[PHILOS-L] Postdoc (30 months) Philosophy and AI in Psychiatry at University of Copenhagen

[Sune Hannibal Holm]

CAUTION: This email originated outside of the University. Do not click links unless you can verify the source of this email and know the content is safe. Check sender address, hover over URLs, and don't open suspicious email attachments.

 

Postdoc opportunity at University of Copenhagen

 

The Department of Food and Resource Economics (IFRO) at the University of Copenhagen invites applications for a 2,5-year postdoc position on the ethics and epistemology of using artificial intelligence (AI) to predict psychiatric diagnoses. The postdoc will be placed in the Section for Consumption, Bioethics and Governance.

 

Application deadline: June 15, 2026.

Link to full advert: https://employment.ku.dk/faculty/?show=159765

 

The position is funded through the Algorithms and the Individual in Psychiatric Diagnosis project funded by Independent Research Foundation Denmark.

 

In recent years, there has been significant advances in the development of machine learning (ML) algorithms for risk prediction in relation to disorders such as bipolar disorder, depression, and schizophrenia. Should these algorithms find practical application, they have the potential to improve diagnostic accuracy and to identify the best treatment for patients. The project will examine a foundational normative question about the use of algorithms for psychiatric diagnosis: Is it ever morally permissible to act on a (possibly mistaken) algorithmic prediction of a mental disorder, and if so, under what circumstances?

 

The project aims to provide a comprehensive analysis of the epistemic and ethical justification for relying on algorithmic predictions in psychiatric diagnoses. The postdoc will be expected to work on the following tasks: (i) The epistemological criticism of statistical evidence, (ii) the proper role of algorithmic predictions in the clinical encounter, and (iii) the validity of algorithmic diagnosis of mental disorders.

 

Please do not hesitate to contact PI Sune Holm (su...@ifro.ku.dk) for further details about the project.

 

Philos-L "The Liverpool List" is run by the Department of Philosophy, University of Liverpool https://www.liverpool.ac.uk/philosophy/philos-l/ Messages to the list are archived at http://listserv.liv.ac.uk/archives/philos-l.html. Recent posts can also be read in a Facebook group: https://www.facebook.com/PhilosL/ Follow the list on Twitter @PhilosL. Follow the Department of Philosophy @LiverpoolPhilos To sign off the list send a blank message to philos-l-unsub...@liverpool.ac.uk.

[Sune Hannibal Holm]

CAUTION: This email originated outside of the University. Do not click links unless you can verify the source of this email and know the content is safe. Check sender address, hover over URLs, and don't open suspicious email attachments.

 

Postdoc opportunity at University of Copenhagen

 

The Department of Food and Resource Economics (IFRO) at the University of Copenhagen invites applications for a 2,5-year postdoc position on the ethics and epistemology of using artificial intelligence (AI) to predict psychiatric diagnoses. The postdoc will be placed in the Section for Consumption, Bioethics and Governance.

 

Application deadline: June 15, 2026.

Link to full advert: https://employment.ku.dk/faculty/?show=159765

 

The position is funded through the Algorithms and the Individual in Psychiatric Diagnosis project funded by Independent Research Foundation Denmark.

 

In recent years, there has been significant advances in the development of machine learning (ML) algorithms for risk prediction in relation to disorders such as bipolar disorder, depression, and schizophrenia. Should these algorithms find practical application, they have the potential to improve diagnostic accuracy and to identify the best treatment for patients. The project will examine a foundational normative question about the use of algorithms for psychiatric diagnosis: Is it ever morally permissible to act on a (possibly mistaken) algorithmic prediction of a mental disorder, and if so, under what circumstances?

 

The project aims to provide a comprehensive analysis of the epistemic and ethical justification for relying on algorithmic predictions in psychiatric diagnoses. The postdoc will be expected to work on issues related to: (i) The epistemological criticism of statistical evidence, (ii) the proper role of algorithmic predictions in the clinical encounter, and (iii) the validity of algorithmic diagnosis of mental disorders.

 

Please do not hesitate to contact PI Sune Holm (su...@ifro.ku.dk) for further details about the project.