OpenPositions - Revision history

Slawek at 21:34, 20 December 2017

2017-12-20T21:34:54Z

Slawek at 21:34, 20 December 2017

2017-12-20T21:34:03Z

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Slawek at 13:42, 10 November 2017

2017-11-10T13:42:58Z

Slawek at 14:12, 24 October 2017

2017-10-24T14:12:22Z

Slawek at 14:33, 10 October 2017

2017-10-10T14:33:45Z

Slawek at 14:19, 10 October 2017

2017-10-10T14:19:35Z

Slawek at 20:12, 27 September 2017

2017-09-27T20:12:34Z

Slawek at 20:03, 27 September 2017

2017-09-27T20:03:37Z

Slawek at 20:02, 27 September 2017

2017-09-27T20:02:15Z

Slawek at 14:42, 6 November 2016

2016-11-06T14:42:21Z

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 ==== Research focus ====
-This *two years full-time employment* at the School of Information Technology, *with a starting date as soon as possible*, is linked to the Department of Intelligent Systems and Digital Design, a dynamic research environment with focus on aware intelligent systems. The subject expertise in the group is machine learning, data mining, signal analysis, mechatronics and digital service innovation. Mining of sensor data streams and medical records, big data analytics, self-monitoring, and deviation detection are examples of areas of particular interest for us. We have a very good track record of doing research in close collaboration with the Swedish industry and public sector. The department has about 30 MSEK annual research budget, with 13-16 PhD students and about 30 researchers with PhDs. The department hosts the Centre for Applied Intelligent Systems Research (CAISR). The latest annual report for CAISR is available at www.hh.se/caisr.
+This '''two years full-time employment''' at the School of Information Technology, '''with a starting date as soon as possible''', is linked to the Department of Intelligent Systems and Digital Design, a dynamic research environment with focus on aware intelligent systems. The subject expertise in the group is machine learning, data mining, signal analysis, mechatronics and digital service innovation. Mining of sensor data streams and medical records, big data analytics, self-monitoring, and deviation detection are examples of areas of particular interest for us. We have a very good track record of doing research in close collaboration with the Swedish industry and public sector. The department has about 30 MSEK annual research budget, with 13-16 PhD students and about 30 researchers with PhDs. The department hosts the Centre for Applied Intelligent Systems Research (CAISR). The latest annual report for CAISR is available at www.hh.se/caisr.
 The PostDoc position is primarily funded by two research projects: 1) iMedA (Improving MEDication Adherence through Person Centered Care and Adaptive Interventions), collaboration between Halmstad University, Hallands Hospital and CGI; and 2) BIDAF (Big Data Analytics Framework for a Smart Society), a distributed research environment of Halmstad University, SICS Swedish ICT and Högskolan i Skövde.

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 Currently, CAISR has have three open positions in Data Mining:
-* One [[#Postdoctoral researcher in information technology, focus on data mining]], application deadline: 2017-10-31
+* One [[#Postdoctoral researcher in information technology, focus on data mining]], application deadline: 2017-11-30
 * Two [[#Assistant professor in Information Technology, with focus on Data Mining]], application deadline: 2017-10-31
 == Postdoctoral researcher in information technology, focus on data mining ==
-Application deadline: 2017-10-31
+Application deadline: 2017-11-30
 ==== Research focus ====

@@ Line 1: / Line 1: @@
 Currently, CAISR has have three open positions in Data Mining:
-* One [[#Postdoctoral researcher in information technology, focus on data mining]], application deadline: 2017-10-22
+* One [[#Postdoctoral researcher in information technology, focus on data mining]], application deadline: 2017-10-31
 * Two [[#Assistant professor in Information Technology, with focus on Data Mining]], application deadline: 2017-10-31
 == Postdoctoral researcher in information technology, focus on data mining ==
-Application deadline: 2017-10-22
+Application deadline: 2017-10-31
 ==== Research focus ====
@@ Line 34: / Line 34: @@
 ==== Application  ====
-Applications should be sent via Halmstad University's recruitment system MyNetwork (see link on this page). The last day to apply for the position is 2017-10-22.
+Applications should be sent via Halmstad University's recruitment system MyNetwork (see link on this page). The last day to apply for the position is 2017-10-31.
 The application package shall consist of:
@@ Line 88: / Line 88: @@
 ==== Application  ====
-Applications should be sent via Halmstad University's recruitment system MyNetwork (see link on this page). The last day to apply for the position is 2017-10-22.
+Applications should be sent via Halmstad University's recruitment system MyNetwork (see link on this page). The last day to apply for the position is 2017-10-31.
 The application package shall consist of:

← Older revision		Revision as of 14:33, 10 October 2017
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−	Currently, we have three open positions:	+	Currently, CAISR has have three open positions in Data Mining:

	* One [[#Postdoctoral researcher in information technology, focus on data mining]], application deadline: 2017-10-22		* One [[#Postdoctoral researcher in information technology, focus on data mining]], application deadline: 2017-10-22

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 == Postdoctoral researcher in information technology, focus on data mining ==
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 Halmstad is a popular summer destination located on the Swedish west coast. It is situated halfway between two cosmopolitan areas: the Copenhagen-Malmö-Lund area and the Gothenburg area, making it a well-connected, yet a pleasantly calm place to live. Halmstad can be reached by a direct train connection from the Copenhagen Kastrup Airport, as well as other local airports (e.g., Gothenburg Landvetter Airport, Halmstad, and Helsingborg/Ängelholm airports).
 ----
-[https://hh.mynetworkglobal.com/se/what:job/jobID:170155/iframeEmbedded:0/where:4 Apply here]
+For more information on any of the positions, contact [[Antanas Verikas]] or [[Slawomir Nowaczyk]]

← Older revision		Revision as of 20:03, 27 September 2017
Line 55:		Line 55:

	[https://hh.mynetworkglobal.com/se/what:job/jobID:170155/iframeEmbedded:0/where:4 Apply here]		[https://hh.mynetworkglobal.com/se/what:job/jobID:170155/iframeEmbedded:0/where:4 Apply here]
		+
		+	For more information, contact [[Antanas Verikas]] or [[Slawomir Nowaczyk]]

@@ Line 1: / Line 1: @@
-== Two postdoctoral researchers in the area of Information Technology, specialization Data Mining ==
+== Postdoctoral researcher in information technology, focus on data mining ==
-Both positions are for 2 years, with application deadline on 30th of November 2016 and starting date being as soon as possible.
+==== Research focus ====
-The first position is funded by two projects, BIDAF Big Data Analytics Framework for a Smart Society (a distributed research environment of Halmstad University, SICS Swedish ICT, Högskolan i Skövde) and ARISE (collaboration between Halmstad University and Volvo Technology).<br>
+This two years full-time employment at the School of Information Technology, with a starting date as soon as possible, is linked to the Department of Intelligent Systems and Digital Design, a dynamic research environment with focus on aware intelligent systems. The subject expertise in the group is machine learning, data mining, signal analysis, mechatronics and digital service innovation. Mining of sensor data streams and medical records, big data analytics, self-monitoring, and deviation detection are examples of areas of particular interest for us. We have a very good track record of doing research in close collaboration with the Swedish industry and public sector. The department has about 30 MSEK annual research budget, with 13-16 PhD students and about 30 researchers with PhDs. The department hosts the Centre for Applied Intelligent Systems Research (CAISR). The latest annual report for CAISR is available at www.hh.se/caisr.
-The second position is primarily funded by KK-Foundation project SeMI (Self-Monitoring for Innovation: Meta‑framework for group-based self-monitoring), which is a “Synergy” project coordinated by Halmstad University with Alfa Laval, EasyServ, HEM, HMS, Sydpumpen and Öresundskraft as industrial partners.<br>
+The PostDoc position is primarily funded by two research projects: 1) BIDAF (Big Data Analytics Framework for a Smart Society), a distributed research environment of Halmstad University, SICS Swedish ICT and Högskolan i Skövde; 2) HEALTH (Hazard Estimation and Analysis of Lifelong Truck Histories), collaboration between Halmstad University and Volvo Trucks Aftermarket.
 The BIDAF project aims to significantly further the research within massive data analysis, by means of statistical machine learning, in response to the increasing demand of retrieving value from data in all of society. Our research focuses on scalable algorithms that can leverage the distributed framework for efficient mining of knowledge from transient data streams. In particular, we aim to move from algorithms designed to exploit limited amounts of data for as much knowledge as possible towards algorithms designed to process large amounts of data efficiently, build models that are constrained in size, and provide end users with easy to understand and traceable results.
-The ARISE project aims to develop algorithms for early detection and analysis of vehicle quality issues, integrating multiple available data sources. New telematics solutions allow monitoring trucks in operation, combining on-board data with existing in-office knowledge such as warranty claims, technical reports and expert knowledge. We will provide quality analysts with data mining and machine learning methods capable of extracting patterns and finding trends in these diverse data sources.
+Research in predictive maintenance is usually based on analysing the current state of the equipment. However, to reveal the patterns behind the failures in a system as complex as a modern truck, a more complete picture is needed. The HEALTH project aims to create a sequence model capturing the complete, lifelong history of a truck, and use it to explain relations between different failure events and to better estimate the failure likelihood of different components.
-The main way of extracting value from data is to capture the interesting aspects of it using a suitable model. The model is then used for detecting anomalies and trends, analysing key values, or making predictions. In the big data setting, however, one can create not one, but many useful models, focusing on different aspects of the data. We will develop new algorithms for building such sets of models and for ensuring sufficient diversity among them, as well as ways to combine them in flexible ways, for example into hierarchical structures of concepts and sub-concepts, or along time axis to distinguish permanent and time-limited patterns.
+The unprecedented amount of data accessible today allows machine learning to focus on more descriptive and explanatory analysis. Users no longer pose well-formulated, concrete questions, but instead require the system to be capable of highlighting interesting aspects such as deviations, anomalies, relations and co-occurrences. It is almost effortless to generate data, while the cost of analysing it does not change. We will support continuous learning model, where the training and usage is not easily separated, and the system improves its performance all the time, taking advantage of new data as it arrives. An important aspect of the position is to find connections to other projects within CAISR and on identifying common problems and finding solutions applicable across multiple domains.
 ==== Principal duties ====
-The post as postdoctoral researcher is a qualifying appointment with the purpose to give the employee a possibility to develop its independence as researcher and to obtain merits that can lead to a competence for another post with higher eligibility requirements. As a postdoctoral researcher you are expected to be active in the research done within the research environments CAISR and EIS. The teaching load will be at most 20% of the time working hours. Furthermore, we expect you to take an active part in the continued development of the research environment and that you will take part in applying for research funding from various financiers, both in Sweden and abroad.
+The selected candidate will become part of the very dynamic and international research environment at the Center for Applied Intelligent Systems Research (CAISR), at the School of Information Technology. For more information please see: http://caisr.hh.se/ The post as postdoctoral researcher is a qualifying appointment with the purpose to give the employee a possibility to develop its independence as researcher and to obtain merits that can lead to a competence for another post with higher eligibility requirements. As a postdoctoral researcher you are expected to be active in the research done within the research environment CAISR. The teaching load will be at most 20% of the time working hours. Furthermore, we expect you to take an active part in the continued development of the research environment and that you will take part in applying for research funding from various financiers, both in Sweden and abroad.
 ==== Qualification ====
-The position is intended for someone with a recent PhD degree in Information Technology, Computer Science, Computer Engineering, or closely related fields. The research track record should demonstrate excellence in research areas such as machine learning, data mining, and signal processing. Strength in computer programming and/or applied mathematics is very welcome.
 ==== Salary ====
 Salary is to be settled by negotiation. The application should include a statement of the salary level required by the candidate.
-==== Application ====
+==== Application  ====
-Applications should be sent via Halmstad University's recruitment system MyNetwork. The last day to apply for the position is 2016-11-30. If you are interested in both positions, make sure you submit two applications (they can be the same).
 The application package shall consist of:
-* a cover letter stating the purpose of the application and a brief statement of why you believe that your goals are well-matched with the goals of this position, together with a description of future research plans
+) a cover letter stating the purpose of the application and a brief statement of why you believe that your goals are well-matched with the goals of this position, together with a description of future research plans
-* an attested CV that includes at least
-** a list of previous degrees, dates, and institution, transcripts for higher-education studies until most recent available
+) a CV that includes at least
-** a complete list of publications and a description of previous research and other work experience and links to online copies of the most important publications
-* contact information for at least three references.
+- a list of previous degrees, with dates and institutions
-[https://hh.mynetworkglobal.com/en/what:job/jobID:114712/where:4 Apply here for the first position]
+----
-[https://hh.mynetworkglobal.com/en/what:job/jobID:120805/where:4 Apply here for the second position]
+[https://hh.mynetworkglobal.com/se/what:job/jobID:170155/iframeEmbedded:0/where:4 Apply here]