Multiple PhD, Post Doc and Job Vacancies Computer Sciences

PhD Positions with Full Scholarships in Data Science @ Dalian Univ. of Tech., China
PhD Positions with Full Scholarships in Data Science @ Dalian Univ. of Tech., China

Apologies for cross-posting.

Deadline for application: 28 Feb 2017.

The Alpha Lab (http://TheAlphaLab.org) at Dalian University of Technology, China conducts interdisciplinary, application-driven academic research in social computing, computational social science, big data, and mobile social networks. The Lab currently has 30+ student members, including over 10 PhD students (from seven countries on this planet!). 

We are opening 3 PhD student positions in research areas like data science, computational social science, data analytics, big scholarly data, social network analysis, etc. All positions will be coupled to full Chinese Government Scholarships. Basic living allowance will be 3,500 RMB/month, plus Comprehensive Medical Insurance and Benefit. The scholarships are exempt from registration fee, tuition, and fee for basic learning materials. Accommodation on campus will be provided for free. The University will offer excellent working conditions.

Supervisor: Professor Feng XIA (http://fengxia.net/)
Working location: Dalian University of Technology @ Dalian, China
Starting date: September 2017 
PhD duration: 4 years

Qualifications
1. Applicants shall have a master’s degree in related discipline.
2. A good command of the English language (in speaking and in writing) is required.
3. Research experience in related areas is a plus.

Application procedure
Before submitting the full application (to the University), each potential applicant should first send an initial application via email to Dr. Feng Xia (f.xia@ieee.org). The application should include a detailed CV (including email addresses of two referees, detailed contact information, etc), and at least two best scientific documents/publications written by yourself (in English). The deadline for applications is 28 Feb 2017. A few candidates will be shortlisted for full application. Interested applicants are highly encouraged to submit their applications as soon as possible. We will not accept applications once the positions are fulfilled. 

For further information regarding these positions, please contact Dr. Feng Xia (f.xia@ieee.org).

— 
Feng XIA, PhD, Professor
ACM/IEEE/CCF Senior Member, AAAS Member
Director, The Alpha Lab  (http://TheAlphaLab.org)
Head, Department of Cyber Engineering
Assistant Dean, School of Software
Dalian University of Technology
Development Zone, Dalian 116620, China
Email: f.xia@ieee.orgf.xia@acm.org
URL: http://FengXia.NET
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Two Lecturer Positions in Data Science, Macquarie University

**Lecturer (equivalent to Assistant Professor), continuing (2 positions)
**Department of Computing, Macquarie University, Sydney, Australia
**5-Star University
**Salary package: From $99,879 to $118,174 (level B) p.a., plus 17% employer’s superannuation and annual leave loading
  
Macquarie is the university of pioneering minds. Globally recognised as one of Australia’s leading research universities, Macquarie is a place where extraordinary new possibilities come to light. We’ve helped people to hear, introduced wireless internet technology to the world and broken through traditional boundaries by appointing Australia’s first female vice-chancellor.

At Macquarie you’ll join a vibrant community of diverse perspectives, all working towards a brighter future for our communities and our planet. Surrounded by beautiful parkland campus, our students and staff are free to explore and discover, supported by facilities including a high-tech library, private teaching hospital, gym and pools, childcare facilities, a campus train station and the newly expanded Macquarie Centre shopping complex next door. 

In Macquarie’s Faculty of Science and Engineering you’ll join passionate researchers and educators blazing new trails in the spirit of discovery and exploration. Encouraged to think boldly, and supported by some of Australia’s most outstanding facilities, brilliant minds converge in our faculty to create incredible new possibilities: the world’s first attempt to synthesize complex life, the creation of Wi-Fi, the discovery of dancing dwarf galaxies, and the development of blue LED light. Inspired by challenge and opportunity, we look forward to welcoming you as we imagine a new future together.

Join us and start seeing the world in a different light. 

**About the Department and Role 
The Department of Computing is the home of close to 30 academic staff and more than 60 research students, and an ever-growing cohort of undergraduates and postgraduate coursework students. The department offers a broad range of cutting edge undergraduate and postgraduate courses and enjoys a strong research ethos.

We are inviting top early career academics to apply for two continuing positions at the Lecturer level. The two positions will be based in the Department of Computing, Faculty of Science and Engineering. Successful candidates will contribute to the research and teaching in Data Science at Macquarie University and align with the Department’s existing and emerging research areas of strength: machine learning, natural language processing, Internet of Things, service computing, network and security, Web technologies, virtual reality and simulation, distributed computing, and theoretical computer science. The appointees will also contribute to administrative and other academic activities within the Department of Computing.

**Selection Criteria
To be considered for this position applications must respond to the selection criteria below and attach as a separate document in the application.

* A PhD in Computing or a closely related discipline.
* A strong record of ongoing research and scholarly publishing.
* Demonstrated academic/professional experience in the research focus of data science or closely related discipline (e.g., machine learning).
* Teaching experience demonstrating both commitment and success or a demonstrated capacity to develop the skills that enable effective and inspirational participation in teaching.
* Proven ability to successfully attract and supervise research students.
* Demonstrated ability to attract research grants and/or industry support.
* High level of oral and written communication skills in English.
* Proven ability to interact effectively with students, staff, industry and the community.

**Salary Package: From $99,879 to $118,174 (level B) p.a., plus 17% employer’s superannuation and annual leave loading.

Appointment Type: Full-time, continuing (x2 vacancy)

Role Specific Enquiries: Prof. Michael Sheng on michael.sheng@mq.edu.au or +61 2 9850 9514

Applications Close:  Friday 31 March 2017 at 11.55pm AEST

To apply, please go to:
http://jobs.mq.edu.au/cw/en/job/500410/lecturer

Macquarie University is an EO Employer committed to diversity and social inclusion. Applications are encouraged from people with a disability; women (particularly for senior and non-traditional roles); Indigenous Australians, people who identify as GLBTI; and those from culturally and linguistically diverse backgrounds.

Applications need to be submitted through the Macquarie University online recruitment system. Where circumstances such as disability or remote location prohibit your access to our online system please contact the enquiries person listed in this advertisement for assistance. 
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Data Scientist at Drexel University
 Data Scientist at Drexel University Center for Visual and Decision Informatics (CVDI)

The Center for Visual and Decision Informatics (CVDI) is a multi-university industry research center established 
as an Industry/University Cooperative Research Center (I/UCRC) under the National Science Foundation (NSF). 
We are currently looking for a Data Scientist to market and recruit industry partners, provide technical 
leadership, manage day-to-day operations at the Drexel site, and communications and outreach. 

Qualification
* PhD in computer science, or statistics or a Masters in the same with a minimum of 4 years’ postgraduate
experience, with a focus on data mining, data visualization, machine learning. 

* Demonstrated expertise in developing and using data mining, machine learning and predictive modeling methods. 
Experience in hands-on processing, representation, and transformation of information datasets using commercial 
tools and/or domain-specific tools. 

* Demonstrated ability to work in multi-disciplinary teams, displaying excellent interpersonal skills. 

* Strong organizational and communication skills (both written and oral), with the ability to liaise with
scientists and external collaborators at all levels, especially with industry partners. 

* Works effectively with peers, management, operations groups, and outside organizations.  


Job duty
1. Marketing and Recruiting Industry Partners. Candidate will assist the CVDI director to manage and grow the 
Drexel CVDI site, develop plan to maintain existing CVDI members, recruit new members, engage and communicate 
with other CVDI sites and industry members, 

2. Technical Leadership. As part of the core big data group/CVDI leadership team at Drexel, the candidate will 
develop innovative, reusable, and scalable solutions and have a part in identifying applications across the 
industry sections, Develop analytics solutions aligned with business focus and priorities, by leveraging 
standard tools and domain experts. Candidate will generate innovative ideas, establish new research directions,
and define and execute on technical projects. Specifically, candidate will develop, propose and lead CVDI 
projects as a PI for Drexel. Candidate will work effectively with cross-functional teams and technical 
leads to determine, define, and deploy analytics solutions to meet business goals. Evaluate business objectives, 
determine stakeholder needs, and identify requirements. Choose best fit methods, define algorithms, validate, 
and deploy models to achieve business results. Perform necessary data preparation and enhancements to models 

3. Business Growth. Candidate will have the opportunity to contribute to advanced analytics projects across 
business units including healthcare; digital publication; medicine; e-business and security; supply chain & 
operations; engineering, test, and technology; information technology. Example project areas include social 
media in big data, anomaly detection, computer animation, and data visualization. 


If interested, pls submit the application through 
www.drexeljobs.com/applicants/Central?quickFind=81905
or
https://goo.gl/cOMUs5


at the same time, pls email your CV and cover letter to  xh29@drexel.edu
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Data scientist position in high-performance/cloud computing
Data scientist position in high-performance/cloud computing

Job Description

An NIH-funded data scientist position is available in the group of Prof. Gaurav Pandey (http://research.mssm.edu/gpandey/) at the Icahn School of Medicine at Mount Sinai in New York City. The target project for this position is the design and implementation of novel machine learning algorithms to extract enhanced predictions and actionable knowledge from crowdsourcing operations. These algorithms will be applied to DREAM challenges (http://dreamchallenges.org) with the goal of improving the community’s ability to address difficult biomedical problems. The responsibilities of the position include preparing robust implementation of these algorithms in a big data environment, especially large clusters and Hadoop-based system. These implementations will also be incorporated into the Synapse platform (https://www.synapse.org) for real-time deployment in live DREAM challenges. This work will be conducted in close collaboration with IBM Research and Sage Bionetworks.

Our group focuses broadly on developing and applying machine learning methods to build network and predictive models of biological processes from large biomedical data sets. It is a part of the recently formed Icahn Institute of Genomics and Multiscale Biology (http://multiscale.mssm.edu) at the Icahn School of Medicine at Mt Sinai. The Institute aims to revolutionize the field of genomic medicine by bringing to the table skills from very unorthodox disciplines (for biology), such as computer science, statistics, physics and high-performance computing. The faculty members of the institute, experts in all these areas, analyze large biomedical data sets to build accurate models of biological processes and complex diseases, such as cancer, type-2 diabetes and Alzheimer’s disease. Being positioned within a prominent medical center such as Mount Sinai makes it feasible to bring the predictions and therapeutic discoveries from these models to the patients’ bedside, thus placing th!
e institute in a very unique position.

The selected candidate will be able to contribute to the ongoing projects in the group and the Institute, as well as define his/her own projects.

To Apply

Candidates should have a masters or PhD-level degree in any computationally-oriented field and should have a solid background in programming and computational techniques. He/she should have strong interest in participating in research in big data and computational biology. To apply, send a CV, an experience statement and three reference letters to gaurav.pandey@mssm.edu
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Fully Funded PhD Scholarships Available
Fully funded PhD scholarships available in the area of Software Intensive Systems and Services at the School of Computer Science, University of Adelaide Australia.

CREST – The Centre for Research on Engineering Software Technologies (http://crest-centre.net) at the School of Computer Science University of Adelaide has PhD positions in the broad area of Secure and Safe Software Intensive Systems and Services with/for Internet of Things (IoT), Big Data, Cloud Computing, and Mobile Computing. 

More details about the available research topics and the current projects can be found from CREST website: http://crest-centre.net

The potential applicants are expected to have a Masters degree or a bachelor (honour) degree, an excellent academic record, very good skills in programming (any language), very good skills in applied Mathematics/Statistics (preferably Machine learning and Data mining software tools),research experience in one or more abovementioned areas, and very good communication skills in English (TOEFL or IELTS). 

The potential applicants are encouraged to send their CV and scanned copies of their academic transcripts (and preferably a research proposal) to Professor M. Ali Babar via email (ali.babar@adelaide.edu.au).
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Job: (+) Junior Research Position (PhD candidate) and (+) Post-Doctoral Researcher in Visual Analytics
Job: (+) Junior Research Position (PhD candidate) and (+) Post-Doctoral Researcher in Visual Analytics/Information Visualization, TU Wien [DL: March 3, 2017]

Vienna University of Technology (TU Wien): 
Centre for Visual Analytics Science and Technology (CVAST) 
=======================================================


We are seeking for a highly motivated PhD candidate and Post-doctoral scientist in the field of Visual Analytics, Information Visualization, visual Data Mining and Interaction Design in Centre for Visual Analytics Science and Technology (CVAST)[3], which is established at the Institute of Software Technology and Interactive Systems [2], Vienna University of Technology (TU Wien) [1], Vienna, Austria.


RESPONSIBILITIES

The successful applicant will

    – perform interdisciplinary research and develop concepts in the field of Visual Analytics, Information Visualization, visual Data Mining and Interaction Design together with leading experts from the Music and Arts University of The City of Vienna (MUK) within the research project “Interactive Music Mapping Vienna: Exploring a City, 1945 up to the present day“ [1]
    – design new techniques and implement interactive prototypes
    – write scientific publications
    – review scientific publications
    – participate in applied scientific and consulting projects
    – participate in writing research proposals
    – work within a creative, highly motivated, and international team
    – (to a smaller extent) participate in teaching and supervision of student projects and theses 



REQUIRED QUALIFICATIONS/SKILLS

– University degree in Computer Science, Business Informatics/Information Systems, or an equivalent university-level degree that qualifies to enroll as a Ph.D. student
– Strong analytical skills and good skills in programming (preferably  R, Phython, C++, Java, JavaScript, or similar)
– Knowledge or interest in one or more of the following: Visual Analytics, Information Visualization, Human-Computer Interaction, Data Mining, Data Quality and Uncertainty
– Abilities to work as an independent and flexible researcher in interdisciplinary teams
– Good knowledge of German and English in speaking and writing



DESIRED QUALIFICATIONS/SKILLS

Knowledge or interest in one or more of the following:
– Visual Analytics applied to relational, geospatial, temporal, and nominal textual data, (dynamic) network analysis and visualization, visualization of relationship graphs and clusters of actors, events, and other observations, temporal uncertainty, data quality, interaction and navigation techniques as well as multiple coordinated views    
– (for international applicants) Basic proficiency in German



DATES & DETAILS  

    – Application deadline: as soon as possible, but not later than March 3, 2017
    – Start date: as early as possible  (negotiable)
    – Duration: 3 years (extendable)
    – Working Hours: 
          (+) Junior Research Position (30 hours/week extendable) and 
          (+) Post-Doctoral Researcher (20 hours/week extendable)
    – Salary: following the guidelines of the collective agreement (KV) of the TU Wien. Currently, starting with a gross salary of 2.731,00 per month (38.234,00 per year). for more information (in German): http://www.tuwien.ac.at/fileadmin/t/pers1/downloads/Personalkostensaetze_2017.pdf



APPLICATION AND CONTACT

If you have any questions, please contact Univ.-Prof. Silvia Miksch: miksch@ifs.tuwien.ac.at

Univ.-Prof. SILVIA MIKSCH, Ph.D
Vienna University of Technology
Faculty of Informatics Institute of Software Technology and Interactive Systems (ISIS) 
Head of Centre for Visual Analytics Science and Technology (CVAST) 
Favoritenstrasse 9-11 / 188                  
A-1040 Vienna, Austria, Europe          
email: miksch@ifs.tuwien.ac.at
url: www.ifs.tuwien.ac.at/~silvia            
phone: +43-1-58801-18824              
phone-sec: +43-1-58801-18801              
fax: +43-1-58801-18899


Please send your application (with the usual documents including a statement of interest (motivation letter), full CV, list of subjects taken at university plus grades, publications, etc.) by email with the subject “CVAST Junior Research Position” or “CVAST Post-Doctoral Researcher” to Theresia Gschwandtner (gschwandtner@cvast.tuwien.ac.at).


The Vienna University of Technology (TU Wien) aims for enhancing the number of women in scientific positions and, therefore, particularly invites women to apply. We encourage sending your application in electronic form. Applicants are not entitled to claim reimbursement of traveling expenses and/or other costs caused by the application procedures.

MORE INFO

[1] Vienna University of Technology: http://www.tuwien.ac.at/

[2] Institute for Software Technology and Interactive Systems (ISIS): http://www.isis.tuwien.ac.at/

[3]  CVAST (Centre for Visual Analytics Science and Technology): http://www.cvast.tuwien.ac.at/

[4] Information Visualization: http://www.infovis-wiki.net/index.php?title=Information_Visualization

[5] “Interactive Music Mapping Vienna: Exploring a City, 1945 up to the present day“
http://www.cvast.tuwien.ac.at/IMMV

The project’s focus is the valorisation and the mediation of the capabilities of music as an urban identification tool. The interaction between music and urban texture (identity, political symbolism, mental determination, imagination) should be made accessible to academic and to a wide audience through interactive Visual Analytic Technologies.
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Do you want to do a PhD on mining customer behavior in a unique collaboration between BrandLoyalty a
Do you want to do a PhD on mining customer behavior?

Unique collaboration between BrandLoyalty and TU/e

Apply via http://jobs.tue.nl/en/vacancy/phd-position-on-process-mining-in-customer-behavior-298469.html (deadline Feb. 28th)

Consumers can shop for anything, anywhere, anytime and with anyone. Therefore, retailers need to compete on analytics and must analyze customer data carefully. BrandLoyalty is the global leader in providing innovative, incentive-driven loyalty programs designed to drive immediate improvements in retail performance. BrandLoyalty is working together with JADS (Jheronimus Academy of Data Science) to improve its analytical capabilities. As part of a joint research program we are looking for a PhD student interested in the project “Mining Customer Behavior to Increase the Effectiveness of Loyalty Programs and Promotions (MiCuB)”. The goal of this project is to apply existing process mining techniques to BrandLoyalty’s data and develop new techniques tailored to the analysis of customer behavior.

The PhD working on Process Mining in Customer Behavior will be employed by the AIS research group (http://www.win.tue.nl/ais/) which is part of the Data Science Centre Eindhoven (DSC/e, http://www.tue.nl/dsce/). DSC/e and Tilburg University collaborate in the context of JADS (Jheronimus Academy of Data Science). Together with BrandLoyalty (http://www.brandloyalty-int.com/) a joint research program has been created. Within this research program are three PhD positions, all sponsored by BrandLoyalty, that work towards better analytical capabilities taking advantage of the wealth of (typically anonymized) customer data. To improve customer engagement, process mining is used to get a deep understanding of actual customer behavior. In fact, understanding of customer behavior has never been easier than now. With the rise of mobile, social, and big data technologies, customers are always-connected and can find information in seconds. This enables one to gain much more detailed and !
direct information on customer behavior.

The “Mining Customer Behavior to Increase the Effectiveness of Loyalty Programs and Promotions (MiCuB)” PhD position will focus on process mining, i.e., the analysis of timestamped customer data.

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