QUBIZ.team is a startup that aims to become the leading provider of quantum sensing solutions for water analysis. We aim to achieve this by developing a commercially viable, portable, and user-friendly quantum sensing system for detection of emerging contaminants in water in real-time, in concentrations below those stablished by the American and European regulations (up to levels of parts per trillion).
YOUR RESPONSABILITIES:
We are seeking a candidate with advanced expertise in machine learning and data analysis, coupled with a strong foundation in Physics or Chemistry. The ideal candidate will be responsible for designing, implementing, and optimizing machine learning models to analyze scientific data, particularly in the realm of spectroscopy. Specific tasks:
Programming algorithms for real-time detection of emerging contaminants in water
Development of machine learning protocols for spectra prediction and identification
Applying advanced data analysis and visualization tools for spectra interpretation (PCA, UMAP, statistical analysis)
YOUR SKILLS:
Required:
A degree in Chemistry, Physics or Computer Science
PhD in Chemistry, Physics or Computer Science
At least 4 years of hands-on experience in data analysis, statistical models, and machine learning methods (supervised/unsupervised learning, reinforcement learning) and algorithms (neural networks, clustering, decision tress, etc.)
Experience with scientific programming (e.g., Python, R, MATLAB) and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Excellent communicator & team player.
Fluent business English language skills in speaking and writing.
Desirable skills:
Knowledge on spectroscopy and/or on quantum sensors.
Spectra interpretation and structure elucidation skills.
Knowledge on spectroscopy hardware and of associated analysis and automation software.
BENEFITS:
Full-time/Contract (initially for 3 years)
On-site (option to work remotely when required)
Competitive salary
Holidays: 22 working days + public holidays
In our team, we embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work
We offer a collaborative working environment
The working place: we work at a start-up accelerator tower (BAT tower; https://bacceleratortower.com/en/) in Bilbao downtown, where you will have access to an enriching environment where you will be able to connect to people working in many other start-ups and corporates. Every Tuesday, a community breakfast is offered in the tower, where different start-ups present their ideas; once per month an after-work party is organized; and constant entrepreneurship and business development related events and meetings are held in the tower.
How to apply
To apply, please, send and email to Sara Ibañez with your CV and a motivation letter.
QUBIZ.team
Gran Vía de Don Diego Lopez de Haro 1
48001 Bilbao, Bizkaia, Spanien
/
Data science for detection of emerging contaminants in water
QUBIZ.team is a startup that aims to become the leading provider of quantum sensing solutions for water analysis. We aim to achieve this by developing a commercially viable, portable, and user-friendly quantum sensing system for detection of emerging contaminants in water in real-time, in concentrations below those stablished by the American and European regulations (up to levels of parts per trillion).
YOUR RESPONSABILITIES:
We are seeking a candidate with advanced expertise in machine learning and data analysis, coupled with a strong foundation in Physics or Chemistry. The ideal candidate will be responsible for designing, implementing, and optimizing machine learning models to analyze scientific data, particularly in the realm of spectroscopy. Specific tasks:
Programming algorithms for real-time detection of emerging contaminants in water
Development of machine learning protocols for spectra prediction and identification
Applying advanced data analysis and visualization tools for spectra interpretation (PCA, UMAP, statistical analysis)
YOUR SKILLS:
Required:
A degree in Chemistry, Physics or Computer Science
PhD in Chemistry, Physics or Computer Science
At least 4 years of hands-on experience in data analysis, statistical models, and machine learning methods (supervised/unsupervised learning, reinforcement learning) and algorithms (neural networks, clustering, decision tress, etc.)
Experience with scientific programming (e.g., Python, R, MATLAB) and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Excellent communicator & team player.
Fluent business English language skills in speaking and writing.
Desirable skills:
Knowledge on spectroscopy and/or on quantum sensors.
Spectra interpretation and structure elucidation skills.
Knowledge on spectroscopy hardware and of associated analysis and automation software.
BENEFITS:
Full-time/Contract (initially for 3 years)
On-site (option to work remotely when required)
Competitive salary
Holidays: 22 working days + public holidays
In our team, we embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work
We offer a collaborative working environment
The working place: we work at a start-up accelerator tower (BAT tower; https://bacceleratortower.com/en/) in Bilbao downtown, where you will have access to an enriching environment where you will be able to connect to people working in many other start-ups and corporates. Every Tuesday, a community breakfast is offered in the tower, where different start-ups present their ideas; once per month an after-work party is organized; and constant entrepreneurship and business development related events and meetings are held in the tower.
