R&D Project Engineer – Agritech & Data Science

Agricola Moderna; Lazio; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading Vertical Farming company is seeking an experienced R&D Project Engineer to lead the implementation of their innovation project. Responsibilities include designing innovative substrates and managing collaborations for automation integration. The ideal candidate will possess a Master’s degree and over 3 years of experience in a multidisciplinary environment, along with strong skills in Python programming and project management. Competitive compensation and a commitment to innovation are offered.

Servizi

Competitive compensation

Competenze

• Master’s degree required.
• Minimum 3 years of experience in a multidisciplinary environment.
• Strong skills in Python programming are essential.
• Experience in project management is advantageous.
• Ability to work at the interface of engineering, agronomy, and data science is necessary.

Mansioni

• Lead the implementation of the SUSTAIN project.
• Design innovative substrates.
• Manage collaborations for automation integration.

Conoscenze

Python programming

Project management

Multidisciplinary teamwork

Formazione

Master’s degree

Descrizione del lavoro

Overview

A leading Vertical Farming company in Lombardy is seeking an experienced R&D Project Engineer to lead the implementation of the SUSTAIN project. This role bridges engineering, agronomy, and data science, requiring strong skills in Python programming and project management. The successful candidate will work on the design of innovative substrates and manage collaborations aimed at automation integration. The ideal candidate has a Master’s degree and over 3 years of experience in a multidisciplinary environment. Competitive compensation and commitment to innovation are offered.

Requirements

• Master’s degree
• 3+ years of experience in a multidisciplinary environment
• Strong skills in Python programming
• Experience in project management
• Ability to work at the interface of engineering, agronomy and data science
• Experience in design of substrates and managing collaborations for automation integration