[BBC] Post-doc Researchers in Computer Science and Bioinformatics (R2) / Reference: 270_LS_ICB_R2

[BSC RRHH]

  Post-doc Researchers in Computer Science and Bioinformatics (R2)


*Context And Mission*

Professor Nataša Pržulj is looking for several post-docs to work in 
machine learning and network science. 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 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*

  * Conduct high-quality research
  * Publish in high impact journals and conferences
  * Present research at national and international conferences and meetings
  * Collaborate with various research groups across Europe and elsewhere
  * Help supervise PhD and MSc students
  * Participate in grant writing and organizational activities
  * Participate in educational and outreach activities


*Requirements*

  * Education
      o PhD in Computer Science, Mathematics, Physics, Bioinformatics,
        or a related field
  * Essential Knowledge and Professional Experience
      o Good publication record for the career stage
      o Fluency in spoken and written English
  * Competences
      o Good technical skills including at least several 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.

*Apply here: *https://www.bsc.es/join-us/job-opportunities/270lsicbr2



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