We are a highly interdisciplinary research group sitting at the intersection of physics, biochemistry, and data science, and we actively welcome applications from applicants from any scientific background. Most positions will normally need an aptitude for programming/statistics/data science, but though experience is always a plus, it is not generally required as we will provide all necessary training.
We want this group to be a welcoming place for all, regardless of race, ethnicity, religion, nationaility, gender identity, or sexual orientation. We believe in enabling and supporting group members regardless of family commitments, age or disability. We hold ourselves to high standards and expect the same of those that work with us, so that we can build a welcoming, productive and collaborative work environment.
Postdocs and PhD positions
If you’re interested in working with us and we don’t have a position currently advertised, please contact us anyway.
We are always interested in supporting fellowship applications from young researchers, so if you have an idea you want to discuss, and the possibilities available to you, drop us an email.
Please send CVs and resumes to firstname.lastname@example.org.
We welcome contact from Master’s students that are interested in doing projects within the group. We do not advertise specific Master’s projects, but we will always have several available, linked to our various research themes. If you have specific research interests, let us know and we will try to tailor the project to you.
Please don’t hesitate to contact us: email@example.com.
Current Vacancies / Adverts
We currently have 1 advert(s) for positions in the group.
Thanks to funding from the Wallenberg foundation through the DDLS program, I am looking for two PhD candidates and two postdocs to join my group. These positions are not yet officially advertised, but you can drop me an email with your CV if you’re interested and I’ll contact you when the official adverts are available.
These positions will be tailored to the successful applicant’s skills, in the following projects:
- Multi-dataset analysis: developing new approaches for extracting weak signal from macromolecular electron density. For our previous work, see the PanDDA webpage.
- Disorder and flexibility analysis: developing new approaches for extracting and characterising flexibility in experimental macromolecular structures. For our previous work, see the ECHT webpage.
- Multi-dataset analysis of protein dynamics: developing new multi-dataset approaches for modelling crystallographic and cryo-EM macromolecular structures.
- Statistical methods of model building and decision making in macromolecular crystallography/cryo-EM.
Master’s students are also invited to do their projects in the group and work on the above projects.