Monday, December 02, 2019

Faculty positions at the Department of Computer Science, Reykjavik University

This job ad could be of interest to you or to someone you know. Feel free to spread it as you see fit. Thanks!
 
The Department of Computer Science at Reykjavik University invites applications for several full-time faculty positions.

We are looking for energetic, highly qualified academics who are eager to develop their own research programs, strengthen existing research within the department and build bridges with industry. Of particular interest are candidates in the areas of machine learning, data science, computer security and software systems, broadly construed, but exceptionally qualified candidates from all areas of computer science are encouraged to apply.

Candidates should have a proven international research record that is commensurate with the level of the position for which they apply. The successful applicants will play a full part in the teaching and administrative activities of the department; in particular, they will teach courses and supervise students at both graduate and undergraduate level. Applicants having a demonstrated history of excellence in teaching are preferred. A PhD in computer science or a related field is required.

Salary and rank are commensurate with experience. An appointment at assistant-professor level is permanent track, with the expectation that a successful candidate will qualify for promotion to associate professor within six years.

The positions are open until filled, with the earliest available starting date in August 2020. Later starting dates can be negotiated.

The review of the applications will begin on Monday, 17 February 2020, and will continue until the positions are filled.

See http://radningar.hr.is/storf/viewjobonweb.aspx?jobid=3558 for further information on how to apply for the position and on the required documents.

About the department, Reykjavik University and Iceland

The Department of Computer Science at Reykjavik University has about 650 full-time-equivalent students and 22 faculty members. It provides an excellent working environment that encourages and supports independence in academic endeavours, and in which a motivated academic can have impact at all levels. The department offers undergraduate and graduate programs in computer science and software engineering, as well as a combined-degree undergraduate program in discrete mathematics and computer science. The doctoral program within the department received its ministerial accreditation in 2009 and has been active ever since.

The department is home to several research centres producing high-quality collaborative research in areas such as artificial intelligence, financial technology, language technology, software systems, and theoretical computer science, among others; for more information on those research centres, see https://en.ru.is/research/units/.

On the Times Higher Education rankings for 2020, Reykjavík University is ranked in first place along with six other universities for the average number of citations per faculty. Overall, according to that list, RU is ranked among the 300 best universities world-wide, 52nd out of all universities established fewer than 50 years ago, 14th among universities with fewer than 5000 students, and first among Icelandic universities.

Iceland is well known for its breathtaking natural beauty, with volcanoes, geysers, hot springs, lava fields and glaciers offering a dramatic landscape. It is consistently ranked as one of the best places in the world to live. It offers a high quality of life, is one of the safest places in the world, has high gender equality, and strong health-care and social-support systems. It is in fourth position in the 2019 UN World Happiness Report, which ranks the world's countries by their happiness level.

For further information about the Department of Computer Science at Reykjavik University and its activities, see http://en.ru.is/scs/.

Sunday, November 03, 2019

Call for opinions: Length of papes in conference proceedings in TCS

As current chair of the editorial board of LIPIcs, Leibniz International Proceedings in Informatics, I have been looking at some data about the length of the papers published in the series. The average length of the articles published in LIPIcs in 2019 so far is of 15.8 pages, including front matter and bibliography. However, three of the published papers are over 40 pages and three conferences have an average article length above 20 pages (22, 23.9 and 28.4, respectively).

I have seen that some conferences in TCS have no limit on the length of the submitted papers. A colleague whose opinions I hold in high esteem wrote to me saying:
Some people in the "conference name removed" community strongly feel there should be no page limit. My opinion may not be as strong as some, but I believe these people have a point.
Whether we like it or not, most papers in the TOC community only appear in conferences. Many of those conferences have no page limit for submissions, and encourage authors to include all proofs while making sure that the key ideas are presented in the first 10 pages or so. Scientific progress is hindered when authors are then forced to take out parts of their writeups for the conference proceedings in order for their papers to fit within the page limits. One may wish that they'd publish a full version of their paper in a journal subsequently, but most of them won't bother. The net effect is that there is no actual paper with all the details, which is no good.
I share the point made in the last sentence, but I am somewhat bothered by the fact that full versions of papers in TCS are increasingly not being submitted to journals. I am probably very old fashioned, but I feel that it is desirable to see our published results vetted by a journal-strength review process. I still view conferences as means for the rapid dissemination of results and as a meeting point for their community of reference, and I consider journals as the media for final archival publication of mature pieces of research. However, with my LIPIcs EB chair hat on and out of personal interest, I am keen to hear your opinion on whether it is good for the TCS community to publish only in conferences and to publish conference papers without page limits, bearing in mind that, quoting from the FOCS 2019 call for papers:
Although there is no bound on the length of a submission, material other than the title page, references, and the first ten pages will be read at the committee’s discretion.
I'd be grateful if you could post your thoughts on this matter in the comment section. Let's focus on what is best for the dissemination of science, even though long articles are more expensive than those whose average length is around 15 pages.

I look forward to hearing your opinions. Thanks in advance!

Tuesday, October 15, 2019

Facebook Testing and Verification Research Award to two CS@GSSI students

It gives me great pleasure to inform you that the project "Static prediction of test flakiness" submitted by Breno Alexandro Ferreira de Miranda (Federal University of Pernambuco, Brazil), Antonia Bertolino (Istituto di Scienza e Tecnologie dell’Informazione – CNR), Emilio Cruciani (Gran Sasso Science Institute) and Roberto Verdecchia (Gran Sasso Science Institute) has been selected for a Facebook Testing and Verification research award. Congratulations to everyone and to CS@GSSI as a whole!

The winners have been selected from a pool of over 100 proposals and are listed at 


Quoting from that web page: 

“We are excited that, once again, we received over 100 proposals, and of such high quality,” says Mark Harman, Research Scientist and Facebook TAV co-chair. “We are really excited to see this research develop, and to see the deployment of advanced research in industry.

“Despite doubling the funding available this year, there were many excellent proposals that we were sadly unable to fund this round. Such was the quality of the proposals we received,” says Mark. “We are very grateful to the scientific research community for engaging so enthusiastically with this call for proposals.”

The award will be presented at the upcoming Facebook Testing and Verification Symposium.

Tuesday, October 01, 2019

PhD position at TU/e on product line engineering in multidisciplinary cyber-physical systems

The Model Driven Software Engineering section at Eindhoven University of Technology (TU/e) is searching for a candidate for a fully-funded PhD position on product line engineering in the multidisciplinary context of cyber-physical systems to collaborate with the high-tech company ASML in the context of the EU ECSEL project Arrowhead Tools.

See here for the details of the position.

TU/e is a dynamic, research-intensive university in the heart of Europe, and in the Brainport region, a leading European technology region, and a centre for innovation and hi-tech industry. TU/e is consistently ranked within the top-100 positions in several world rankings for its research and quality of education.

Tuesday, September 24, 2019

Two PhD positions at the Department of Computer Science Reykjavik University



My Reykjavik colleagues Anna Sigríður Íslind and María Óskarsdóttir have two PhD positions available at Reykjavik University, Iceland. The position announcements are below. Please contact them for more information. In my biased opinion, they will be excellent PhD supervisors.

-----------------------------------------------------------------------------------------------------

Position 1: PhD position in learning analytics and informatics

Information about the research topic
We are looking for a full-time PhD student to conduct research on learning analytics in the context of learning management platforms. The aim of the PhD position is to study learning behavior in higher education through learning management platforms which are widely used for administration, documentation and reporting of educational courses and learning programs. The behavioral data that is generated while students use the platforms can be analyzed to understand how they interact with the learning content in relation to the learning outcomes and objectives. The PhD candidate will study learning behavior using advanced analytics and machine learning techniques with the goal of discovering patterns in learning as well as to understand and optimize the learning process and the environment in which it occurs, as well as investigate how the architecture of the learning environment enables learning.

Information about the department and the university
You will join us at the Department of Computer Science, Reykjavík University. The department covers a broad range of research topics in Computer Science and is engaged in several national and international research projects, often interdisciplinary in nature.
Reykjavík University is a private university located in Reykjavík, Iceland. The university currently hosts approximately 3500 students, divided into the Departments of Computer Science, Sport Science, Psychology, Business, Law, Applied Engineering, and Engineering. All of Reykjavík University is located in a single building in one of the most beautiful areas of Reykjavík.

Qualification requirements
Candidates should have a strong interest in data science, information systems research as well as learning and teaching. To be eligible for this position, you should have/be about to obtain an MSc degree in Computer Science, Statistics, Information Systems, Informatics, Mathematics, Engineering or related fields. Strong candidates with a background in other relevant topics are very much encouraged to apply as well.

Position summary
Full-time temporary employment (currently paid 365,000 ISK per month before taxes, roughly 3000 USD at current exchange rate). You are expected to finish your PhD within four years' time. The position includes teaching duties of roughly 20%.

Application procedure
Interested applicants should submit their application through the recruitment website radningar.hr.is
The application should include
  • CV 
  • Research proposal stating the possible development of what you would like to do based on the description above (ca. 2 pages)
  • Two letters of reference (e.g., from academic supervisors, former superiors)
  • A 1 to 3-page personal letter where you introduce yourself and present your qualifications/experience/interests
  • Attested copies of education certificates, including grade reports
  • Bachelor and/or Master thesis
  • Research publications, if existent
  • Links to software repositories with relevant projects, if existent

-------------------------------------------------------------------------------------------

Position 2: PhD position in informatics focusing on health platforms

Information about the research topic
We are looking for a full-time PhD student to conduct research on design, development and use of platforms for continuous data gathering for health purposes. The aim of the PhD position is to study the design and development of a health data platform that takes in health data and how the health data can be used for decision-making purposes. The cases more specifically both includes data from extremely healthy individuals (on elite sport level) and on the other hand, from those that are chronically ill. The focus in the beginning will be on data from national teams collected both through measurements during practice, and on continuous data collection through wearable technologies. The PhD student will study the design and development of the multi-sided platform and how the use of the platform effects different stakeholders involved. For instance, the data collected by athletes, can be used by them as well as by trainers and researchers, which has implications both for the design process, as well as for those using the data. In addition, the PhD student will also study a case of chronically ill individuals, where the data is from the same types of technologies, but can be used for a different purpose, to support decision-making processes in healthcare. In these cases the where the stakeholders are patients , that gather data that which can be used by medical staff to support their decision-making process, and by researchers. Furthermore, we will apply machine learning and advanced analytics to discover patterns that can on the one hand help athletes enhance their performance and on the other hand detect warning signs for the chronically ill. In addition, on the topic of learning from data and designing, and developing platforms for health and wellbeing purposes, the PhD student will also work with a case on new ways of screening for breast cancer.

Information about the department and the university
You will join us at the Department of Computer Science, Reykjavík University. The department covers a broad range of research topics in Computer Science and information systems and is engaged in several national and international research projects, often interdisciplinary in nature.
Reykjavík University is a private university located in Reykjavík, Iceland. The university currently hosts approximately 3500 students, divided into the Departments of Computer Science, Sport Science, Psychology, Business, Law, Applied Engineering, and Engineering. All of Reykjavík University is located in a single building in one of the most beautiful areas of Reykjavík. Reykjavík University is a private university located in Reykjavík, Iceland. The university currently hosts approximately 3500 students, divided into the Schools of Computer Science, Business, Law, and Science and Engineering. All of Reykjavík University is located in a single building in one of the most beautiful areas of Reykjavík.

Qualification requirements
Candidates should have a strong interest in data science, information systems research as well as in wellbeing and health related topics. To be eligible for this position, you should have/be about to obtain an MSc degree in Computer Science, Information Systems, Informatics, Engineering or related fields. Strong candidates with a background in other relevant topics are very much encouraged to apply as well.

Position summary
Full-time temporary employment (currently paid 365,000 ISK per month before taxes, roughly 3000 USD at current exchange rate). You are expected to finish your PhD within four years' time. The position includes teaching duties of roughly 20%.

Application procedure
Interested applicants should submit their application through the recruitment website; radningar.hr.is
The application should include:
  • CV 
  • Research proposal stating possible development that extends what you would like to do, based on the description above (ca. 2 pages)
  • Two letters of reference (e.g., from academic supervisors, former bosses/superiors)
  • A 1 to 3-page personal letter where you introduce yourself and present your qualifications/experience/interests
  • Attested copies of education certificates, including grade reports
  • Bachelor and/or Master thesis.
  • Research publications, if existent
  • Links to software repositories with relevant projects, if existent

The deadline for application in November 1st, 2019. We will start reviewing applications as soon as they arrive. We strongly encourage interested applicants to send their applications as soon as possible.

Questions?
If you have any questions, want more details on the position, or just check before sending in your application, please contact us directly!


Anna Sigríður Íslind
Assistant Professor | School Department of Computer Science, Reykjavík University

María Óskarsdóttir 
Assistant Professor | School Department of Computer Science, Reykjavík University

Tuesday, July 02, 2019

PhD position at TU Wirn: Formal methods applied to the specification and monitoring of large-scale, spatially-distributed, stochastic systems

Interesting PhD position at TU Wien with Ezio Bartocci and Laura Nenzi. Spread the news! 

The Institute of Computer Engineering at the Technische Universität Wien (TU Wien) is seeking a candidate for a research assistant position (PhD student, 4 years). The position is available from September (a starting date until Fall 2019 is intended) and the successful candidate will be a PhD student of the LogiCS Doctoral Program and she/he will be supervised by Prof. Ezio Bartocci <http://www.eziobartocci.com/> and co-supervised by Dr. Laura Nenzi <https://lauranenzi.github.io/>
The successful applicant will carry out his/her PhD in the research area of formal methods applied to the specification and monitoring of large-scale, spatially-distributed, stochastic systems.
The position in funded by the ÖAW and the FWF <https://m.fwf.ac.at/en/research-funding/personnel-costs/> for the recently acquired YIRG grant: “High-dimensional statistical learning: new methods to advance economic and sustainability policies”, an interdisciplinary project to be led for the TU part by PhD Laura Nenzi.
TASK DESCRIPTION (leader Laura Nenzi):
Formal methods provide precise formal specification languages that can be easily interpreted by humans and verification algorithms that can check in an automatic way the value of satisfaction of interesting properties. One of the main problems of such techniques is the curse of dimensionality. A possibility to treat the problem is to use approximate methods such as statistical model checking. However, even these methodologies can be unfeasible for very-large-scale stochastic systems. A new research line consists of exploiting machine learning techniques and Bayesian inference to identify relevant data and decrease the computational cost, permitting the application of such powerful formal analysis on very complex systems. An important aspect that will be covered in the study is the spatial configuration of such systems, a key feature in several real case studies that are considering in the project. The methodology will be principally applied to tackle questions related to sustainable urban mobility and thus responsible consumption.
APPLICATION
Please apply your application following the instructions in the DK LogiCS admission portal. https://logic-cs.at/phd/admission/ <https://logic-cs.at/phd/admission/>, by indicating in the application form: Prof. Ezio Bartocci and Dr. Laura Nenzi as supervisors. While it is not necessary to have the Master degree at the moment of the application, it is instead mandatory to complete it before starting the PhD.
CONTACT DETAILS
For further information and inquiries about this post please contact Laura Nenzi, e-mail: laura.nenzi@gmail.com .

Thursday, June 20, 2019

Postdoc position at the GSSI in algorithms for modern networks, formal methods for reactive systems and model-based software engineering


Postdoctoral position financed by the GSSI

Scientific profile: The successful candidate will have a strong research record in one or more of the research areas within the Computer Science group at the GSSI, namely algorithms for modern networks, formal methods for reactive systems and model-based software engineering. We welcome applications in any of those areas.


The position is for two years (renewable for a third year, if this is mutually agreeable) and the salary is 36,000€ per year before taxes.

How to apply: The application must be submitted through the online form available at https://applications.gssi.it/postdoc/ by Thursday, 11 July 2019 at 6 p.m. (Central European Time). For more information, please consult the Call for Applications at https://applications.gssi.it/postdoc/.
Requirements: Candidates are expected to have a PhD degree in Computer Science or related disciplines.

Postdoctoral position at the GSSI within the project “ALGADIMAR: Algorithms, Games, and Digital Markets”

The Computer Science group at the Gran Sasso Science Institute (GSSI, http://cs.gssi.it) --- an international PhD school and centre for advanced studies located in L’Aquila, Italy --- has one available postdoctoral position  in the context of the PRIN projects  “ALGADIMAR: Algorithms, Games, and Digital Markets” (Gianlorenzo D’Angelo, PI at GSSI), funded by the Italian Ministry for University and Research.

The position is briefly described below. It is for two years and the salary is 36,000€ per year before taxes. The position is renewable for a third year, if this is mutually agreeable.

How to apply: The application must be submitted through the online form available at https://applications.gssi.it/postdoc/ by Thursday, 11 July 2019 at 6 p.m. (Central European Time). For more information, please consult the Call for Applications at https://applications.gssi.it/postdoc/ or write an email to Gianlorenzo D’Angelo.

Requirements: Candidates are expected to have a PhD degree in Computer Science or related disciplines. Preference will be given to applicants who have previous research experience on topics related to the theme of the project.

Postdoctoral position within the project “ALGADIMAR: Algorithms, Games, and Digital Markets”, supervised by Gianlorenzo D’Angelo

Brief description of the project: Digital markets form an increasingly important component of the global economy. The Internet has enabled new markets with previously unknown features (e-commerce, web-based advertisement, viral marketing, sharing economy, real-time trading), and algorithms play a central role in many decision processes involved in these markets. For example, algorithms run electronic auctions, adjust prices dynamically, trade stocks, harvest big data to decide market strategies and to provide recommendations to customers. The focus of the proposal ALGADIMAR is on the development of new methods and tools in research areas that are critical to the understanding of digital markets: algorithmic game theory, market and mechanism design, machine learning, algorithmic data analysis, optimization in strategic settings. We plan to apply these methods so as to solve fundamental algorithmic problems motivated by Internet advertisement, sharing economy, mechanism design for social good, security games. While our research is focused on foundational work —with rigorous design and analysis of algorithms, mechanisms and games— it will also include empirical validation on large-scale datasets from real-world applications.

Main activities: The research activity will be on one or more of the following topics: design and analysis of algorithms; algorithms and data structures for big data; approximation algorithms; combinatorial optimization; algorithms for graphs and networks; autonomous agents and mobile computing; distributed algorithms; algorithmic game theory, algorithmic aspects of internet and social networks.