Lunds universitet, MAX IV, MX group
Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 600 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
BioMAX – Macromolecular crystallography beamline
BioMAX is the first X-ray macromolecular crystallography beamline of MAX IV Laboratory, which is in user operations since 2017 and serves several user communities within our growing user program. It is a state-of-the-art facility, which is accommodating multiple cutting-edge experimental instrumentations. The beamline experiment set-up is highly automated, in terms of both sample handling hardware and data analysis, including feedback on the data collection.
Pharmaceutical research using rational drug design is directed towards developing new drugs as a major resource for public health. Within the FragMAX project we are aiming to develop and offer a facility to support experiments for this kind of research as well as for basic academic research. This includes the creation of large data-sets which needs to be stored, visualized and made accessible to the researcher. Therefore, we need to develop new software tools to facilitate this important research task.
You are developing, implementing, testing and using software tools for managing large dataset projects with 2+ TB’s per experiment. This requires the development and improvement of existing tools for data visualization, scientific data project management and automation of scientific data evaluation work flows. If possible, you will also be involved to developing, implementing and testing tools to support beamline automation tasks, which are related to the FragMAX project.
You are expected to work both, independently as well as in close collaboration with the BioMAX team, the MAX IV-IT and controls group and the industrial collaboration partners as well as other international collaborators and future FragMAX user communities.
Education and specialisation:
Undergraduate studies in computer science or software engineering. PhD in computer science, bio-informatics or master in software engineering or another relevant field. Previous experiences in working with large scientific data-sets are advantageous.
- PhD or master degree in relevant scientific field for the FRAGMAX project
- Demonstrated experiences in SQL database development
- Very good command of English, both written and spoken
Additional requirements are considered assets:
- Web-application development using Django, React, Flask, Mongo
- Scientific data management
- Demonstrated knowledge in hardware controls
As a person we expect you to be flexible, structured, quality conscious, creative and can take initiative.
This is a 2 year temporary position.
|Type of employment||Temporary position longer than 6 months|
|Contract type||Full time|
|First day of employment||As per agreement|
|Number of positions||1|
|Working hours||100 %|
|Last application date||03.May.2019 11:59 PM CET|
To apply for this job please visit lu.mynetworkglobal.com.