PostDoc; Visual Analytics for trustworthy AI in long-term health risk assessment
PostDoc; Visual Analytics for trustworthy AI in long-term health risk assessment
Job description
We are seeking a highly motivated candidate for a PostDoc position focused on visual analytics for explainable and trustworthy AI for risk assessment in healthcare.
This position is part of the SmartCHANGE (www.smart-change.eu) Horizon-Europe Research & Innovation project whose overall goal is to develop trustworthy AI-based decision-support tools to help health professionals and citizens reduce long-term risk of non- communicable chronic diseases (NCDs). The aim is to accurately assessing the risk of children and youth, including those with difficult-to-detect risks, and promoting the delivery of optimized risk-lowering strategies.
The postdoc will address the human-in-the-loop aspects for model self-auditing, and prediction understanding through visual analytics. The methods will aim at model understanding by machine-learning experts and health professionals. Visual analytics solutions will develop around the concept of counterfactuals to support bias identification, uncertainty estimation, and analysis of predictive and prescriptive model results. One of the main challenges will be to develop these solutions in the context of missing and heterogeneous data.
It is expected to develop prototypes based on the proposed methods following a suitable visual design process. The evaluation will be performed in collaboration with other members of the SmartChange consortium following, e.g., co-creation design approaches.
It is expected that the Postdoc will also play a relevant role in the organization and coordination of the project with the different members of the consortium and stakeholders.
The project will be developed within the visualization cluster under the supervision of Prof. Anna Vilanova (a.vilanova[at]tue.nl) and in strong collaboration with the Data and Artificial Intelligence cluster specifically Prof. Mykola Pechenizkiy group.
The visualization cluster (https://research.tue.nl/en/organisations/visualization) at TU/e has a strong track record in visualization and visual analytics for ML models and high- dimensional data. It has generated several award winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several successful start-up companies (MagnaView, Process Gold and SynerScope); and a number of techniques that are used on a large scale world-wide.
This position is part of the SmartCHANGE (www.smart-change.eu) Horizon-Europe Research & Innovation project whose overall goal is to develop trustworthy AI-based decision-support tools to help health professionals and citizens reduce long-term risk of non- communicable chronic diseases (NCDs). The aim is to accurately assessing the risk of children and youth, including those with difficult-to-detect risks, and promoting the delivery of optimized risk-lowering strategies.
The postdoc will address the human-in-the-loop aspects for model self-auditing, and prediction understanding through visual analytics. The methods will aim at model understanding by machine-learning experts and health professionals. Visual analytics solutions will develop around the concept of counterfactuals to support bias identification, uncertainty estimation, and analysis of predictive and prescriptive model results. One of the main challenges will be to develop these solutions in the context of missing and heterogeneous data.
It is expected to develop prototypes based on the proposed methods following a suitable visual design process. The evaluation will be performed in collaboration with other members of the SmartChange consortium following, e.g., co-creation design approaches.
It is expected that the Postdoc will also play a relevant role in the organization and coordination of the project with the different members of the consortium and stakeholders.
The project will be developed within the visualization cluster under the supervision of Prof. Anna Vilanova (a.vilanova[at]tue.nl) and in strong collaboration with the Data and Artificial Intelligence cluster specifically Prof. Mykola Pechenizkiy group.
The visualization cluster (https://research.tue.nl/en/organisations/visualization) at TU/e has a strong track record in visualization and visual analytics for ML models and high- dimensional data. It has generated several award winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several successful start-up companies (MagnaView, Process Gold and SynerScope); and a number of techniques that are used on a large scale world-wide.
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
:fill(white)/logos/tue-en-wide_acOLN2b.png)
Eindhoven University of Technology (TU/e)
Requirements
We are looking for a candidate who meets the following requirements:
- You are enthusiastic about research in visual analytics, explainable AI, human-in-the- loop solutions in the healthcare context.
- You have a PhD in visual analytics ideally in relation to explainable AI and/or healthcare context.
- You have good communication skills, organizational and are able to work in a multidisciplinary team.
- You have strong programming skills (e.g., C++, Python,…).
- You are creative, critical, analytical, motivated, and persistent.
- You have a good command of the English language (knowledge of Dutch is not required, although willingness to learn is highly appreciated).
Conditions of employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.
- Full-time employment for 3 years.
- Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. €3,877 max. €5,090).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs on general skills, didactics and topics related to research and valorization.
- An excellent technical infrastructure, on-campus children's day care and sports facilities.
- Partially paid parental leave and an allowance for commuting, working from home and internet costs.
- A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.
Additional information
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Prof. Anna Vilanova, a.vilanova[at]tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.MCS[at]tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application using the apply-button.
The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Prof. Anna Vilanova, a.vilanova[at]tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.MCS[at]tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application using the apply-button.
The application should include a:
- Cover letter in which you describe your motivation and qualifications for the position.
- Curriculum vitae, including a list of your publications and the contact information of three references.
- List of five self-selected 'best publications'.
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
Specifications
- Postdoc
- Engineering
- max. 38 hours per week
- University graduate
- V32.6898
Employer
Location
Interesting for you
Apply for this job
Apply for this job
This application process is managed by the employer (Eindhoven University of Technology (TU/e)). Please contact the employer for questions regarding your application.
Thank you for applying
Please contact the employer for questions regarding your application.
Tip: save this job as favorite in your AcademicTransfer account. This gives you an immediate overview and makes it easy to find the job later on. No account yet? Create it now and take advantage of other useful functionalities too!
Application procedure
Application procedure
Make sure to apply no later than 22 Oct 2023 23:59 (Europe/Amsterdam).