<div dir="ltr"><p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><b><i><span style="font-size:10pt;font-family:Arial,sans-serif">Predict
failures better and avoid train delays, power outages, and other failures? </span></i></b><span style="font-size:10pt;font-family:Arial,sans-serif">Come join us and help </span><span style="font-size:10pt;font-family:Arial,sans-serif">realize the grand promises <i>if predictive maintenance</i>: Through an effective combination of
sensor techniques, big data analysis, maintenance engineering, we want to
predict failures better, so that maintenance can be more effective. The current
position focus on an effective combination of formal methods (fault trees,
stochastic model checking) and data analytics (decision trees, Bayesian
Networks, neural networks) understand failure behaviour and it root causes
better.<b><i></i></b></span></p>

<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-size:10pt;font-family:Arial,sans-serif;color:rgb(30,35,40)">PrimaVera project is funded by the
prestigious National Dutch Research Agenda. The project consortium is a team of
leading researchers from Eindhoven University of Technology, Radboud
University, Saxion, Haagse Hogeschool and the Dutch Aerospace Laboratory, as
well as several industrial partners. The project funds 16 positions in total.</span><span style="font-family:Arial,sans-serif;font-size:10pt"> </span></p>

<br>

<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:10pt;font-family:Arial,sans-serif">We seek </span></b><span style="font-size:10pt;font-family:Arial,sans-serif">an excellent PhD
candidate to work on the PrimaVera project with a strong background
in theoretical computer science, or mathematics, and skills to apply theory in practice. </span><span style="color:rgb(30,35,40);font-family:Arial,sans-serif;font-size:10pt">You are expected to collaborate with the industrial
partners on one or more case studies.</span></p>

<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 0.0001pt"><b style="font-family:Calibri,sans-serif;font-size:12pt"><span style="font-size:10pt;font-family:Arial,sans-serif">We offer </span></b><span style="font-family:Arial,sans-serif;font-size:10pt">a fully paid PhD
positions, with excellent salary and benefits, at a very strong and inspiring
research department. To apply, see </span><a href="https://www.utwente.nl/en/organization/careers/!/988018/2-phd-position-on-the-primavera-predictive-maintenance-for-very-effective-asset-management-project" style="font-family:Arial,Helvetica,sans-serif;font-size:small">here</a><font face="Calibri, sans-serif"><span style="font-size:12pt">. </span></font>Deadline: October 1.</p>

<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-size:10pt;font-family:Arial,sans-serif"> </span></p>

<p class="MsoNormal" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:10pt;font-family:Arial,sans-serif">We are </span></b><span style="font-size:10pt;font-family:Arial,sans-serif">the Formal Methods
& Tools at the University of Twente, the Netherlands. Ranked 1^st in
the last Dutch National Research Assessment. The project is led by
Prof.dr.Marielle Stoelinga: </span><span lang="EN-GB"><a href="mailto:m.i.a.stoelinga@utwente.nl" target="_blank"><span lang="EN-US" style="font-size:10pt;font-family:Arial,sans-serif">m.i.a.stoelinga@utwente.nl</span></a></span><span style="font-size:10pt;font-family:Arial,sans-serif"></span></p><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr">Prof.dr. Marielle Stoelinga</div><div dir="ltr">Professor of risk management for high-tech systems<br><div>University of Twente & Radboud University, the Netherlands</div><div>+31 53 489 3773 | <a href="http://wwwhome.ewi.utwente.nl/~marielle/coordinates.html" target="_blank">Address & contact</a> | <a href="http://wwwhome.ewi.utwente.nl/~marielle/" target="_blank">www.ewi.utwente.nl/~marielle/</a></div></div></div></div></div></div>