Summer Intern - Water-Tech R&D

Aqvita is developing next-generation water mineralisation technologies for purified, reverse osmosis (RO), and desalinated water. Through its patented MixFusion™ platform, Aqvita enables precise, real-time remineralisation of water with essential minerals such as magnesium and calcium, inspired by nature’s mineral balance while reducing dependence on packaged water and conventional supplements.

This 1 to 3-month(s) internship focuses on the development of intelligent mineral dosing systems combining water chemistry, sensor measurements, adaptive control algorithms, and AI-driven modelling. The project aims to improve the precision, stability, and predictability of mineral infusion into RO permeate under dynamic operating conditions.

The intern will contribute directly to the development of smart mineralisation technologies by combining experimental work with software development and data-driven modelling. A strong emphasis will be placed on adaptive dosing algorithms, sensor integration, data analysis, and AI-based prediction models for mineral dosing optimisation.

This internship is particularly suited for engineering or computer science students, or recent graduates, who are interested in applying programming and AI skills t o real-world physical systems and sustainability challenges.

By the end of the internship, the candidate will have:

• Gained hands-on experience in applied water-tech R&D within a patented mineralisation platform.
• Worked on adaptive dosing systems for RO/desalinated water remineralisation.
• Developed and tested data-driven and AI-assisted dosing models.
• Strengthened programming and analytical skills through real experimental datasets and sensor-driven systems.
• Acquired experience in calibration, reproducibility analysis, and predictive modelling of physical processes.
• Contributed to the development of next-generation smart dosing technologies combining chemistry, embedded systems, and AI.
• Collaborated with engineers, software developers, and external R&D partners in a multidisciplinary innovation environment.
  

• Conduct laboratory and pilot-scale experiments on mineral dosing into RO permeate and purified water.
• Collect and process sensor data including TDS, conductivity, pH, flow, and pressure measurements.
• Develop and test adaptive dosing algorithms to maintain stable mineral concentrations.
• Analyze experimental datasets and identify trends affecting dosing reproducibility and stability.
• Build predictive and AI-assisted models for dosing optimisation and calibration.
• Support software and algorithm development related to smart dosing systems.
• Evaluate the influence of operational parameters such as pressure, temperature, flow rate, and depletion state on dosing behaviour.
• Assist with technical documentation, reporting, and validation protocols.
• Collaborate closely with Aqvita engineers and external experts in water treatment, embedded systems, and AI.
  

Education

Bachelor’s or Master’s student, or recent graduate, in:

• Computer Engineering
• Computer Science
• Electrical Engineering
• Mechatronics
• Chemical Engineering
• Environmental Engineering
• Applied Physics
• Data Science
• Artificial Intelligence
• Robotics
• Or a related engineering discipline
  

We are looking for candidates with strong programming and analytical capabilities, combined with an interest in physical systems and experimental R&D.

Required Skills

• Strong programming skills (Python preferred).
• Experience with AI, machine learning, data analysis, or predictive modelling.
• Comfortable working with datasets, algorithms, and sensor-driven systems.
• Strong analytical and problem-solving mindset.
• Ability to structure and interpret experimental data.

Preferred Skills

• Familiarity with machine learning frameworks or data-science tools.
• Experience with embedded systems, sensors, or hardware interfacing is a plus.
• Familiarity with analytical measurements such as TDS, conductivity, and pH is appreciated but can be learned during the internship.
• Interest in water technologies, sustainability, or process optimisation.
  

• Curious, proactive, and eager to learn.
• Comfortable working both independently and within a multidisciplinary team.
• Good communication skills in English (French or Dutch is a plus).
• Entrepreneurial mindset and interest in deep-tech innovation.
  

• The opportunity to work on patented technologies addressing the future of drinking water and water mineralisation.
• Hands-on experience combining AI, software, sensors, and physical experimentation.
• Exposure to adaptive dosing systems and real-world engineering challenges.
• Direct involvement in cutting-edge R&D projects with tangible impact.
• Mentoring from Aqvita’s engineering team and interaction with external R&D and industrial partners.
• A dynamic startup environment where your work can rapidly contribute to real products and innovation.