Master Thesis in optical characterisation and new methods for sun screen an at Beiersdorf AG
Hamburg, Hamburg, Germany -
Full Time


Start Date

Immediate

Expiry Date

05 Jun, 25

Salary

0.0

Posted On

06 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.
Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values – CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by valuing the uniqueness of each individual and being committed to equal opportunities for all.

Responsibilities

During your Master’s thesis, you will become an integral part of the innovative research and development team at NIVEA Sun. Right from the start, you will work closely with the team and gain practical experience in the development and evaluation of sun protection products.

Your work will focus on a new ISO method for determining the sun protection factor (SPF). Using simplified model formulations, you will work on a fundamental understanding of how and why specific materials and their interactions affect the results of the ISO method and thus make an important contribution to the successful future of Nivea Sun.

  • Formulation of hypotheses
  • Exchange with analytical departments (chemical and physical analysis)
  • Independent planning, execution and documentation of relevant experiments and measurements
  • Evaluation and processing of measurement data
  • Interpretation, classification and communication of results
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