Junior Developer in the field of Data Science for Industry

Junior Developer in the field of Data Science for Industry, Science and Technology Hub - Trento

Location:

Science and Technology Hub - Trento, Italy

Job Category:

Other

EU work permit required:

Yes

Job Reference:

235104406

Job Views:

3

Posted:

19.04.2025

Expiry Date:

03.06.2025

Job Description:

The Digital Industry Center is one of the Centers of FBK. It focuses its research on digital technologies for the various domains in industry (e.g., manufacturing, aerospace, railway, automotive, energy, agriculture) by creating applications for critical systems, adaptive and autonomous systems, advanced perception, diagnostics, quality control, and prediction systems.

The Data Science for Industry and Physics (DSIP) Research Unit focuses on applying Data Science methodologies and approaches for developing predictive models based on machine learning from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time series analysis and forecasting in the context of condition monitoring and predictive maintenance for industrial process forecast and control.

FBK is looking for candidates to fill one position in Deep Learning methods applied to projects of the DSIP unit of the Digital Industry Center. The successful candidate will work closely with researchers to operationalize research prototypes, machine learning, and deep learning solutions for time series forecasting and anomaly detection.

Responsibilities:

• Operationalize machine learning and deep learning models.
• Optimize performance and scaling of the solutions.
• Stay current with the latest developments in Deep Learning frameworks for time series analysis and forecasting.

Job Requirements:

The ideal candidate should have:

• Master's degree in Computer Science, Data Science, or a related field (the degrees must be obtained by the start date of the FBK contract);
• Fluent in Python programming;
• Advanced understanding of deep learning/machine learning algorithms and pipelines for time series analysis and forecasting;
• Basic knowledge of RAG framework;
• Ability to write robust and well-documented code;
• Good knowledge of written and spoken English;
• Good knowledge of GIT and Docker;
• Self-driven attitude and ability to work in a collaborative environment, with a strong commitment to achieve assigned objectives;
• Good communication and relational skills.

Furthermore, the following elements will be positively evaluated:

• Data cleaning and preprocessing pipeline;
• Basic knowledge of HPC systems (e.g., SLURM based).

Employment:

Type of contract: Fixed term contract

Working hours: full-time (38h per week)

Start date: preferably May 2025

Duration: 12 months, with the possibility of extending the contract depending on funding

Gross annual salary: about € 38.500

Workplace: Povo, Trento (Italy)

Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities and for research in accommodation, social security (SANIFONDS), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees, counselling and psychological support service.

Application:

Interested candidates are requested to submit their application by completing the online form ( https://jobs.fbk.eu/ ). Please make sure that your application contains the following attachments (in pdf format):

• Detailed CV;
• Motivation letter

Application deadline: April 23, 2025

Please read our Recruitment Regulations before completing your application.

For further information, please contact the Human Resources Services at jobs@fbk.eu.