PostDoc AI and machine learning expert for the development of nanomedicines

Introduction

The advent of automated production in nanomedicine opens transformative opportunities for advancing healthcare innovation. By enabling high-throughput synthesis precise control over nanoparticle properties and scalable manufacturing automation accelerates the development of novel nanomedicines bridging the gap from academic research to clinical applications. Nanomedicine a field that integrates nanotechnology with healthcare harnesses nanoparticlesnanostructures formed from diverse components that self-organize into functional units due to their chemical or physical propertiesto address a wide range of diseases. A landmark achievement highlighting this potential is the rapid development of mRNA vaccines such as those for COVID-19 which demonstrated the power of nanotechnology in delivering life-saving therapeutics.

Despite its promise the translation of innovative nanomedicines from concepts to real-world products is often hindered by challenges in expertise and manufacturability. Nanoworx established in 2024 as a subsidiary of Eindhoven University of Technology (TU/e) addresses this gap by offering unparalleled expertise in nanomedicine design and access to cutting-edge equipment. Operating as a Contract Research Organization (CRO) Nanoworx combines advanced design and prototyping automated library production and high-throughput screening services to support academia startups and pharmaceutical companies in expediting and refining the development of next-generation nanomedicines.

Job Description

We are seeking an enthusiastic and motivated postdoctoral candidate to join our dynamic team at Nanoworx! As an AI and machine learning expert you will play a key role in help advancing our research capabilities computational approaches to aid the development of nanomedicine. You will design and implement the software infrastructure that connects our automated experimental platforms into a closed-loop self-driving laboratory. This includes developing robust orchestration software to coordinate multiple laboratory instruments handling asynchronous data acquisition and building APIs for real-time communication between hardware and optimization algorithms. You will implement and extend active learning strategies such as Bayesian optimization to efficiently explore complex parameter spaces with minimal experimental effort. The goal is to close the loop between automated experiments and intelligent decision-making accelerating the discovery of nanomedicine formulations. Experience with Python software architecture and familiarity with concepts like job scheduling error handling and data management in experimental settings is highly valued. You will interface closely with the chemical biology cluster under supervision of prof. Dr. Tom de Greef and Dr. Nadia Erkamp as well as the Precision Medicine group led by prof. Dr. Willem Mulder.

Responsibilities include:

• Conduct innovative research in the field of AI and machine learning in the field of nanomedicine.
• Collaborate with team members and academic groups to design and implement research projects.
• Analyze and interpret data delivering clear and concise reports and contribute to team discussions.
• Develop data interpretation methodologies for large datasets of nanomedicine formulations.
• Mentor and supervise junior researchers (PhD) students and interns.
• Communicate research findings through research papers scientific journal publications and conference presentations.

Job Requirements

• PhD degree in (bio)informatics computer science materials science chemical/biomedical engineering or a related field.
• Prior experience with machine learning particularly Bayesian optimization or active learning methods.
• Strong Python programming skills and experience with software development practices (version control testing documentation).
• Familiarity with asynchronous programming APIs or workflow orchestration is a plus.
• Experience with laboratory automation or instrument integration is a plus.
• A research-oriented attitude with an analytical mindset.
• Ability to work independently within a dynamic team and to foster collaborations. Excellent communication and interpersonal skills.
• Fluent in spoken and written English (C1 level)

Who You Are

• Creative ambitious and persistent with a strong work ethic.
• Eager to contribute to a fast-paced innovative environment.
• Passionate about advancing Nanoworx mission to unlock nanomedicines full potential.

Join us to make a lasting impact in the field of Machine learning and nanotechnology!

If you are concerned that you dont meet all the requirements sufficiently but the job does excite you then be sure to respond we would love to look at your profile.

Nanoworx will provide a meaningful job in a dynamic and ambitious start-up working in an interdisciplinary setting and within an international addition to working in a technically and academically challenging environment you will work on a beautiful green campus within walking distance of the central train station.

Conditions of Employment

A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you:

• Full-time employment for 2 years.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities scale 10 (min. 4241 max. 5538).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills didactics and topics related to research and valorization.
• An excellent technical infrastructure on-campus childrens day care and sports facilities.
• Partially paid parental leave and an allowance for commuting working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network and offers tailored support training and workshops.
• A Staff Immigration Team is available for international candidates as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

About us

Eindhoven University of Technology is a leading international university within the Brainport region where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact today and in the future. TU/e is home to over 13000 students and more than 7000 staff forming a diverse and vibrant academic community.

Information

Do you recognize yourself in this profile and would you like to know more Please contact the hiring managerAnna-Maria Makri Pistikou COO Nanoworx at or.

Visit our website for more information about the application process or the conditions of employment. You can also contactHRServices department .

Are you inspired and would like to know more about working at TU/e Please visit our career page.

Application

We invite you to submit a complete application using the apply-button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
• List of up to five self-selected best publications.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.