Doctoral Student In Data Mining, Caisr+

Högskolan i Halmstad / Högskolejobb / Halmstad
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Background

Recent growth in the research activities and the well-established educational programs at the School of Information Technology (ITE) at Halmstad University is enabling a significant expansion.

In 2018, the total research expenditures where over 70MSEK and the number of students exceeded 850.

Description

The selected Ph.D. student will carry out research on learning representations that can be used to describe the use of a machine, and from that better understand how customers use the companies' equipment. A second part of the research focuses on analyzing survivability for machines, based on large databases with logged vehicle data, as well as on expanding our work with the COSMO approach, where on-board agents explore relationships among signals, and report interesting deviations to the back-office.

The research will be performed within the CAISR+ profile, and the overall objective is to explore recent machine learning ideas, especially deep neural networks, in the field of predictive maintenance. The work will be done in collaboration with major vehicle OEMs (Volvo Group and Toyota Material Handling Europe). Therefore, the candidate will for example be spending time both at Halmstad University and at Volvo premises in Gothenburg. The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time. Applicant will be part of an international research group and an English-speaking environment.

This is a full-time position available from January 2020 (or as soon as possible afterwards) for a period of four years (extended one year at a time, subject to satisfactory progress of the Ph.D. study). Enough resources to fund experiments and conference travels are available.

Qualifications

The ideal candidate has a Master's degree in computer science, machine learning, data science, robotics, mathematics, physics, or a related engineering discipline. A strong background in machine learning, or data mining is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required.

Students expecting to finalize their degree during the autumn 2019 are also welcome to apply. Only persons who are being admitted, or already have been admitted, to doctoral studies at an institution of higher education may be appointed doctoral students. (The Higher Education Ordinance Chapter 5, § 3). The student's ability to benefit from doctoral studies will be taken into account when we make the appointment. (The Higher Education Ordinance Chapter 5, § 5).

Salary

Doctoral students are employees of the University and paid a salary according to a uniform salary scale, adjusted in relation to the progress in education.

The position includes studies up to a doctoral degree and is annually extended in accordance with the Higher Education Ordinance Chapter 5, §7. The total employment period is four years but may be extended to a maximum of five years if the student performs 20% teaching or other tasks within the university.

Application

Applications should be sent via Halmstad University's recruitment system Varbi (see link on this page).

1. a cover letter stating the purpose of the application and a brief statement of why you believe that your background and goals are well-matched with the goals of this position,

2. a Curriculum Vitae that includes at least

a. a list of previous degrees, dates, and institution, transcripts for higher-education studies until most recent available

3. copies of previous transcripts and degrees,

4. summary (1-2 pages) of the master's thesis

5. a copy of previous publications and software samples, if any, and

6. contact information for three reference persons.

List of qualifications and other documents that the applicant wishes to refer to should be enclosed with the application. All copies must be attested.

General Information

We value the qualities that gender balance and diversity bring to our organization. We therefore welcome applicants with different backgrounds, gender, functionality and, not least, life experience.
The working language at Halmstad University is English and knowledge of the Swedish language not required to start working. Also for daily life, English is spoken widely and Sweden has the highest English Proficiency index in the world. Learning to speak Swedish will make it easier to interact with public and private services, to follow local and national issues, to participate in teaching junior students, and to participate in administrative and leadership roles. National Swedish language courses (SFI) are
available on campus. Read more about Halmstad University at http://hh.se/english/discover/discoverhalmstaduniversity.9285.html

Varaktighet, arbetstid
100%. Tillträde: 2020-01-01 or as soon as possible Visstidsanställning

Publiceringsdatum
2019-11-05

Ersättning
Monthly salary

Så ansöker du
Sista dag att ansöka är 2019-11-25
Klicka på denna länk för att göra din ansökan

Företag
Högskolan i Halmstad

Arbetsgivarens referens
Arbetsgivarens referens för detta jobb är "2019/141".

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Högskolan i Halmstad (org.nr 202100-3203)

Arbetsplats
Halmstad University, School of Information Technology

Jobbnummer
4940593

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