PostDoc Position on Knowledge-Based Diagnostic Reasoning

Updated: about 1 month ago
Deadline: 09 Jun 2024

7 May 2024
Job Information
Organisation/Company

Vrije Universiteit Amsterdam (VU)
Research Field

Technology
Researcher Profile

Recognised Researcher (R2)
Country

Netherlands
Application Deadline

9 Jun 2024 - 21:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

A 3-year full-time PostDoc student position is available at the Knowledge in Artificial Intelligence (KAI) group of the Vrije Universiteit Amsterdam, in close collaboration with ASML Veldhoven. The successful candidate will investigate Knowledge Representation and Engineering challenges as part of a close collaboration with ASML on the usage of knowledge intensive methods for Diagnostic Reasoning.

Diagnostics of large Cyber-physical systems is a highly complex process involving both (sensor and other quantitative) data about the machines, as well as rich sources of highly diverse knowledge, that comes in form of tribal knowledge, expert knowledge, design knowledge, documentation and formal specification, and present in numerous different modalities, such as texts, table, diagrams and very often simply in the heads and folklore of the experts. In order to reason about system failures, we need to model this knowledge formally to make it suitable for (diagnostic) reasoning.

In this project, which is a collaboration between the VU Amsterdam, the Universiteit van Amsterdam and ASML, the main challenges will be:

  • to design an ecosystem of knowledge bases that model the respective information in the most suitable formalism, while providing maximal interoperability
  • the construction of (consensus) vocabularies
  • to combine the modelled and extracted formalised knowledge and to apply diagnostic reasoning to identify likely causes of a systems failure

While Knowledge Graphs and Ontologies will be good starting points from a modelling perspective we expect the reasoning methods that will be developed to require mixed and modular reasoning, possibly combining knowledge graphs with probabilistic or approximate reasoning given the diverse nature of the knowledge sources.

To maximally benefit from the collaboration between the academic and industrial partners, the successful candidate will spend about 50% of their time at ASML and 50% at the VU.


Requirements
Specific Requirements

We are looking for a PostDOC candidate passionate about Artificial Intelligence, in particular knowledge representation & reasoning (KR&R). Knowledge of semantic technologies, formal methods, and applied (possibly probabilistic) logics is a plus, as is experience with diagnostics and the modelling of cyber-physical systems. Candidates are expected to have completed a PhD in Computer Science or Artificial Intelligence or a closely related field.

The project is led by dr. Stefan Schlobach (Knowledge in AI group at VU Amsterdam)

As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.

We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.


Additional Information
Benefits

A challenging position in a socially engaged organisation. At VU Amsterdam, you contribute to education, research and service for a better world. And that is valuable. So in return for your efforts, we offer you:

  • a salary of minimum € 3.226,00 (Scale 10) and maximum € 5.090,00 (Scale 10) gross per month, on a full-time basis. This is based on UFO profile Researcher 4. The exact salary depends on your education and experience.
  • a position for at least 1.0 FTE. Your employment contract will initially last 1 year including a two month probation period. After a satisfactory end evaluation of the initial appointment, the contract will be extended for a total duration of 3 years.

We also offer you attractive fringe benefits and regulations. Some examples:

  • A full-time 38-hour working week comes with a holiday leave entitlement of 232 hours per year. If you choose to work 40 hours, you have 96 extra holiday leave hours on an annual basis. For part-timers, this is calculated pro rata.
  • 8% holiday allowance and 8.3% end-of-year bonus
  • solid pension scheme (ABP)
  • contribution to commuting expenses
  • optional model for designing a personalized benefits package

Additional comments

Are you interested in this position? Please apply via the application button before May 30, 2024. Please include in your application a short motivation letter, your CV, and a 1 page statement about your previous research.

We strongly encourage women and people to apply who contribute with their personal identity to the diversity of the VU and the KAI group.

If you have any questions regarding moving to Amsterdam, and working at VU Amsterdam, you may contact:

E-mail: [email protected]

Applications received by e-mail will not be considered.

Acquisition in response to this advertisement is not appreciated.


Website for additional job details

https://www.academictransfer.com/341251/

Work Location(s)
Number of offers available
1
Company/Institute
Vrije Universiteit Amsterdam
Country
Netherlands
City
Amsterdam
Postal Code
1081HV
Street
De Boelelaan 1111
Geofield


Where to apply
Website

https://www.academictransfer.com/en/341251/postdoc-position-on-knowledge-based-…

Contact
City

Amsterdam
Website

http://www.vu.nl/
Street

De Boelelaan 1105
Postal Code

1081 HV

STATUS: EXPIRED

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