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C/ Menéndez Pelayo s/n 50009 Zaragoza universa@unizar.es 976761997

INT25-2481-BÉLGICA

Titulaciones
química
Idiomas
Inglés
Información de la plaza

PERFIL REQUERIDO DEL CANDIDATO:

  • Conocimientos necesarios: 

Capacity for analysis and synthesis. Good Interpersonal skills. Elementary computer skills. Critical and self-critical capacity. Capacity to learn. Capacity to apply knowledge in practice. Capacity to adapt to new situations. Concern for quality. Ability to work autonomously

  • Conocimientos valorables:

Problem solving. The will to succeed. Capacity to generate new ideas (creativity)

  • Características personales:

Good Interpersonal skills. Will to work in an international environment with people of different background

CONDICIONES DE LAS PRÁCTICAS:

  • Tipo de institución: Empresa
  • Actividad de la Empresa/Institución: Research and development in the fields of laundry and home care products
  • Localidad: GRIMBERGEN
  • Tareas a desarrollar:

Our projects span over different topics

Formulation: Find the formulation and chemistry that best delivers the product performance (how best a product cleans, makes foam, leaves surfaces shining etc.) as measured with our standard technical methods. Understand mechanism on why different chemistries deliver level of performance measured in technical methods

Product Research: Understand consumer needs and translate it into product specification 

Test method development: Develop new methods to characterize product performance (how much /how fast a product cleans, makes foam, leaves surface shining etc.) or improve current methods (validate new conditions, improve accuracy etc.)

Process development: Once we find the best formulation in the lab we need to know how to make it in the plant. So, we need to study the transformations that can happen in the plant during the product making process and deliver the transformations we want to deliver and avoid the ones we want to avoid.

Empirical modeling: Once we have enough data from experiments, we generate empirical models to fit the data, so we can predict the outcome of a future experiment leveraging the model instead of running the experiment in the lab or pilot plant to save time and resources.

Data science: These projects are less focused on the product or the process but more on data. The general purpose is to be able to manage big quantity of data to extract as much as possible the information the data contains

  • Fecha de comienzo: 01/07/2025
  • Número de plazas: 3
  • Horario:  M-F: 8:00-15:00h
  • Ayuda económica voluntaria mensual de la empresa/institución: >500€
  • Beca Neta Mensual de UNIVERSA (cantidad mensual a ingresar al becario): 931 €
  • Valoración de becarios anteriores a 2018 (de 0 a 5 puntos):  Sin valoración
  • Valoración de becarios desde 2018 (de 1 a 5 puntos): 4,69 (número de cuestionarios: 10)
  • Más información: The reception company/institution provides information so that the trainee can look for their accommodation
  • The reception company/institution offers meals at the Centre, paid by the trainee