In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available DNA thermodynamic database, coarse-grained simulations of DNA motifs, and existing experimental data to establish an AI model that is able to guide the construction of desired secondary structures. Experimental validation of the established AI model is also expected to be a part of this project.
Specifically, your tasks will be:
- Running numerical simulations to generate training data
- Building transformer-like AI models which can predict DNA structures
- Performing experiments for validation
- Participation in conferences in Germany and abroad (incl. presenting your research results)
- Preparing scientific publications and project reports
Table of Content
Summary
Subscribe for Scholarship Alert!
Benefits
- A large research campus in a green setting, offering excellent opportunities for networking with colleagues and for sports and recreation alongside your work
- Experienced and friendly international research team with a strong background in biophysics and soft matter
- Cutting-edge computational facilities including the on-site top European supercomputers
- Excellent scientific and technical infrastructure
- Opportunity to participate in (international) conferences and project meetings
- Continuous professional support from your scientific supervisors
- 30 days of annual leave
- The option of flexible working arrangements
- A structured doctoral program for you and your supervisors with a comprehensive range of training and networking opportunities via the JuDocs doctoral platform: https://www.fz-juelich.de/judocs
- Targeted services for international employees, e.g. through our International Advisory Service
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits.
Requirements
- Strong motivation for an interdisciplinary project that combines numerical models, experiments, and artificial intelligence
- A master`s degree or diploma in physics, applied mathematics, or a relevant engineering discipline
- Good programming skills and experience with numerical modeling
- Interest in performing experiments
- Excellent written and spoken English skills
- High degree of independence and commitment
- Experience with machine learning and high-performance computing is advantageous, but not necessary
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
Forschungszentrum Jülich on www.fz-juelich.de to apply
If your questions have not yet been answered via our FAQs , please send us a message via our contact form.
For more information, kindly visit Forschungszentrum Jülich schoalrship webpage.
