Effect of blending on thermal behaviour of polymers

Company Information
Veridis wants to create a better future for humanity and the planet. Our mission is to deliver key recycling technologies to advance the transition to a circular economy. We are trying to create a place of work where scientists and engineers can develop technical opportunities to benefit society and the climate. To achieve these objectives, we offer a challenging internship with flexible working hours, an informal atmosphere, and a lot of independence and responsibility.

Veridis is a deep-tech startup developing a new system to improve quality control in plastic recycling: MAssive DSC ANalysis (MADSCAN). This technology is a new thermal analysis method that recyclers can use to analyse plastics/polymers to give the material characteristics (type, degradation, etc.). With our MADSCAN technology, we scale up the sample size of a thermal analysis by a factor of 100.000, which allows us to give a representative analysis of large batches of plastics, thereby increasing the relevance to the recycling industry. With this method, we can analyse dark plastics, detect material degradation, and, most importantly, directly improve recycled plastics’ commercial value.

Assignment Description
Within this internship you will be researching the effect of polymer mixing on their physical properties and in specific, their thermal properties. The focus will be a literature review on these effects, focussing on a small subset of polymers. This will require combining the information of different measurement methods and datasets. If everything goes well, the found conclusions can be compared to MADSCAN measurements of (recycled) polymer samples. Even proposing and performing tests might be applicable in order to verify the assumptions or conclusions made. All this can also lead to a possible publication.

This internship assignment will allow you to impact the improvement of plastic recycling and, therefore, the circular transition as a whole. Because of the multidisciplinary start-up environment, you will learn a lot from different disciplines. And most importantly, you will develop your research skills a lot by working independently on a challenging project with the rest of the team to give unique insights to help you. Finally, if the internship works out well, we are always interested in considering extending your stay with us or even taking you on board as an employee.

Intern Profile
You are a creative and curious person who is not afraid of a challenge and working with complex literature that seems overwhelming at first. You like taking initiative and contributing new ideas or research directions. You have high standards with the ability to dive deep, critically evaluate the work of yourself and others, and relate the research you are performing to the MADSCAN system output. You can condense state-of-the-art papers at an academic level and extract relevant conclusions from those.

Requirements:
• Currently enrolled in or having acquired a MSc student in (Applied) Physics, Chemical Engineering, Chemistry, or anything related to those.

Preferences (not requirements):
• Basic knowledge of polymer science
• Experience with thermal analysis methods

Contact Details
Floris Gerritsen - fjagerritsen@veridis.tech
https://veridis.tech/
Address: De Boelelaan 1081 - VU WN-Building O236

Semi-Analytical Thermal Polymer Analysis

Company Information
Veridis has the ambitious goal to create a better future for humanity and the planet, our mission is to deliver key recycling technologies to advance the transition to a circular economy. We are trying to create a place of work where scientists and engineers can develop technical opportunities for the benefit of society and climate. To achieve these objectives we are offering an internship with flexible working hours, an informal atmosphere, and a lot of independence and responsibility.

Veridis is a deep-tech startup developing a novel instrument to improve quality control in plastic recycling: MAssive DSC ANalysis (MADSCAN). This MADSCAN technology is based on Differential Scanning Calorimetry (DSC), a thermal analysis technique. DSC can be used to analyse plastics/polymers to give a material characterisation (material type, degradation, etc.). With our MADSCAN technology we scale up the sample size of a DSC by a factor 100.000. This allows us to give a representative analysis of large batches of plastics, thereby increasing the relevance to the recycling industry. With this method we are able to analyse dark plastics, detect material degradation, and most importantly we directly increase the commercial value of recycled plastics.

Assignment Description
Within this internship you will be working on a semi-analytical model used to analyse MADSCAN data in an innovative way. You will be expanding the current model by introducing material property effects, using new ways to extract more data as well as improving the performance of the model. There is also room to introduce an improved or new theoretical basis for the analysis. A lot of the work will evolve around partial differential equations due to the thermal nature of the problem. All the theoretical work can be compared to simulation and potentially real system measurements for validation and improvement.

This internship assignment will allow you to have an impact on the improvement of plastic recycling and therefore on the circular transition as a whole. Because of the multidisciplinary start-up environment you will learn a lot from different disciplines. And most importantly, you will develop your research skills a lot by working independently on a challenging project with the rest of the team to give unique insights to help you. Finally, if the internship works out well we are always interested to consider extending your stay with us or even taking you on board as an employee.

Intern Profile
You are a creative and curious person who is not afraid of a challenge and working with the inherent uncertainty that novel technological development brings. You like taking initiative and contributing new ideas about how to improve. Also, critical thinking and the ability to relate instrument specifications to relevant constraints and boundary conditions. You are able to produce and analyse mathematical models at an academic level and are capable of communicating the results, problems and next steps clearly.

Requirements:
• Currently enrolled in a Dutch university MSc (or third year BSc) student in (Applied) Physics or (Applied) Mathematics
• Available at least 32 hours a week for at at least 3 months
• Experience in a coding language able to solve integrals and differential equations numerically (e.g. Python, Matlab, Mathematica)

Preferences (not requirements):
• Experience with working on partial differential equations
• Experience in thermal physics problems
• Basic knowledge of polymer physics

Please send your CV and list of grades to fjagerritsen@veridis.tech

Company Information
Veridis is a deep-tech startup developing a novel instrument to improve quality control in plastic recycling: MAssive DSC ANalysis (MADSCAN). This MADSCAN technology is based on Differential Scanning Calorimetry (DSC), a thermal analysis technique. DSC can be used to analyse plastics/polymers to give a material characterisation (material type, degradation, etc.). With our MADSCAN technology we scale up the sample size of a DSC by a factor 100.000. This allows us to give a representative analysis of large batches of plastics, thereby increasing the relevance to the recycling industry. With this method we are able to analyse dark plastics, detect material degradation, and most importantly we directly increase the commercial value of recycled plastics.

Veridis has the ambitious goal to create a better future through science and technology. We are trying to create a place of work where scientists and engineers can develop technical opportunities for the benefit of society and climate. To achieve these objectives we are offering an internship with flexible working hours, an informal atmosphere, and a lot of independence and responsibility.

Assignment Description
Within this internship you will be working on a variety of problems connected to the data analysis of the proof of concept of our product. The main focus will be on research and customer driven data analysis of the thermal spectrum of polymers. The challenge can be approached from different angles: COMSOL simulation in order to better understand the system response, experimental verification of signal behaviour, data deconvolution using a mathematical model, etc. The data analysis is primarily done using Python. The assignment may also include customer interaction and collaboration.

This internship assignment will allow you to have an impact on the improvement of plastic recycling and therefore on the circular transition as a whole. Because of the multidisciplinary start-up environment you will learn a lot from different disciplines. And most importantly, you will develop your simulation and research skills a lot by working independently on a challenging project with the rest of the team to give unique insights to help you. Finally, if the internship works out well we are always interested to consider extending your stay or even taking you on board as an employee.

Intern Profile
You are a creative and curious person who is not afraid of a challenge and working with the inherent uncertainty that novel technological development brings. You like taking initiative and contributing new ideas about how to improve. Also, critical thinking and the ability to conceptually interpret thermal measurement data are required. You are able to analyse data at an academic level and are capable of communicating the results, problems and next steps clearly.

We are very flexible in time requirements; we would like to fill the internship position full time, but part time is also a possibility.

Requirements:
• Basic Python experience
• Master student in Physics, Mathematics, Chemistry or similar fields.

Preferences:
• Experience in thermal physics problems
• Knowledge of numerical analysis methods is a plus
• Basic or advanced knowledge of polymer physics
• Experience in writing python code in a professional manner
• Note that we can only consider students that are situated in the Netherlands during the duration of the internship. Please send your CV and list of grades to info@veridis.tech.

Company Description
We are an ambitious and lean deep-tech startup that wants to make the world a better
place, by tackling climate change and environmental pollution. Our mission is to lead the
development of technologies for analysing complex material compositions, empowering the
circular economy. The MADSCAN technology we develop is a unique thermal analysis
method for material characterisation that plastic recyclers can use to test and analyse
plastics/polymer streams to accurately measure material composition and improve quality.

In this role, you will bridge the gap between technology and commerce working within our
business development team. We seek a skilled professional with a solid understanding of
the circular polymer value chain, capable of transferring technical knowledge in
combination with strong business acumen. You will be selling our MADSCAN (pilot) systems
and contract testing services. Preferably, you can demonstrate our instruments to clients as
well. Overall, you should have the ambition to drive and sustainably grow Veridis' business
and help us excel in our market launch of MADSCAN in 2026.

Experience
The role requires 2- 5 years of experience in analytical chemistry sales or technical
business development. The ideal candidate has a strong network within the polymer and
recycling field. A high level of self-starting is needed to achieve success in this role.
Responsibilities: The role covers three essential parts within Veridis: commercial
operations, Business development, and technical marketing support.

Business Development & Commercial operations
➢ Solid understanding of selling (emerging) analytical technology to all levels of
stakeholders including CEOs, technical personnel, and operators;
➢ Drive business and create sustainable relations with potential and existing
customers;
➢ Identify and qualify new leads;
➢ Build and maintain a robust sales pipeline, from initial outreach to contract
negotiation and closing;
➢ Exhibit and attend conferences to promote Veridis technologies' unique solutions;
➢ Lead projects from a technical commercial perspective working together with
Veridis’ core technical team and customer team.

Technical marketing support
➢ Ability to translate commercial and technical information into technical marketing
pieces to support the marketing team.
➢ Support writing application notes, whitepapers, and other materials about
MADSCAN technology in a technical & commercial compelling way.
(Preferred) Technical Demonstration
➢ Be able to demonstrate our MADSCAN system to all members of the customers’
decision-making unit (DMU).
➢ Support the business team with technical presentations and be able to give them to
your customer portfolio.

Requirements
➢ Bachelor’s or Master’s degree: analytical chemistry, chemistry, polymer science, life
sciences or related;
➢ 2-5yearsof relevant working experience;
➢ Experienced in sales forecasting & administration using a CRM system (Hubspot);
➢ Experience in working with a variety of stakeholders; DMU mapping and influencing;
➢ Able to do cold outreach regularly;
➢ Highly organized and result-driven, with strong prioritization skills;
➢ Excellent communicator, with strong presentation skills;
➢ The main location of work is in Amsterdam and/or the Eindhoven area;
➢ (Almost) Full-Time availability (40 Hours);
➢ Willingness to travel to customers and stakeholders, locally and internationally;
➢ Fluency in English.

Preferences
➢ Prior experience with thermal analysis and/or process technology;
➢ Additional European language(s) such as Dutch, German, or French;
➢ Ability to technically demonstrate analytical chemical equipment
➢ In-depth knowledge of lead generation tools (e.g. LinkedIn sales navigator);
➢ Strong ambition to help the circular economy thrive.
➢ Experience in working with or in a start-up

What do we offer
We offer a challenging position with flexible working hours, an informal atmosphere, and a
lot of independence and responsibility. We are an incredibly driven and enthusiastic team
with a lot of heart for the circular economy. Where initiative and creativity are valued and
where you can deliver a big impact.

Please send your motivation letter, curriculum vitae (CV) and other potentially relevant
documents to Daan Vijfhuizen, CBO of Veridis at dvijfhuizen@veridis.tech

Company Description
We are an ambitious, lean, deep-tech startup that wants to make the world a better place
by tackling climate change and environmental pollution. Our mission is to lead the
development of technologies for analysing complex material compositions, empowering the
circular economy. The MADSCAN technology we develop is a unique thermal analysis
method for material characterisation that plastic recyclers can use to test and analyse
plastic/polymer streams to measure material composition and improve quality accurately.

As a key development team member, you will play a pivotal role in advancing our
MADSCAN technology to its next innovation stage. We seek a talented professional who
can not only refactor and enhance our existing code but also optimise it for performance
and scalability. This role is essential to enable our cutting-edge thermal measurement
machine to deliver high-quality, automated data analysis of polymers within the recycling
industry. You will work collaboratively with our research and technical teams to drive
workflow and data analysis improvements and support our mission to make polymer
recycling more efficient and sustainable.

Experience
➢ Two years or more of experience in software engineering, particularly in data
processing and analysis.
➢ Proven experience with Python programming, including performance optimisation
for large datasets.
➢ Familiarity with distributed computing frameworks like Dask or Pandas and
visualisations like Plotly and integration of dynamic visualisations into a web
front-end via HTML.
➢ Experience working in cross-functional teams to integrate scientific research
methods into technology solutions.
➢ Experience working on software design.
➢ Prior involvement in projects related to cloud infrastructure and scalable backend
development is preferred.

Responsibilities
➢ Optimise Code Efficiency: Refactor and enhance existing code for performance,
scalability, and cloud integration.
➢ Reduce Computational Load: Minimise memory usage and runtime for large
datasets with distributed computing techniques.
➢ Ensure Quality Standards: Implement version control, automated testing, and
documentation for reproducibility.
➢ Develop Cloud-Compatible Solutions: Build and maintain cloud-compatible,
scalable back-end architecture.
➢ Refine Data Pipelines: Streamline data preprocessing to support consistent,
high-quality analysis.

Requirements
➢ Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a
related field.
➢ Expertise in optimising data pipelines for performance and scalability
➢ Skilled in maintaining reproducibility standards and integrating new research
methods.
➢ Proficiency in Python, particularly in data manipulation and performance
optimisation.
➢ Strong experience with version control (Github), automated testing (GitHub actions),
CI/CD, and documentation best practices.
➢ Solid understanding of distributed computing concepts and familiarity with Dask or
similar tools.

Preferences
➢ Prior experience in thermal analysis or materials science applications.
➢ Familiarity with the recycling or polymer industry.
➢ Experience with machine learning or advanced data analysis techniques.
➢ Understanding of scalable software architecture principles and modular design.
➢ Experience in working with or in a start-up.
➢ Knowledge of cloud infrastructure and ability to design cloud-compatible solutions.

What do we offer
We offer a challenging position with flexible working hours, an informal atmosphere, and a
lot of independence and responsibility. We are an incredibly driven and enthusiastic team
with a lot of heart for the circular economy. Where initiative and creativity is valued and
where you can deliver a big impact. We value diverse perspectives and actively foster an
inclusive environment.

Please send your motivation letter, curriculum vitae (CV) and other potentially relevant
documents to Floris Gerritsen, CTO of Veridis at fjagerritsen@veridis.tech