied Machine Learning

Here are some tips to help you prepare for and ace your Student Assistant in Applied Machine Learning job interview:

Before the Interview:

Research: Learn about the Fraunhofer-Gesellschaft's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Student Assistant in Applied Machine Learning interview at Fraunhofer-Gesellschaft, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Fraunhofer-Gesellschaft's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Student Assistant in Applied Machine Learning Positions

Setting up job alerts for Student Assistant in Applied Machine Learning is easy with Germany Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!