PhD Candidate for the Project 'Interactive Inspection' within the AI4Oversight ICAI Lab

12 Mar 2024
Job Information

Organisation/Company

Leiden University

Research Field

Physics

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

26 Mar 2024 - 22:59 (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

Key responsibilities

Inspectorates aim to do their work in a selective, effective and reflective manner to maximise their societal benefit. This ambition is challenged by limited resources and an immense task load. The current project develops effective and responsible AI to support oversight at the national level.
The PhD candidate takes the lead in a project that involves the step towards real-time, interactive AI support for the inspection process. Instead of updating databases with observations after a site visit, inspectors will move to having live interactions with a data-driven model during the inspection. Their observations feed the model with new data, while also steering the instructions and questions the model presents to the inspectors, making sure that they make the most of the site visit. Responsibly integrating recent generative AI models into the workflow, in particular Large Language Models (LLMs), will be part of the challenge. The position involves the following key responsibilities:

• Conduct original and novel research in the fields of Interactive AI or Hybrid Intelligence, where AI models are built to naturally interface with and augment human capacities;
• Publish and present scientific articles at international journals and conferences;
• Collaborate with other PhD candidates and senior researchers in the AI4Overisight lab, researchers at the partners’ data science labs, the intended users, and other stakeholders;
• Assist in relevant teaching activities;

Requirements
Specific Requirements

Selection Criteria

The successful applicant should be a highly motivated university graduate with a strong track record as demonstrated by relevant experience, grades, and/or publications. The applicant is expected to have:

• MSc degree in Artificial Intelligence, Data science, Applied Mathematics, Computer science, or comparable;
• Good programming skills in e.g. Python;
• Solid experience with human-computer interaction, machine learning, generative AI / LLMs, Hybrid Intelligence, or related topics;
• Excellent communication skills in English. Dutch proficiency or willingness to learn is a plus;
• Ability and drive to work with diverse stakeholders, e.g., inspectors, policy makers, professionals in various sectors, academic researchers;
• A background check may be part of the selection procedure. As we are selecting multiple positions for this research lab, we may request to consider your application for another research track. We will contact you if we do so.

Additional Information
Benefits

Terms and conditions

We offer a full-time 1-year term position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility the appointment will be extended by a further three years. Salary ranges from € 2.770, - to € 3.539, - gross per month (pay scale P in accordance with the Collective Labour Agreement for Dutch Universities).

Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break.

All our PhD students are embedded in the Leiden University Graduate School of Science www.universiteitleiden.nl/en/science/graduate-school-of-of-science . Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness. In addition, advanced courses to deepen scientific knowledge are offered by the research school.

D&I statement
Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.

Selection process

Applications

To apply for this vacancy, please submit your application online via the blue button in the vacancy. Please ensure that you include the following additional documents quoting the vacancy number:

• CV;
• Motivation letter;
• Sample of written work (publication or MSc thesis excerpt) + 100-word motivation of the sample;

Only applications received before March 26, 2024 can be considered.

Additional comments

Information
Enquiries can be made to Max van Duijn ([email protected] ) and Cor Veenman
([email protected] ) If you have any questions about the procedure, please contact Anne-Marie Alleblas, email [email protected]

Website for additional job details

https://www.academictransfer.com/338910/

Work Location(s)

Number of offers available

1

Company/Institute

Universiteit Leiden

Country

Netherlands

City

Leiden

Postal Code

2311EZ

Street

Rapenburg 70

Geofield

Where to apply

Website

https://www.academictransfer.com/en/338910/phd-candidate-for-the-project-intera…

Contact

City

Leiden

Website

http://www.universiteitleiden.nl/

Street

Rapenburg 70

Postal Code

2311 EZ

STATUS: EXPIRED