Post doctoral researcher in Biomedial Discovery Science

Post doctoral researcher in Biomedial Discovery Science
Post doctoral researcher in Biomedial Discovery Science

Published	Deadline	Location
18 Jan	31 Jan	Maastricht

The Institute of Data Science (IDS@UM), led by Distinguished Professor Michel Dumontier invites applications for a Postdoctoral researcher in Biomedical Discovery Science.
Job description

The main thrust of your research will be to develop and apply artificial intelligence (AI) technologies to advance the state of the art in computational drug discovery and personalised medicine. Your research can explore any number of areas including AI-assistance in data curation, semantic data integration, ontology engineering, natural language processing, query answering, and predictive modelling.

You will be responsible to:

• Develop a leading edge research program
• Lead and participate in externally funded research projects
• Collaborate with researchers inside and out of the Institute
• Recruit and supervise undergraduate, masters and PhD theses and projects
• Be involved in teaching at the undergraduate and graduate levels

Key benefits include:

• A vibrant, international, and interdisciplinary environment with data scientists, software developers, ethicists, legal scholars working in the fields of biomedicine, neuroscience, law, and social science
• Exceptional opportunities for international team science and data-driven innovation
• Access to Maastricht University’s Data Science Research Infrastructure, a Kubernetes-based CPU and GPU cluster
• Conveniently located in the heart of Western Europe
• A competitive salary with generous benefits
• Outstanding workplace environment with state-of-the-art equipment

Specifications

• max. 38 hours per week
• €3974—€5439 per month
• Maastricht View on Google Maps

Maastricht University (UM)

Requirements

• PhD in Bioinformatics, Biomedical Informatics, Data Science, Computer Science
• Research experience and technical virtuosity exemplified by a high quality publication record in at least two of the following areas:
• Biomedical data science or biomedical informatics
• Machine learning with sparse, incomplete, temporal, and/or erroneous data
• Semantic web technologies including ontologies, linked data, and knowledge graphs
• Programming skills, preferably Python or Java, and code versioning using GitHub/GitLab
• Successful (co-)supervision of bachelor and masters theses
• Well versed in biomedicine  (drug, genes, protein, phenotypes, interactions, etc)
• Preferably experience working with biomedical databases (PubMed, DrugBank, CTD, etc)

Fluency in English, both oral and written, and scientific writing

Conditions of employment

Fixed-term contract: 1 year.

The full-time position is offered for a period of 1 year. The salary will be set in scale 11 of the collective labour agreement of the Dutch Universities (between € 3.974 and € 5.439 gross per month) depending on qualifications and work experience for a full-time job (38 hours/week). On top of this, there is an 8% holiday and an 8.3% year-end allowance. Non-Dutch applicants could be eligible for a favourable tax treatment (30% rule).

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl  > About UM > Working at UM .

 

Employer
Maastricht University

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and about 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. 
For more information, visit www.maastrichtuniversity.nl .

Department
The Institute of Data Science (IDS)

The Institute of Data Science (IDS) at Maastricht University is a research centre embedded in the Department of Advanced Computing Sciences, part of the Faculty of Science and Engineering. The mission of the Institute of Data Science is to foster an interfaculty environment for collaborative innovation in the development and application of data science technologies.

maastrichtuniversity.nl/ids

The Department of Advanced Computing Sciences (DACS) is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics.  Over 100 researchers work and study in the Department of Advanced Computing Sciences, whose roots trace back to 1987. The department’s staff teaches approximately 800 bachelor’s and master’s students in 3 specialized study programmes in Data Science, Computer Science, and Artificial Intelligence. 

Maastrichtuniversity.nl/dacs

The Faculty of Science and Engineering (FSE). Maastricht University heavily invests in the growth of its STEM research and education. The Faculty of Science and Engineering is one of the focal points of these developments. Within the Faculty of Science and Engineering, over 260 researchers and more than 2,700 students work on themes such as fundamental physics, circularity and sustainability, data science and artificial intelligence.

www.maastrichtuniversity.nl/fse

Additional information

Applicants are required to send their application via Academic Transfer before January 31, 2023, as (preferably a single) PDF document(s) consisting of:

brief statement of research interests and accomplishments (no more than 1 page)

CV

contact information for 3 references

Informal inquiries concerning this position can be directed to: Professor Michel Dumontier ([email protected] )

Working at Maastricht University

Maastricht University distinguishes itself with its innovative education model, international character and multidisciplinary approach to research and education.

Read more

Apply via postal mail
Apply via postal mail

[email protected]

Don't forget to mention AcademicTransfer and the job number: AT2022.538 in your letter.

Back to the vacancy
Application procedure

Applicants are required to send their application via Academic Transfer before January 31, 2023, as (preferably a single) PDF document(s) consisting of:

brief statement of research interests and accomplishments (no more than 1 page)

CV

contact information for 3 references

Informal inquiries concerning this position can be directed to: Professor Michel Dumontier [email protected]

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.