Student PFE Thesis (m/f/d) in Deep Learning

Student PFE Thesis (m/f/d) in Deep Learning

habemus! electronic + transfer GmbH

Your journey with habemus! guides you directly to the heart of electronics and electrical engineering. With us you will meet people who influence the pulse of the industry.

Every task is a challenge. Every idea is a possible solution. Every project is an chance.

habemus! founded in 1995 and its headquarters in Thannhausen (Swabia) considers itself a competence center for electronics and electrical engineering. As a solution and system specialist, we accompany the entire life cycle of electronic products from development through manufacturing to product maintenance.

In the age of digital transformation, we strive for continuous improvement. From the usual electronics development and manufacturing to innovative digital solutions and “smart” connected products.

In doing so, we orient ourselves to the needs of our customers. As an independent and experienced solution and system specialist for complex developments and innovation for the “Internet of Things”, industry 4.0 and digitalization, we support our customers from idea generation through implementation to the finished product.

At habemus! we are committed to an open and inclusive culture and believe that our motivated and highly skilled team is the reason for our success. Thus, we support and challenge our employees in all positions and tasks.

For our office in Sfax we are looking for multiple talented Software Engineers and Engineering Students with different levels of expertise. Within our office with high growth potential, candidates have the opportunity for future role progression and to become a key team member.

For our competence centre in Sfax we are looking for a

Student PFE Thesis (m/f/d) in Deep Learning

Your Task

  • Improve and extend a Speech Recognition module based on Deep Learning for an Embedded Linux application.

Your key to success is simplicity, since you are transforming complex electronic requirements into simple solutions. True to the motto “everyone can develop in a complex way”, you will find simple but brilliant solutions.

Your Skills

  • University degree in computer science, software engineering or a similar technical degree
  • Deep Learning, Python, Linux

Are you interested?

We are looking forward to receive your complete application in English including information on the notice period, earliest possible entry and salary expectation ideally by e-mail to:


If you wish to learn more about this opportunity, please do not hesitate to contact us by phone in the first instance:

habemus! electronic + transfer GmbH

Nanna Niklas | Human Resources
Phone: +216 74 86 30 65
Technopole de Sfax, Rte de Tunis km 10
3021 Sfax, Tunisia

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