Phd On Machine Learning for Accelerated Screening
3 maanden geleden
**Job description**:
**Job 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.
**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.
**Information**
Do you recognize yourself in this profile and would you like to know more? Please contact
Additional information on the department you can find on: Link to the Biomedical Engineering department at TU/e.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
**Application**
- 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.
Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.
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