Post doctoral researcher (semantic web/deep learning methods) at Institute of Data Science

Post doctoral researcher (semantic web/deep learning methods) at Institute of Data Science
Post doctoral researcher (semantic web/deep learning methods) at Institute of Data Science

Published	Deadline	Location
18 May	5 Jun	Maastricht

The Institute of Data Science at Maastricht University, the Netherlands, is looking for a post-doctoral researcher to work on projects in the application of data science and AI methods, particularly semantic web and machine learning/deep learning methods.
Job description

The successful applicant will join a major EC funded project (EU FARMBOOK)  starting August 2022, developing a large scale multimedia repository of research outputs in the domains of agriculture, forestry and food. There will be the opportunity to collaborate with a number of partners across Europe, including leading research and technology organisations. The focus of project-related research will be on a) automated annotation of research outputs with FAIR metadata, and b) the automated construction of knowledge graphs from the large scale repository of multimedia research outputs. Of particular interest are candidates with an interest in the application of data science for the climate-agriculture-biodiversity nexus writ large.

 The position responsibilities will include:

                Conducting data-driven research in data science, knowledge representation and                        machine learning/deep learning.

                (Co-)authoring scientific, peer-reviewed papers for top conferences and journals. 

                Initiating and participating in research proposal writing.

               Contributing to department teaching activities.

Specifications

• max. 38 hours per week
• €3821—€5230 per month
• Maastricht View on Google Maps

Maastricht University (UM)

Requirements

1.       PhD degree in computer science or a closely related field.

2.       Strong computational and data science skills evidenced by peer-reviewed publications.

3.       Experience working with heterogenous datasets, good knowledge of semantic technologies.

4.       Ability to program in Python.

5.       Excellent ability to write, present and communicate in English (C1 level).

Conditions of employment

Fixed-term contract: 2 years.

The full-time position is offered for a period of 2 years subject to annual review. Renewal beyond the initial 2-year appointment possible subject to existence of funding and satisfactory performance.

The salary will be set in scale 11 (between € 3.821 and € 5.230 gross per month) depending on education and relevant work experience. On top of this, there is an 8% holiday and an 8.3% year-end allowance.

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 circa 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.

http://www.maastrichtuniversity.nl

The Institute of Data Science (IDS) at Maastricht University is a research centre embedded in the Faculty of Science and Engineering led by distinguished professor Michel Dumontier. IDS is an interfaculty.

institute consisting of a core team of data science experts that cooperate closely with researchers across disciplines such as medicine, life sciences, social sciences and humanities, business and economics, knowledge engineering  and smart services. 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.

https://www.maastrichtuniversity.nl/research/institute-data-science

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 – which houses the Institute of Data Science - 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.

https://www.maastrichtuniversity.nl/fse

Additional information

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

Apply via postal mail
Apply via postal mail

[email protected]

Don't forget to mention AcademicTransfer and the job number: AT2022.216 in your letter.

Back to the vacancy
Application procedure

Applicants are asked to apply via Academic Transfer, before June 6, 2022. Informal inquiries concerning this position can be directed to: Professor Christopher Brewster ([email protected] )

Applicants are asked to send their application via Academic Transfers as a single PDF document consisting of:  

1.       A curriculum vitae that includes the applicant’s publication list.

2.       A maximum two-page research statement that:

           a.       Presents the candidate’s expertise directly related to the requirements listed above. Of                       particular interest are experience with knowledge representation, FAIR data principles,                       and machine/deep learning.

           b.       Describes future research plans in the context of knowledge representation and                                  machine/deep learning.

3.       A (co)-authored publication most representative for the job description.

4.       The names and contact details of at least two persons who can provide recommendation letters.