Connectionists: PhD position in Computer Vision & Machine Learning for Painting Analysis

[Laurens van der Maaten]

The Computer Vision Lab at Delft University of Technology (The Netherlands) is soliciting applications for a fully funded PhD position in Computer Vision and Machine Learning for Painting Analysis. The prospective PhD student will be supervised by Laurens van der Maaten.

The research is part of the European FP7 project INSIDDE (insidde-fp7.eu). The goal of the project is to uncover hidden elements in paintings by artists such as Van Gogh and Rembrandt. In the project, there will be a particular focus on the development of analysis techniques for terahertz images.

Your task in the project will be to develop new computer vision and machine learning algorithms to analyse terahertz, x-ray, and XRF images of paintings. In particular, you will try to identify and visualise hidden paint layers, and in doing so, to uncover (parts of) underpaintings. To this end, you will work on problems such as blind-source separation, texture analysis, and segmentation; making use of convolutive independent components analysis, conditional random fields, generative models, and deep learning. You are also encouraged to develop your own research ideas within the context of the project.

Requirements
You have obtained an MSc or equivalent degree or expect to obtain an MSc very soon. Interested applicants should have a background and interest in some or all of the following subjects, or a related discipline: computer vision, machine learning, image processing, and pattern recognition.

The successful applicant will have:
• good programming skills;
• curiosity and good analytical skills;
• the ability to work in a multi-disciplinary team;
• good oral and written communication skills;
• proficiency in English.

Conditions of employment
TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home (with a contract of two years or longer), and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.phd.tudelft.nl for more information. 

For more information about this position, please contact Laurens van der Maaten, phone: +31 (0)15-2788434, e-mail: l.j.p.vandermaaten at tudelft.nl. Interested applicants should send an up-to-date curriculum vitae, a letter of application, a transcript of grades obtained during MSc studies, and the names and contact information (telephone number and e-mail address) of two references. The letter of application should summarize: 1) why the project is of interest to the applicant and 2) a brief description of the applicant's prior experience in machine learning and computer vision (e.g., a description of the research performed in the context of the applicant's MSc thesis). Please e-mail your application by 30 June 2013 to Laurens van der Maaten, Hr-eemcs at tudelft.nl. When applying for this position, please refer to vacancy number EWI2013-14.

Contract type: Temporary, 4 years

Organization
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

The Department of Intelligent Systems conducts research on processing and interpretation of data to enable man and machine to deal with the increasing volume and complexity of data and communication. We have a strong focus on medical and health sciences. One of our research labs is the Computer Vision Lab (visionlab.tudelft.nl). 

Within the Computer Vision Lab we perform research in the area of computer vision, image analysis and video analysis. Our focus is on analysing and interpreting multidimensional data (image sequences, multiple cameras, 3D/4D medical data like MRI and CT), in particular by using machine-learning approaches to accomplish the vision task. The main research fields currently covered are 3D imaging, (bio)medical imaging, social/human signal processing and surveillance. We teach image processing and computer vision courses in the Computer Science undergraduate and graduate programs.

Additional information
Laurens van der Maaten
+31 (0)15-2788434
l.j.p.vandermaaten at tudelft.nl

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