PhD Student

Job Posting Details

Location:

• Freising Leibniz-lsb@tum Apply Now

Summary:

• Working Hours: Part-time
• Type: Permanent position

Desired Skills & Knowledge:

• Machine Learning
• Python
• Solid Programming Experience
• Edge Data Analysis
• Administration
• Mobile App
• EVIDENT
• Engagement
• Flexibility

Our Benefits:

• Home office

Job Description:

Your Tasks:

• Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data

Your Profile:

The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX or PyTorch, is a plus. In addition to above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident prerequisites. The ability to work independently, outstanding team skills, and organizational aptitude round out the ideal profile.

We Offer You:

• A thorough induction into your area of responsibility
• A diverse range of training and development opportunities for professional and personal development
• Opportunities for health promotion and work-life balance
• An appreciative, collegial working atmosphere with flat hierarchies and short decision-making paths
• An interesting and responsible field of work in the context of non-university cutting-edge research
• Flexible working hours with the option of mobile working (home office)
• Company pension scheme (VBL) and annual bonus payment
• A motivated team that is looking forward to welcoming you!

Contact:

Please send your application, including a comprehensive CV and transcripts as well as names of three potential references, as a PDF file and stating the reference number 2026-01-S3-NK via email to: Anja Albrecht (Administration) recruiting.leibniz-lsb@tum.de.

We look forward to receiving your application!

As part of your application for a position at Leibniz-LSB@TUM, you will transmit personal data. Please refer to our data protection information in accordance with Article 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have taken note of the Leibniz-LSB@TUM data protection information.

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Profile:

Technical Requirements:

• Computer programming, Data Analysis, Deep Learning, Machine Learning, Python, Pytorch, Statistics

Personal Skills:

• Self-motivation, Teamwork

Education:

• Dissertation

Language Skills:

• English

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Application:

Apply Now

Industry:

Culture / Leisure activities

Employer:

Leibniz-lsb@tum

Address:

Leibniz-lsb@tum Lange Point 24 85354 Freising

Web:

http://www.leibniz-lsb.de

Benefits:

• Hybrid remote model

Salary:

• Not specified

Country Code:

• DE