Job ID: 2915
Job date: 2015-03-04
End Date:
Company : Blekinge Institute of Technology Country : Role : Student
Job date: 2015-03-04
End Date:
Company : Blekinge Institute of Technology Country : Role : Student
Job Description:
Associate professor / senior lecturer position in Computer Science
The position is placed at the Department of Computer Science and Engineering in Karlskrona.
Work description
This is a permanent position as senior lecturer in computer science. The holder of the position is expected to perform research and teaching at all educational levels (bachelor, master, and doctoral) in the area of computer science (i.e., lectures as well as practical tasks such as laboratories and projects). Further, the position includes supervision of doctoral students as well as bachelors thesis and masters thesis projects, e.g., in machine learning, data mining, and parallel computing.
The holder of the position will participate in a large research project, Scalable resource-efficient systems for big data analytics, where close research collaboration with industry is key for the project execution. The duties also include performing and publishing research of high international quality as well as applying for external research grants.
International applicants should initially be able to teach in English. Applicants without a good knowledge of Swedish are expected to acquire such knowledge and to teach in Swedish within three years of appointment to the position.
About the research profile
Data will be generated at an ever-increasing rate for the foreseeable future. Added value and cost savings can be obtained by analyzing big data streams. The analysis of large data sets requires scalable and high-performance computer systems. In order to stay competitive and to reduce consumption of energy and other resources, the next generation systems for scalable big data analytics need to be more resource-efficient. The research profile, Scalable resource-efficient systems for big data analytics, combines existing expertise in machine learning, data mining, and computer engineering to create new knowledge in the area of scalable resource-efficient systems for big data analytics. The value of the new knowledge will be demonstrated and evaluated in two application areas (decision support systems and image processing).
The needs and interests of our 11 industrial partners are grouped into industrial challenges. Based on these challenges and in cooperation with our partners we have defined initial sub-projects grouped into four research themes:
Research theme A: Big data analytics for decision support Research theme B: Big data analytics for image processing Research theme C: Core technologies (machine learning) Research theme D: Foundations and enabling technologies
This research profile is in the center of the university's vision to be a globally attractive knowledge community within applied information technology and innovation for sustainable growth. The research group currently includes four full professors, two associate professors, four assistant professors, and a number of Ph.D. students. The mix of competences gives unique possibilities to develop new knowledge in the profile area. The profile includes a well-defined career advancement program and a visiting researcher program.
Commencement:
To be agreed.
Employment:
100%
Contact information:
Contact persons for more information about the position:
Professor Håkan Grahn, phone +46-455-385804, Hakan.Grahn@bth.se or Head of department Professor Lars Lundberg, phone +46-455-385833, Lars.Lundberg@bth.se
Union representatives are Mikael Åsman (SACO), phone +46-455-385720 and Monika Nilsson (TCO), phone +46-455-385440.
Please note that applications sent directly to the contacts above will not be considered.
Application:
The application documents shall comprise five parts:
Cover sheet Account of scientific and educational work CV with annexes List of publications Documents and publications, maximum of 10
To submit your application, please click the APPLY button and enclose all necessary documents in the application e-mail.
Additional Info:
[Click Here to Access the Original Job Post]
Associate professor / senior lecturer position in Computer Science
The position is placed at the Department of Computer Science and Engineering in Karlskrona.
Work description
This is a permanent position as senior lecturer in computer science. The holder of the position is expected to perform research and teaching at all educational levels (bachelor, master, and doctoral) in the area of computer science (i.e., lectures as well as practical tasks such as laboratories and projects). Further, the position includes supervision of doctoral students as well as bachelors thesis and masters thesis projects, e.g., in machine learning, data mining, and parallel computing.
The holder of the position will participate in a large research project, Scalable resource-efficient systems for big data analytics, where close research collaboration with industry is key for the project execution. The duties also include performing and publishing research of high international quality as well as applying for external research grants.
International applicants should initially be able to teach in English. Applicants without a good knowledge of Swedish are expected to acquire such knowledge and to teach in Swedish within three years of appointment to the position.
About the research profile
Data will be generated at an ever-increasing rate for the foreseeable future. Added value and cost savings can be obtained by analyzing big data streams. The analysis of large data sets requires scalable and high-performance computer systems. In order to stay competitive and to reduce consumption of energy and other resources, the next generation systems for scalable big data analytics need to be more resource-efficient. The research profile, Scalable resource-efficient systems for big data analytics, combines existing expertise in machine learning, data mining, and computer engineering to create new knowledge in the area of scalable resource-efficient systems for big data analytics. The value of the new knowledge will be demonstrated and evaluated in two application areas (decision support systems and image processing).
The needs and interests of our 11 industrial partners are grouped into industrial challenges. Based on these challenges and in cooperation with our partners we have defined initial sub-projects grouped into four research themes:
Research theme A: Big data analytics for decision support Research theme B: Big data analytics for image processing Research theme C: Core technologies (machine learning) Research theme D: Foundations and enabling technologies
This research profile is in the center of the university's vision to be a globally attractive knowledge community within applied information technology and innovation for sustainable growth. The research group currently includes four full professors, two associate professors, four assistant professors, and a number of Ph.D. students. The mix of competences gives unique possibilities to develop new knowledge in the profile area. The profile includes a well-defined career advancement program and a visiting researcher program.
Commencement:
To be agreed.
Employment:
100%
Contact information:
Contact persons for more information about the position:
Professor Håkan Grahn, phone +46-455-385804, Hakan.Grahn@bth.se or Head of department Professor Lars Lundberg, phone +46-455-385833, Lars.Lundberg@bth.se
Union representatives are Mikael Åsman (SACO), phone +46-455-385720 and Monika Nilsson (TCO), phone +46-455-385440.
Please note that applications sent directly to the contacts above will not be considered.
Application:
The application documents shall comprise five parts:
Cover sheet Account of scientific and educational work CV with annexes List of publications Documents and publications, maximum of 10
To submit your application, please click the APPLY button and enclose all necessary documents in the application e-mail.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]