PhD Position Human Autonomy in Human-AI interaction for Crowd Crises

PhD Position Human Autonomy in Human-AI interaction for Crowd Crises

Published Deadline Location
20 Jun 31 Jul Delft
To automate or not to automate crisis decisions?

Job description

A major challenge in crises is the combination of complexity, time pressure and moral decisions. AI has the potential to support first responders in crowd crises decisions, yet the increasing use of AI has led to a debate about the legal and ethical implications if decisions are automated and supported by AI. In this PhD project, we go beyond the ‘human in the loop’ paradigm, and investigate the implications of automation at scale in human-AI teams. This PhD is part of the NWO-funded AI-COMPASS project.

In human-AI-teams, tasks are conventionally assigned based on skills or expertise to ensure that performance is optimized. Often, the distinction between tasks to be automated (or not) are made via simplified guidelines (‘humans are better at’ / ‘ma¬chines are better at’). A hallmark of control and oversight of automated systems is the idea of human agency. However, in complex and decentralized net¬works, the implications of automation will emerge from the interaction of many humans with many AI systems, which is currently not considered.

This PhD position aims to contextualise automation and integrate group and team performance, where many humans are supported by AI. Given the complexity that is typical for crises, it is hard to oversee and understand the implications of any single decision. The networked effects of automation in decentralized human-AI teams need to be considered. Key questions are: which tasks or pro¬cesses can and should be automated? How can we maintain meaningful human autonomy and control in decentralized networks?

To address these questions, you will start from developing a conceptual model of human-AI interaction in decentralized networks based on the literature and empirical data collected through workshops with our stakeholders and partners. From there, you will design and implement an agent-based model that will integrate human decision-makers from different organisations (e.g., police, municipality) and artificial agents that support these humans by automating information acquisition, analysis, or decision-making. This model will then be used to analyse a range of crisis scenario for our two most prominent use cases in The Hague and Rotterdam. The insights from the simulations will then be coupled to the concept of human moral auton¬omy, which defines the conditions that need to be fulfilled for human decision-makers to be able to maintain moral agency when interacting with an AI. The results will lead to coordination guidelines for human-AI-teams in crisis response that detail which processes to automate, and under which circumstances.

The position is a part of the AI-COMPASS team of three PhD researchers that will collectively research crowd crisis management at the TU Delft. This position is embedded at the Faculty of Technology, Policy & Management (TPM), and will be jointly supervised with the faculty of Civil Engineering. As such, the candidate will be joining a vibrant and growing community. You will be supervised by Prof. Tina Comes and Prof. Serge Hoogendoorn, and you will closely collaborate with Dr. Sascha Hoogendoorn-Lanser. This embedding ensures access to a broad network of partners in research, policy and practice. You may also gain experience in supervising MSc students and engage in teaching and training. Via our network and tailored mentoring, we will create opportunities for you to develop your career through support for conferences, collaborations, and training possibilities

Specifications

Delft University of Technology (TU Delft)

Requirements

You are a highly motivated and enthusiastic researcher with the ambition to conduct high-quality interdisciplinary research that pushes the boundaries of human-centred AI research in crises.

  • You have an MSc degree in a field with a strong emphasis on computer science and modelling, such as computational social science (essential).
  • You have demonstrated expertise in agent-based modeling (essential).
  • You have a keen interest in solid empirical foundations for your models. Experience in working with stakeholders and project partners in workshops is a plus (desirable).
  • You are interested in the concepts of human autonomy, and AI ethics more broadly (essential).
  • You have excellent study results and excellent command of English (essential).
  • You have knowledge in the field of crisis / disaster management or resilience (desirable),
  • You are keen to collaborate with project partners and to translate your insights into practice and policy (desirable).
  • You thrive in a collaborative and multi-disciplinary environment (essential).

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Conditions of employment

Fixed-term contract: 4 years.

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. 

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

Employer

Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Department

Faculty Technology, Policy and Management

The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.

Click here to go to the website of the Faculty of Technology, Policy and Management.

Additional information

For more information about this vacancy, please contact Prof. Tina Comes (t.comes@tudelft.nl).

Specifications

  • PhD
  • Behaviour and society
  • 36—40 hours per week
  • €2770—€3539 per month
  • University graduate
  • TUD05481

Employer

Delft University of Technology (TU Delft)

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Location

Mekelweg 2, 2628 CD, Delft

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Application procedure

Are you interested in this vacancy? Please apply before 31 July 2024.

Please apply by submitting the following information:

  • Curriculum Vitae (CV).
  • Two-page motivation letter indicating your research interests and experience.
  • One-page proposal with a rough description how you will approach the presented problem.
  • Diplomas/degrees including a grade transcript of previous education at Bachelor and Master level (or preliminary grade transcript if still finishing up your MSc). 

Please note:

  • A pre-employment screening can be part of the selection procedure.
  • You can apply online. We will not process applications sent by email and/or post.
  • Please do not contact us for unsolicited services.

Application procedure

Application procedure

Are you interested in this vacancy? Please apply before 31 July 2024.

Please apply by submitting the following information:

  • Curriculum Vitae (CV).
  • Two-page motivation letter indicating your research interests and experience.
  • One-page proposal with a rough description how you will approach the presented problem.
  • Diplomas/degrees including a grade transcript of previous education at Bachelor and Master level (or preliminary grade transcript if still finishing up your MSc). 

Please note:

  • A pre-employment screening can be part of the selection procedure.
  • You can apply online. We will not process applications sent by email and/or post.
  • Please do not contact us for unsolicited services.

Make sure to apply no later than 31 Jul 2024 23:59 (Europe/Amsterdam).