PhD on Machine learning for Accelerated Screening of Supramolecular Biomaterials

Do you want to develop apply machine learning for screening of new biomaterials?

Position PhD-student

Irène Curie Fellowship No

Department(s) Biomedical Engineering

FTE 1,0

Date off 25/10/2024

Reference number V50.7726

Job description

Eindhoven University of Technology (TU/e) is seeking a bright PhD candidate to setup a high-throughput screening lab for supramolecular biomaterials. The goal of the PhD is to setup a machine learning workflow for high-throughput screening of biomaterials. The PhD is part of the Groeifonds program “Big Chemistry” and you will work with other PhD students and post-docs on this topic.

The successful candidate should be excited about applying machine learning to cell biology and chemistry, specifically setting up a workflow based on active learning . Doctoral research will be part of wider and exciting efforts currently spearheaded within the Synthetic Biology group led by prof. dr. Tom de Greef.

Job requirements

We are accepting applications from enthusiastic and highly talented candidates who are interested in a dynamic, stimulating, and ambitious environment to perform their research. We are looking for candidates that meet the following requirements:

• A master's degree (or an equivalent university degree) in chemical engineering and/or (bio)informatics.
• Prior experience with machine learning and/or laboratory automation.
• Prior experience with Python.
• A research-oriented attitude with an analytical mindset.
• Ability to independently work within a dynamic team and to foster collaborations.
• Fluent in spoken and written English.

The position will be based at the Eindhoven University of Technology (TU/e) in the Netherlands. Doctoral research will be performed within the Synthetic Biology group in the Department of Biomedical Engineering under the supervision of prof. dr. Tom de Greef, in close collaboration with the groups of prof. dr. Patricia Dankers (Supramolecular Biomaterials) and dr. Francesca Grisoni (Molecular Machine Learning).

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 station. In addition, we offer you:

• Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,872 max. €3,670).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view this video.

Information

Do you recognize yourself in this profile and would you like to know more? Please contact 
Prof. Dr. Tom de Greef, Full Professor, t.f.a.d.greef@tue.nl[at]tue.nl or +31 40 247 5409.

Additional information on the department you can find on: Link to the Biomedical Engineering department at TU/e.

Visit our website for more information about the application process or the conditions of employment. You can also contact Sascha Sanchez, HR advisor, s.j.m.g.sanchez.van.oort@tue.nl or +31 40 247 7310.

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 by using the 'apply now'-button on this page.
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.
• Academic transcripts.
• Brief description of your MSc thesis.

We look forward to your application and will screen it as soon as we have received it.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.

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.