Professor Nataša Pržulj is looking for several PhD students to work in network science and machine learning applied to molecular and clinical data. They will be developing new algorithms for computationally hard problems and applying them to analyzing large-scale molecular and patient data to aid drug discovery and personalizing treatment. The successful candidates will work on the prestigious ERC Consolidator grant of Prof. Pržulj.
The successful candidates will complete a PhD in Computer Science, which will address developing and applying sophisticated machine learning and network science models and algorithms. The algorithms will be carefully tuned to extract relevant biological and medical knowledge from systems-level real-world molecular and medical data. The aim is to utilize them to understand the structure of the data that would enable mining the data for new biological and medical insight that would further lead to improving diagnostics, discovering new biomarkers, improving patient stratification and treatment, personalizing treatment and facilitate rational drug development. The successful candidates will join a dynamic research group of Prof. Przulj within BSC. The students will work in a highly sophisticated HPC environment, will have access to systems and computational infrastructures, and will establish collaborations with experts in different areas.
Key Duties
Complete a PhD in computational biology
Collaborate with various research groups across Europe and elsewhere
Education
MSc in Computer Science, Mathematics, Physics, Bioinformatics, or a related field
BSc in Computer Science is preferred
Essential Knowledge and Professional Experience
Fluency in spoken and written English
Competences
Good technical skills including at least some of the following: algorithms, data analysis, graph, network and complexity theory, scientific computing, statistics, machine learning, programming in C, C++, a scripting language and Matlab, using a parallel computing environment, bioinformatics, network biology, network medicine, network analytics, medical informatics
Conditions
The position will be located at BSC within the Life Sciences Department
We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, tickets restaurant, private health insurance, fully support to the relocation procedures
Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Starting date: ASAP
Applications Procedure -- online at www.bsc.es/join-us/fellowships/19419lsicbr1
All applications must include:
1. A full CV including contact details.
2. Academic transcripts from all Undergraduate and MSc degrees.
3. Three letters of recommendation. The references should send their letters to recruitment@bsc.es before the deadline.
4. A statement of motivation and research interests.
Deadline
The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.