Job description
In the coming decades, dementia will pose an increasing burden
on society: the number of persons suffering from late-onset Alzheimer’s
disease is expected to quadruple by 2050. There is thus an urgent need
to develop effective preventive and therapeutic strategies. This
requires tools to identify individuals at risk or to recognise patients
ideally very early in the disease process.
Brain MRI is one of the most promising, non-invasive and relatively
low-cost techniques to gain information on the multitude of processes
involved in dementia. There is increasing insight that specific
(patterns of) image markers reflect certain pathways contributing to the
development of Alzheimer's disease.
The objective of the PhD programme is to develop a new methodology for
the extraction of biomarkers that characterise early stage dementia. The
developed methodology will be based on ASL, fMRI and other MRI
modalities. It must especially compensate for the unavoidable patient
motion and quantify the precision of the obtained biomarkers. The
methods will be integrated in a clinical prototype workstation.
on society: the number of persons suffering from late-onset Alzheimer’s
disease is expected to quadruple by 2050. There is thus an urgent need
to develop effective preventive and therapeutic strategies. This
requires tools to identify individuals at risk or to recognise patients
ideally very early in the disease process.
Brain MRI is one of the most promising, non-invasive and relatively
low-cost techniques to gain information on the multitude of processes
involved in dementia. There is increasing insight that specific
(patterns of) image markers reflect certain pathways contributing to the
development of Alzheimer's disease.
The objective of the PhD programme is to develop a new methodology for
the extraction of biomarkers that characterise early stage dementia. The
developed methodology will be based on ASL, fMRI and other MRI
modalities. It must especially compensate for the unavoidable patient
motion and quantify the precision of the obtained biomarkers. The
methods will be integrated in a clinical prototype workstation.
Requirements
We are looking for a talented and enthusiastic candidate with an
MSc degree in (applied) Physics, Mathematics, or a related subject.
He/she must have an excellent knowledge of written and spoken English,
and a top 20% ranking during his/her BSc and MSc. Experience in image
processing is helpful. Good programming skills in MATLAB and C are a
necessity.
MSc degree in (applied) Physics, Mathematics, or a related subject.
He/she must have an excellent knowledge of written and spoken English,
and a top 20% ranking during his/her BSc and MSc. Experience in image
processing is helpful. Good programming skills in MATLAB and C are a
necessity.
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. 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 Dr. D.H.J. Poot, phone, +31 (0)15-2781416, e-mail: d.h.j.poot@tudelft.nl.
To apply, please e-mail a detailed CV, publication list, references and
a letter of application by 4 January 2015 to Dr. Poot, d.h.j.poot@tudelft.nl.
When applying for this position, please refer to vacancy number TNWIP14-044.
Contract type: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. 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 Dr. D.H.J. Poot, phone, +31 (0)15-2781416, e-mail: d.h.j.poot@tudelft.nl.
To apply, please e-mail a detailed CV, publication list, references and
a letter of application by 4 January 2015 to Dr. Poot, d.h.j.poot@tudelft.nl.
When applying for this position, please refer to vacancy number TNWIP14-044.
Temporary,
4 years
Organisation
Delft University of Technology
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.
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.
Department
Applied Sciences
The position will be in the Department of Imaging Physics
(ImPhys) of the Faculty of Applied Sciences at the TU Delft. This
department performs cutting-edge research spanning the range from
understanding the basic principles underlying imaging technology to
automated image analysis.
The Quantitative Imaging (QI) section performs fundamental and applied
research in sensing (imaging systems), processing, analysis, and
interpretation of multi-dimensional images. The research is applied in
three multi-disciplinary programmes: medical image analysis,
bio-molecular imaging (mostly microscopy), and industrial imaging. These
programmes are conducted in close collaboration with partners in
academia (including several university medical centres), industry, and
governmental research institutes.
(ImPhys) of the Faculty of Applied Sciences at the TU Delft. This
department performs cutting-edge research spanning the range from
understanding the basic principles underlying imaging technology to
automated image analysis.
The Quantitative Imaging (QI) section performs fundamental and applied
research in sensing (imaging systems), processing, analysis, and
interpretation of multi-dimensional images. The research is applied in
three multi-disciplinary programmes: medical image analysis,
bio-molecular imaging (mostly microscopy), and industrial imaging. These
programmes are conducted in close collaboration with partners in
academia (including several university medical centres), industry, and
governmental research institutes.
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