Multiple PhD and Postdoc Positions on PROCESS MINING at Eindhoven University of Technology

### Multiple PhD and Postdoc Positions on PROCESS MINING at Eindhoven University of Technology ###


We are continuously looking for excellent candidates working on process mining, i.e., analytical 
approaches on the interplay between data mining/machine learning and process modeling and analysis.  
Therefore, we are looking for candidates with a strong background in data mining, machine learning, 
process analytics, formal methods, predictive analytics, and/or Big Data. 


(1) For 2014, we are still looking for:


***** PhDs working on Process Mining in Collaboration with DSC/e and Philips *****


The AIS group is one of the leading groups in the exciting new field of process mining 
(www.processmining.org). Process mining techniques focus on process discovery (extracting process 
models from event logs), conformance checking (comparing normative models with the reality recorded 
in event logs), and extension (extending models based on event logs). The work resulted in the 
development of the ProM framework that is widely used in industry and serves as a platform for new 
process mining techniques used by research groups all over the globe. Moreover, many of the 
techniques developed in the context of ProM have been embedded in commercial tools. See also 
www.processmining.org.


The Data Science Centre Eindhoven (DSC/e) is TU/e's response to the growing volume and importance 
of data and the need for data & process scientists (http://www.tue.nl/dsce/). The DSC/e has recently 
started a long-term strategic cooperation with Philips Research Eindhoven on three topics: data science, 
health and lighting. As a first concrete action,
70 PhD students are being hired for these three topics using joint funding from the TU/e and Philips, of 
which 18 PhD students will work on the data science topic. These students will together with 
researchers from the TU/e and Philips form a strong research community working together on scientific 
and industrial challenges.




=========== PhD positions on process mining ============== 
The following four PhD positions will be related to the topic of process mining:


1) Product-centric Consumer Data Analytics: Product Usage Lifecycle Analysis [part of the >>Data Driven 
Value Proposition<< theme] Digital components are being added to Philips lifestyle products. The data 
from these products as well as from Philips touch points must be combined to optimize user experience 
and maintain customer satisfaction. Process mining techniques will be used to analyze the usage of 
products over a longer period of time.


2) Transforming Event Data into Predictive Models [part of the >>Healthcare Smart Maintenance<< 
theme] Philips has strong leadership positions in healthcare imaging and patient monitoring systems. In 
the healthcare domain, reducing equipment downtime and cost of ownership for hospitals is of vital 
importance. Smart maintenance exploits that professional equipment is connected to the internet and 
aims to use event and sensor data for overall cost reduction. Process mining techniques will be used to 
learn dynamic models that can be used for prediction and optimization.


3) Predictive Analytics for Healthcare Workflows
4) Radiology Workflow Optimization and Orchestration [both part of the >> Optimizing Healthcare 
Workflows << theme] The delivery of patient care in hospital is a complex workflow based on fixed 
protocols. 
Optimization of patient care at reduced cost requires the orchestration of multiple clinical workflows.  
Timely getting the imaging/lab tests done and getting the results back to physicians can help quickly 
diagnose/treat the patient, and save lives. The rapid digitization of diagnostics in radiology and 
pathology calls for a data-driven optimization of the workflows. Process mining will be used to learn 
models for the as-is situation. 
However, process technology will also be used to improve the processes. Hence, people With a 
background in operations research, simulation and/or BPM are encouraged to apply.


=========== How to apply ==============


The Data Science Center Eindhoven (DSC/e) is looking for in total 18 PhDs in the area of data science. 
The entire project is divided into 5 themes. Within three themes there is a need for process mining (see 
above). If you are interested in a PhD on process mining please clearly indicate so in your application!


Apply via http://jobs.tue.nl/nl/job/18-phd-positions-on-data-science-joint-project-data-science-center-
philips-190316.html. 




=========== Job qualifications ==============


Candidates should:
- have an MSc in Computer Science or a related discipline (e.g., Statistics or Operations Research)
- have a strong interest in data science research and in process mining in particular
- be highly motivated
- able to develop software to allow for experimentation
- be a fast learner, autonomous and creative, show dedication and be hard working
- possess good communication capabilities and be an efficient team worker
- be fluent  in English, both spoken and written


PhD students are expected to:
- perform scientific research in the domain described
- collaborate with other researchers in this project
- present results at (international) conferences
- publish results in scientific journals
- participate in activities of the group and department, at both sites
- assist in teaching undergraduate/graduate courses
- participate in EIT doctoral training on entrepreneurship and related topics
- be willing to work at two locations (TU/e campus and Philips High Tech Campus)


Appointment and salary



We offer:
- a full-time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 
months
- a gross salary of ? 2,083 per month in the first year increasing up to ? 2,664 per month in the fourth 
year
- a holiday allowance of 8% and an end-of-year bonus of 8.3% (annually)
- assistance in finding accommodation (for foreign employees)
- the opportunity to perform research in a large-scale joint project from a leading technical university 
and a leading high-tech company
- support for your personal development and career planning including participation in the EIT doctoral 
training, courses, summer schools, conference visits, research visits to other institutes (both academic 
and industrial), etc.
- a broad package of fringe benefits (including excellent technical infrastructure, child day care, savings 
schemes and excellent sport facilities).


Selection procedure


Candidates must apply using the web form on this page, providing a detailed CV and a motivation letter 
that indicates one or more of the PhD projects that the candidate wishes to apply for.  Selection will be 
on-going in the period July 1, 2014 - November 1, 2014. This means that suitable candidates will be 
interviewed and if deemed fit, be hired immediately without waiting for applications of other 
candidates.


More information:


For more information about the project, please contact Wil van der Aalst 
(http://wwwis.win.tue.nl/~wvdaalst/). 
Before asking very general questions, please make sure to have a good overview of the process mining 
work done at AIS.
For example, visit www.processmining.org, read 
http://wwwis.win.tue.nl/~wvdaalst/cover_process_mining_book.pdf,
and play with the ProM software. Also visit http://wwwis.win.tue.nl/~wvdaalst/ and 
http://www.win.tue.nl/ais/.
You may also consider registering for the Massive Open Online Course on Process Mining: 
https://www.coursera.org/course/procmin. 
There is no detailed description of each PhD position. The process mining techniques to be applied and 
developed are/should be generic and will be used in different projects within Philips.


For information about employment conditions please contact Mrs. C.M. van Dam, HR advisor TU/e, 
email: pzwin@tue.nl, telephone +31 40 247 2735, or Mr. C.M. Kuiters, HR advisor TU/e, email: 
pzwin@tue.nl, telephone +31 40 247 2321.




(2) Next to the PhD positions that we aim to fill in the next couple of months. 


For 2015, we are also looking for:


*********** Postdocs working on Process Mining  **************


These positions will only open next year. However, given the large demand for experts working on 
process mining we are already looking for people having the right background to fill these positions. 
Please send expressions of interest to Wil van der Aalst (http://wwwis.win.tue.nl/~wvdaalst/). Please 
include a clear motivation letter demonstrating your experience and knowledge of process mining. 
General applications without a clear motivation letter will be discarded. 

Microsoft EMEA Scholarship in Massive Data Analysis in Warwick UK

In exceptional cases, it may be possible to support students from outside the EU.

==================================================================================

Microsoft EMEA Scholarship in Algorithms for Massive Data Analysis


A Microsoft Research scholarship place is available to study algorithms for massive data analysis, leading to a PhD in Computer Science. Increasingly, we are faced with larger and larger volumes of data from which to extract insights and intelligence. Of particular interest is data that can be represented as a graph or (adjacency) matrix. A promising approach is to look for ways to "sketch" such structures: to build a representation that is much more compact than the input, but which allows some function of interest on the original data to be approximated accurately using the sketch. Such sketches are well-known and widely used for data that can be represented as a vector (such as to identify the most frequent elements, or to count the number of distinct items). The goal of this scholarship project is to develop new algorithms for sketching of massive graphs and matrices, and to demonstrate their usefulness via theoretical analysis and empirical
 evaluation. The hope is to ad!
 vance our knowledge of the theory in this area, and design algorithms which can be used in practice, such as for querying data represented as a (massive) graph, clustering/partitioning graph structured data, and optimization problems over large graphs.


The scholarship will support tuition fees and stipend to study at University of Warwick, under the guidance of Professor Graham Cormode and Dr. Milan Vojnovic of Microsoft Research. The Microsoft PhD Scholarship Programme recognises and supports exceptional students who show the potential to make an outstanding contribution to science and computing. Each Microsoft scholarship consists of an annual bursary for up to a maximum of three years.


During the course of their PhD, Scholars are invited to Microsoft Research in Cambridge for an annual Summer School that includes a series of talks of academic interest and posters sessions, which provides the Scholars the opportunity to present their work to Microsoft researchers and a number of Cambridge academics. There is also the possibility of internships at Microsoft Research. Applicants require a first-class Honours degree or equivalent in Computer Science, Mathematics or Computer Engineering, experience in programming and aptitude for mathematical subjects. Knowledge of algorithms, linear algebra, graph theory and probability is essential. A Masters degree is desirable. Before the Scholarship can be awarded the candidate must also undergo the formal admission procedure to the university of Warwick, and approval from Microsoft Research. The scholarship covers fees for students from European Union countries. In exceptional cases, it may be
 possible to support students from outside the EU.


To apply, please contact Graham Cormode or Milan Vojnovic directly with a CV and description of your experience relevant to this project. Please apply by January 31 2015 for full consideration. Further details and suggested reading is available from Prof. Graham Cormode.

Two PhD Positions in Smart Grid Communications and Cloud Computing

Application deadline: October 31, 2014

We are looking for two self-motivated, highly qualified PhD students with solid analytic background and interest in communications and networks. The successful candidates will pursue their PhD studies at the Electrical and Computer Engineering Department of Clarkson University, starting as early as Spring 2015 or Fall 2015.


Clarkson University is New York State’s highest ranked small research institution with rigorous programs in engineering, arts, sciences, business and health professions. Clarkson is a private research university located in Potsdam, New York founded in 1896.


The students should have earned Master’s Degree in electrical engineering, computer engineering or computer science. Strong mathematical background and hands-on experience on physical testbeds, as well as in simulation environments are desired. Successful candidates are expected to contribute to research projects of the supervisor, work in an international team and participate in teaching activities of the department. Good written and oral communication skills are required.


Students with interest in smart grid communications, wireless communications, demand management, cyber-physical systems and wireless power transfer should contact Dr. Melike Erol-Kantarci (merolkan@clarkson.edumerolkan@clarkson.edu>) with a letter of interest, and CV with academic background, publication list and list of references.


Students with interest in cloud computing and communications, big data, social networks and crowdsensing systems should contact Dr. Burak Kantarci (bkantarc@clarkson.edubkantarc@clarkson.edu>) with a letter of interest, and CV with academic background, publication list and list of references.

PhD Studentship opportunity in the Birmingham School of the Built Environment

Birmingham City University - Birmingham School of the Built Environment

Qualification type:	PhD
Location:	Birmingham
Funding for:	UK Students, EU Students, International Students
Funding amount:	£13,863
Hours:	Full Time

 

Placed on:	19th September 2014
Closes:	24th October 2014

As part of our ongoing investment in research, the University’s Faculty of Computing, Engineering and the Built Environment is pleased to announce the availability of a fully funded PhD research studentship to start in February or May 2015. We welcome applications from UK, EU and Overseas students. The Birmingham School of the Built Environment, and its associated research centres, has an international profile in a number of research areas including environmental and spatial planning, ecosystems services, construction, digitising the built environment, Building Information Modelling, sustainable systems, and environmental governance. We work closely with professional bodies and employers across the built and natural environment, and much of our research is designedly interdisciplinary. We have identified a number of PhD topics – details and contacts are available on our website – that extend our existing research strengths and welcome applications in these areas.

The Award: The studentship covers the cost of tuition fees at the UK/EU rate or, in exceptional circumstances, the overseas rate and a stipend. In the 2014/2015 academic year, the stipend is £13,863. The studentship is available to support three years' full-time study, subject to satisfactory progress, and there is an expectation that students will also deliver up to 6 hours of teaching/demonstrating per week. 

Requirements: We welcome applications from candidates with a good undergraduate degree (1or 2:1) or masters degrees (merit/distinction) in relevant disciplines. Applicants can have a variety of backgrounds but must be willing to cross disciplines and be able to communicate effectively with people at many levels: good written and verbal communication skills are essential.

Criteria: Studentships will be awarded based on academic excellence, alignment of expertise with the outlined research interests, and potential for future achievement. You are encouraged to informally contact individual staff to discuss specific topics outlined on the centre’s website:

http://www.bcu.ac.uk/research/-centres-of-excellence/centre-for-environment-and-society/phd-mphil

Deadline for applications: 24th October 2014.Interviews for shortlisted candidates: 10-14 November 2014.

How to apply: For further details, eligibility and an application form, please follow the link:

http://www.bcu.ac.uk/computing-engineering-and-the-built-environment/research/phd-mphil

Postdoc position in cognitive neuroscience Oldenburg, Germany

The Neuropsychology lab at the Department of Psychology, Carl von Ossietzky University Oldenburg, Germany, is offering the post of a

Postdoctoral Researcher 

(pay scale 13 TV-L 100%)

fixed for a period of two years. The post is available from April 1st 2015 or earlier. The post is suitable for part time work.

Qualifications:

Academic university degree(e. g. Master or Diploma)

PhD in psychology, cognitive neuroscience or a related area

Substantial experience in conducting and analysing EEG and/or fMRI studies

Expertise in Matlab

Fluency in written and spoken English

A background in one of the two main research areas outlined below is desirable.

Tasks:

To plan, conduct, and analyse studies in the area of neurofeedback/BCI in neurorehabilitation

Collaboration in studies in the area of visual-temporal attention

Publication of research results in peer-reviewed journals

Supervision of MSc student projects on visual-temporal attention and on neurofeedback/BCI

The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, we explicitly ask for women to apply. Equally qualified female candidates will be given preference. 

Applicants with disabilities will be preferentially considered in case of equal qualification.

For more information contact Dr. Cornelia Kranczioch, cornelia.kranczioch@uni-oldenburg.de, Tel. ++49 (0)441 7982172. Application deadline is the 24.10.2014. Please send your application (CV, publication list, university certificates, statement of research interests and research experience, contact information of two referees), preferably as PDF to:

Dr. Cornelia Kranczioch

cornelia.kranczioch@uni-oldenburg.de

Abteilung Neuropsychologie

Department für Psychologie

Fakultät VI Medizin und Gesundheitswissenschaften

Universität Oldenburg

26111 Oldenburg

Germany

Postdoc, PhD/MSc, SW Engineer positions at the Technical University of Crete

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There are currently openings for Postdoc researchers, funded PhD/MSc students,
and Software Engineers at the SoftNet Lab of the Technical University of Crete
(www.softnet.tuc.gr). These are full-time positions and successful candidates 
will be working with Prof. Minos Garofalakis in the area of Big Data Analytics.
The positions are funded by several ongoing Big Data projects at SoftNet, 
including:



(1) The Human Brain Project (HBP), FET Flagship  (www.humanbrainproject.eu)


(2) Flexible Event Processing for Big Data Arcitectures (FERARI), ICT-STREP 
(www.ferari-project.eu)


(3) Configurable Real-time Data Processing Infrastructure Mastering Autonomous 
Quality Adaptation (QualiMaster), ICT STREP (www.qualimaster.eu)




Interested candidates are asked to send a CV (including names of 2-3 references and, 
if available, a list of publications) to Prof. Minos Garofalakis (minos@softnet.tuc.gr,
www.softnet.tuc.gr/~minos). 

PhD openings in immersive visual communication

PhD Openings in ECE @ UA



PhD candidates are solicited in the Department of Electrical and Computer Engineering of the University of Alabama. The candidates will join the newly formed Laboratory for Immersive Communication headed by Prof. Jacob Chakareski. The positions are fully funded (stipend & tuition for up to four years) and are available immediately, once the suitable candidates pass the university application requirements.


Students at the B.S. or M.Sc. level with background in Electrical and Computer Engineering or Computer Science are encouraged to apply. The accepted candidates will work on exciting research problems at the intersection of immersive visual communication, human psychophysics, computer networks, and social computing. Our investigations target diverse applications including camera sensor networks, 3D video streaming, cloud-computing, P2P systems & online communities, crowd-sourcing-based content generation, telemedicine, IPTV, wireless ad-hoc networking, etc.


Solid mathematical background and knowledge of programming languages and software tools (e.g., Matlab, NS-2/3) are required. Above all, the applicants must be self-motivated to learn quickly and work effectively on challenging research problems.


For a description of recent research activities carried out by Prof. Chakareski, please visit the site www.jakov.orgjakov.org>.


Application process: Please send your CV in attachment to Prof. Chakareski at jakov@jakov.orgjakov.org>, and specify in the subject line "Application for ECE PhD positions at UA". Please describe briefly your background and research interests in the e-mail.


GRE and TOEFL (for international applicants) scores are required for the university application. The applicant is encouraged to include in the application e-mail copies of his/her university transcripts and arrange for three reference letters to be sent separately to Prof. Chakareski. PDF copies of research articles authored by the applicant are welcome to be included, too.


Related references:
J. Chakareski, "Wireless streaming of interactive multi-view video via network compression and path diversity," IEEE Trans. Communications, vol. 62, no. 4, pp. 1350-1357, Apr. 2014.
J. Chakareski, "Transmission policy selection for multi-view content delivery over bandwidth constrained channels," IEEE Trans. Image Processing, vol. 23, no. 2, pp. 931-942, Feb. 2014.
J. Chakareski, V. Velisavljević, and V. Stanković, "User-Action-Driven View and Rate Scalable Multiview Video Coding," IEEE Trans. Image Processing, Sep. 2013.
J. Chakareski, "Adaptive multi-view video streaming: Challenges and opportunities," IEEE Communications Magazine, vol. 51, no. 5, pp. 94-100, May 2013.
J. Chakareski, "Bridging social and data networks," IEEE Signal Processing Magazine, Mar. 2012.
N. Thomos, J. Chakareski, and P. Frossard, "Prioritized Distributed Video Delivery With Randomized Network Coding," IEEE Trans. Multimedia, vol. 13, no. 4, Aug. 2011.

Two PhD positions in computer and human vision and learning at the University of Wisconsin-Milwaukee

Job description

Applications are invited for two PhD positions in the Computer Science Department of the University of Wisconsin-Milwaukee (UWM). Students will be hosted by the newly established Vision and Learning Laboratory (VLL).

Our research in the VLL has an interdisciplinary nature and bridges computational neuroscience and artificial intelligence with particular emphasis on vision and learning. We aim to understand mechanisms of bottom-up and top-down human visual attention and eye movements in daily life and translate them into computational models that can be useful for applications such as patient diagnosis, activity recognition, assistive systems, as well as some image/video processing applications. Other areas of interest include scene understanding, scene classification, object recognition, and learning (including active learning, category learning, feature learning, etc.) and the relation between these problems and attention. Techniques that we use include statistical and machine learning tools, neural coding, saliency modeling, eye-tracking, psychophysics, EEG, and fMRI. We also have a close collaboration with the Psychology Department and the Neuroscience Program at UWM. See http://pantherfile.uwm.edu/borji/www/ for a list of publications and samples of our research projects.

Requirements

Required:

- A Master’s degree (or equivalent) in computer science, biomedical engineering, electrical engineering,  psychology, neuroscience, physics, applied mathematics, or related fields.

- Strong interest in machine learning, pattern recognition, psychology, and neuroscience.

- Demonstrable knowledge in programming (Matlab, C/C++, Python, etc.).

- Proficiency in oral and written English.

- Commitment and a cooperative attitude.

Preferred:

- Knowledge of computational neuroscience, machine learning, statistics, image processing, and computer vision.

- Previous experience in visual psychophysics, eye-tracking, neuroimaging, computational modeling, and quantitative data analysis.

Working environment

The University of Wisconsin-Milwaukee is a major urban university, committed to academic excellence, located in the commercial and industrial hub of Wisconsin. The campus is in a pleasant residential neighborhood on Milwaukee’s northeast side, only a few blocks from Lake Michigan. UW-Milwaukee is one of the two 'doctoral cluster' campuses in the 13-campus University of Wisconsin System, with a student enrollment of approximately 25,000.

Milwaukee is a vibrant, affordable city on the shores of Lake Michigan (90 miles from Chicago) with a high quality of life and a thriving urban culture, food, arts & music scene. An award-winning network of parks and biking/hiking trails allow for plentiful outdoor activities during all seasons.

How to apply

Applications should include a curriculum vitae, cover letter, publication list, transcripts, and contact information for at least 2 references. Review of applications will begin as soon as Sept. 30th, 2014 and continue until the positions are filled. To apply, send an email to borji@uwm.edu. Informal inquiries are also welcome.

For more information please see:

http://pantherfile.uwm.edu/borji/www