Opportunities for Scientific Programmers

We are offering 2 Bio/Chemoinformatics positions for the EU FP7 project OpenTox.

The OpenTox project will create an open source framework for predictive toxicology with facilities for automated QSAR model development and validation, a plug-in system for novel data mining and QSAR algorithms, and an easy-to-use web interface for end-users.

The successful candidates will be responsible for the design, implementation and testing of University Freiburgs contributions to the framework, the communication with other participants (that includes European travel), and the administration of the project. The exact duties and themes for scientific research will depend on the background and interests of the candidates and on the contributions of the other project partners.

We expect a background in Bio- or Chemoinformatics, Data Mining, Toxicology or (Q)SAR modelling. Good programming skills (e.g. Ruby, Python, Java, R, C++,...) and the ability to acquire new competences quickly are essential.

We offer a congenial working atmosphere, international collaborations and ample room to pursue your scientific interests. The salary will follow the German (E13/BAT-IIA) scheme, and the positions are initially limited to the duration of the EU projects (3 years).

Please send a brief CV with a description of your scientific background and a summary of your programming experience by email to Andreas Karwath or Christoph Helma, if you are interested in one of these positions.

HiWis

The lab is currently looking for HiWis for a number of tasks. These include:

• Web page maintenance,
• Grid computing (using the new Black-Forest-Grid),
• and programming tasks in the field of bio- and chemoinformatics.

For the first two task good knowledge of Linux is essential, for the latter task it would be advantageous to possess a background in either field or to have programming skils in C or Python. If you are interested, please contact A. Karwath via email.

Opportunities for Students

The lab always has interesting topics for Studienarbeit, Bachelor's thesis, Diplomarbeit or Master's thesis. These topics typically are closely related and integrated with the research in the lab. They are mostly concerned with

• data mining and machine learning techniques,
• data mining and machine learning with complex and structured data (link mining, multi-relational data mining, inductive logic programming, graph mining, etc), and
• applications in bio-informatics and chemo-informatics.

We do not put the concrete topics on the web, because they change very rapidly and also because we typically determine the exact topic in close collaboration with the student and his or her interests. If you are interested, please contact A. Karwath via email.