Tirocini: Philips cerca ingegneri gestionali nella sua sede di Drachten (Olanda)

Job Title

Internship: Procurement Engineering – Project Support (non-thesis)

Job Description

Start date: ASAP

Duration: full-time, 6 months

In this role, you have the opportunity to

Leverage on the innovative power of the supply base and thoroughly shape costs and value trade-offs in product development. You will learn and develop yourself by being part of a professional team that has significant business impact.It is a great opportunity to discover the company, learn the world of Procurement and get professional coaching.

You are responsible for

  • Executing and improving continuously the Procurement Strategy; setting up component display rooms, supporting training on strategy, and managing stakeholder.
  • Providing support in significant product cost reduction activities, in early phase innovation and/ or in the manufacturing phase.
  • Identifying opportunities in new product design process through target costing, managing cost drivers and data sources.
  • Providing analytics on savings performance to ensure ideas are implemented and targets are realized.
  • Creating benchmark PowerPoint presentations based on excellent MS Office skills and your strategic insights.
  • Providing Procurement support in new development projects of our Grooming and Shaving devices.

You are a part of

An international and dedicated Procurement team of 8 people, based in Drachten. Procurement employees within Philips are entrepreneurial and understand the business. You will cooperate closely with the Site Procurement Specialists and Procurement Engineers various projects and assignments. You will be able to see glance of how our Procurement organization cooperates with other functions such as Marketing, Innovation and Procurement Commodity Management.

To succeed in this role, you should have the following skills and experience

  • Studying towards a bachelor/master/ MBA in the area of Procurement, Supply Chain (Engineering).
  • Strong analytical, problem solving skills combined with a strong business sense and a drive for business impact. Preferably with familiarity with Big data; and data stewardship activities.
  • Able to manage and organize both your own work as well as projects and stakeholder meetings. Hands-on and project driven mentality, positive mindset and ambitious
  • Familiarity with Business Analytics tools; advanced Excel skills, and/ or analytics tools such as Tableau, Qlik or other.
  • Solid spoken and written English skills
  • Be registered as a student during the entire internship period.

  • For students outside EU/EER, internship should be compulsory by your education.

In return, we offer you

An exposure to a very dynamic business and experienced Procurement team. With the right attitude, you get a fantastic opportunity, doors will be opened and with strong performance and talent it can potentially be the start of a great career.


Find HERE all infos


7/03 – “Hybrid electric vehicles”: ne parla Simona Onori della Stanford University

Giovedì 7 marzo, in aula B5  – Edificio Nuova Didattica della macroarea di Ingegneria, alle h. 16, la professoressa Simona Onori della Stanford University terrà un seminario dal titolo “Hybrid electric vehicles: energy management strategies and tools for optimal energy storage systems selection”. La prof. Onori, tra l’altro, ha conseguito il dottorato di ricerca in Computer Science and Control presso Ingegneria “Tor Vergata”.

Gli organizzatori dell’incontro, tra cui il prof Vincenzo Mulone, oltre a coinvolgere gli studenti di “Sistemi E Componenti Per La Conversione Dell’energia Da Fonti Rinnovabili” del corso di laurea in Ingegneria Energetica  invitano vivamente tutti gli interessati a partecipare.




Hybrid vehicles offer additional degrees of freedom in controlling the instantaneous torque delivered to the wheels due to their more complex powertrain architecture. This ‘content-rich’ architecture provides many opportunities to improve fuel economy and reduce emissions. Realistic figures of achieavable improvement in fuel economy in HEVs range from 10% for mild hybrids to more 30% for highly hybridized vehicles. This potential can be realized only with a sophisticated control system that optimizes energy flow within the vehicle. Adopting systematic model-optimization methods, using meaningful objective functions and optimal control tools to improve the energy management controller give a more formal framework to deal with such a problem.

In this talk, we will present developments and trends of control and optimization for supervisory controllers in hybrid electric vehicles using optimization tools and we also present solutions for the selection and sizing of energy storage technologies (either in a standalone or hybrid configuration).