1 Doctoral Student (m/f/d) / Dept. Molecular Metabolism and Precision Nutrition

Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke; Deutschland; Sur place; EUR 29 000 - 38 000; Plein temps

Avantages offerts par ce poste

30 days vacation

Corporate Benefits

Jobticket for public transport

Parking available

Résumé du poste

Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke invites applications for a Doctoral Student to investigate circadian and metabolic regulation via diet. You will contribute to a human study on dietary patterns and 24-hour glucose in diverse participants.

The role involves coordinating studies, handling samples, and applying bioinformatics to omics data, with opportunities for publication and PhD progression.

Qualifications

• MSc or Diploma in nutritional sciences, molecular biology, biochemistry, or related biological/medical field.
• Additional qualification in bioinformatics or digital health is preferred.
• Experience in planning human studies and nutritional data analysis.

Responsabilités

• Coordinate study activities and assist in participant examinations.
• Analyze dietary protocols, questionnaires, and biosamples.
• Perform biochemical and molecular analyses and process 24-hour data.
• Present research results at colloquia and conferences.

Connaissances

MSc in nutritional sciences

Molecular biology

Biochemistry

Programming in R/Python

Human study planning

Bioinformatics

Formation

Master Degree or equivalent

Outils

R

Python

Omics data analysis

Description du poste

Organisation/Company Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke Research Field Biological sciences » Nutritional sciences Biological sciences » Biology Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Nov 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026_W13_E Is the Job related to staff position within a Research Infrastructure? No

The Department of Molecular Metabolism and Precision Nutrition investigates hormonal and molecular mechanisms involved in the nutritional regulation of the human metabolism. Currently, the focus of the department lies on the role of the circadian clock in metabolic regulation by nutrition. The department is looking for

1 Doctoral Student (m/f/d)

starting on January 1st, 2027.

The successful candidate will contribute to a human study involving the metabolic phenotyping of participants with and without type 2 diabetes. This project aims to investigate the relationship between daily dietary patterns and 24-hour glucose fluctuations in healthy individuals and participants with prediabetes or type 2 diabetes. Among other objectives, the study aims to identify the individual lifestyle‑related, metabolic, and molecular factors that predict metabolic responses to diet.

Tasks

• Support of study coordination, study participant’s examination, and processing of blood and adipose tissue samples
• Analysis of dietary protocols and questionnaires
• Biochemical and molecular analysis of biosamples
• Analysis of digital 24-hour glucose, nutrition, and activity data
• Analysis of multimodal study data using machine learning algorithms
• Preparation of publications
• Presentation of research results (colloquia, conference contributions)

The advertised position isavailable for 3 years subject to the approval of third‑party funding.

Where to apply

E-mail [e-mail]

Requirements

Research Field Biological sciences » Nutritional sciences Education Level Master Degree or equivalent

Research Field Biological sciences » Biology Education Level Master Degree or equivalent

Research Field Chemistry » Biochemistry Education Level Master Degree or equivalent

Skills/Qualifications

• MSc degree/Diploma in in nutritional sciences, molecular biology, biochemistry, or another biological/medical field
• Additional qualification in bioinformatics, digital health, or a similar field is preferred
• Experience in planning and conducting human studies and nutritional data analysis
• Proficiency in programming languages such as R or Python
• Experience in molecular biology lab work and bioinformatic analysis of omics data (e.g., transcriptome and lipidome data)
• High motivation and ability to work in interdisciplinary collaboration and in a diverse research environment
• Very high level of written and spoken English and German

Languages ENGLISH Level Excellent

Languages GERMAN Level Excellent

Additional Information

• Intensive scientific support, close collaboration with cooperating institutions and enrolment in a local PhD program
• Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment
• Salary will be paid in accordance with TV-L, level 13 (65%)
• Opportunities for targeted further education and professional development
• Family-friendly working conditions (certificate “audit berufundfamilie”)
• Supporting of mobility with a jobticket for using the public transport
• Easy accessibility by public transport or car (including free parking)
• 30 days of vacation
• Participation in the benefits program for employees ("Corporate Benefits")

Eligibility criteria

We promote the employment of people with severe disabilities and are committed to equal opportunities for them. Applicants with severe disabilities will be given preferential consideration if they have the same qualifications.

Selection process

For further information please do not hesitate to contact:
Prof. Dr. Olga Ramich
Head of the Department Molecular Metabolism and Precision Nutrition

We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6 para. 1 lit. b) GDPR, Art. 88 GDPR. For more information on the collection, processing and use of personal data by the German Institute of Human Nutrition as part of the application process and your rights under data protection law, please contact the Department of Human Resources and Social Services ( [e-mail] ).