Tag-arkiv: University of Oulu

Postdoc or PhD student position in Disease Ecology

The University of Oulu is an international scientific community, with 14 000 students and approximately 3 000 employees. The strengths of the University are wide multidisciplinary study/research interests and modern research and study environment and good cooperation with international educational and research institutes.

The following job is are open in the University of Oulu:

Postdoc or PhD student position in Disease Ecology

We are seeking a highly motivated postdoctoral researcher or a PhD student in the Academy of Finland funded project “Drivers of zoonotic tick-borne pathogens in natural populations”. The focus of the project is on interactions between the tick-borne pathogen Borrelia afzelii and its tick vector and the main rodent reservoir and other mammalian hosts. The project exploits existing datasets and also carries out field studies to acquire novel data. The postdoc/PhD student can focus either on field studies or modelling using existing data or a combination of both, depending on the candidate’s skills and preferences. The project is a collaboration with the Principal Investigator Eva Kallio (University of Oulu), Andy Fenton (University of Liverpool), Otso Huitu (Natural Resources Institute Finland), Tapio Mappes (University of Jyväskylä).

The postdoc position is available from 1st September 2018 for 2 years with a possibility for an extension. The postdoc candidate will hold a PhD in ecology, disease ecology, epidemiology or related fields.

The PhD student position is available for 4 years, starting by 1st September 2018. The PhD student will have a Master’s degree in ecology, evolutionary biology, parasitology or related fields and be eligible for doctoral studies (http://www.oulu.fi/uniogs/requirements_for_admission).

The candidate for either position is expected to have good written and oral skills in English and be highly organized and responsible for good communication and team working. The following qualifications and experience are considered as an advantage: managing and analyzing large datasets, statistical or mathematical modelling (e.g. in R, MATLAB), experience in applying GIS-data on biological systems, experience in field work, animal handling and/or molecular methods (e.g. DNA extraction, qPCR).

The salary will be based on the levels 2 – 4 for a PhD student and on levels 5 – 6 for a postdoc of the demand level chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 46.3 % of the job-specific component). Depending on the appointee’s experience and qualifications, the starting salary is 2300 – 2500 €/month for a PhD student and 3300-3700 €/month for a postdoc and increases with experience. Health care is provided by the employer.

Apply online latest on Friday, 1 June 2018 at 24:00 (Finnish local time). The application must be submitted using the electronic application form together with:
1) a full CV according to the guidelines of the Finnish Board on Research Integrity (TENK): http://www.tenk.fi/en/template-researchers-curriculum-vitae)
2) list of publications according to the guidelines of the Academy of Finland: http://www.aka.fi/en/funding/how-to-apply/appendices-required/guidelines-for-list-of-publications/
3) motivation letter where the position (postdoc or PhD student) of interest is clearly indicated (max 1 page)
4) contact information for at least 2 referees and
5) relevant certificates/diplomas.

The position will be filled as of 1 September 2018 or as soon as possible thereafter. A trial period of 6 months is applied in the position.

Further details are available from Academy Research Fellow Eva Kallio, Eva.Kallio(at)oulu.fi

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Read the job description at the university homepage

Post expires on Friday June 1st, 2018

Doctoral Student position in Deep learning

Recently, Deep Learning (DL) has become widely popular and shows an enormous potential in revolutionizing the healthcare system in different fields. Despite the advantages of the DL technology, large amounts of annotated data are required to achieve good diagnostic performance of the DL algorithms. In this project, we are aiming to tackle these issues by developing new generation of machine learning methods to enhance computer-aided automatic diagnostics, focusing on knee, hip and hand osteoarthritis.

We are looking for a talented individual with a mathematical and engineering background. The successful candidate will be working in highly multidisciplinary environment with close contact to experts in several fields, e.g., osteoarthritis researchers, radiologists as well as machine learning and computer vision experts.

This project will be carried out in collaboration with Tampere University of Technology, Finland (Prof. Esa Rahtu) and KU Leuven, Belgium (Prof. Matthew Blaschko).

Research environment

The research will be conducted at Research Unit of Medical Imaging, Physics and Technology (MIPT), Faculty of Medicine, University of Oulu, Finland (http://www.mipt-oulu.fi/saarakkala-group/http://www.mipt-oulu.fi/nieminen_group/). MIPT is an international environment of best national and international experts in medical research: neuroscience, osteoarthritis imaging and diagnosis, and health technologies. Our unit is highly interdisciplinary consisting of medical doctors, physicists, engineers, biochemists, and computer scientists.

After acceptance, a doctoral student will be enrolled to University of Oulu Graduate School (UniOGS) doctoral program. The general requirements for admission to the UniOGS can be found at the following web pages: http://www.oulu.fi/uniogs/requirements_for_admission.

Length of the position

The contract will be made for four (4) years including a trial period of six (6) months.

Requirements

We expect high motivation, excellent analytical skills, and ability to achieve the pre-defined goals. The ideal applicant should hold M.Sc. degree in Computer Science, Mathematics, Physics or other technical discipline. If you have completed any of the on-line courses (e.g. on Coursera), please include it to your CV as well.

The position requires prior experience in machine learning, data analysis and programming. The applicant should have excellent skills in programming as well as the ability to write efficient code. As a proof of your skills, we will appreciate Kaggle competitions medals, industrial experience and/or scientific experience (if published in high impact forums). Contributions to open-source packages, e.g.scikit-learn, pytorch or Keras are also highly valued. If necessary, the applicants will also be given a test task to prove their skills in programming and machine learning. Despite the aforementioned recquirements, the applicants with degrees in theoretical physics and pure math will also be considered.

During the doctoral studies, the successful candidate is expected to publish several contributions in technical conferences, such as NIPS, CVPR, ECCV, ICML, ICCV, MICCAI and also high impact cross-disciplinary journals, such as Nature Scientific Reports.

Furthermore, during the doctoral studies we expect a successful applicant to conduct a research visit to Prof. Blaschko’s group, Leuven, Belgium.

Salary
Finland is known as a country with a high quality of life and good healthcare system. The salary of the appointed researcher will be based on the demand level 2-4 chart for the teaching and research staff of Finnish universities. In addition to the basic salary, an additional salary component (not more than 46.3% of the basic salary level) will be paid based on personal achievements and performance. The net starting salary for a Ph.D. student is approximately 2300 € per month and it will progressively increase along with the progress of the student. In addition to the salary, the employed person will be insured by the university.

Application process

The application documents should include:

1)    A cover letter describing motivation for this position and earlier machine learning experience

2)    Curriculum vitae and degree certificates

3)    Full list of peer-reviewed publications in English

4)    Full name and e-mail addresses of 2 referees (referees will be contacted separately).

5)    Links to your GitHub and Kaggle profile if you have those.

Applications, together with all relevant enclosures, must be submitted using the electronic application form by June 15th .2018. Applications sent by email will not be considered. The starting date is August 6th, 2018 or as soon as possible thereafter.

Contact details

Direct any questions or correspondence to:

Simo Saarakkala, Ph.D.

Associate Professor

Research Unit of Medical Imaging, Physics and Technology

Faculty of Medicine

University of Oulu, Finland

E-mail: simo.saarakkala@oulu.fi

Phone: +358 29 4486002

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Read the job description at the university homepage

Post expires on Friday June 15th, 2018

Doctoral Student Position, the Philosophy of Education

Doctoral Student Position the Philosophy of Education
Open position at the Oulu University funded by the EUDAIMONIA research institute

Four-year Doctoral Student Position the Philosophy of Education

Unit: Values, Ideologies and Social Contexts of Education

The University of Oulu is an international scientific community, with 16 000 students and approximately 3 000 employees. The strengths of the University are wide multidisciplinary study/research interests and modern research and study environment and good cooperation with international educational and research institutes.

The following job is open in the University of Oulu:

Doctoral Student, four-year position

This doctoral dissertation will be a part of the research project  “Citizenship in Change: Constructing a Novel Theoretical Framework for Education.” The “Citizenship in Change” -project contributes to the construction of a novel theoretical framework for citizenship education in the contemporary pluralizing, globalizing and digitalizing world. It studies and develops the philosophical foundations of citizenship education in plural societies, focusing, for example, on critical abilities necessary for evaluating different ideologies, and emotional abilities necessary for encountering differences. Drawing on philosophical pragmatism, the project develops research methodology that would bring empirical and philosophical research into dialogue in a methodologically sound manner.

This position requires a strong background in philosophy and education. It requires ability to conduct independent scholarly research in English in the research field of the philosophy of education; and ability to be a collaborative and contributing member of an ambitious research group. Background in analytic or pragmatist philosophy are considered as benefits. The appointee must hold a higher university degree.

The salary will be based on the levels 2 – 4 of the demand level chart for teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 46.3 % of the job-specific component).

Apply online latest on Friday, 25 May 2018.  Please include the following attachments in your application:

1)letter of motivation,

2)curriculum vitae prepared in accordance with the guidelines of the Finnish Advisory Board on Research Integrity (www.tenk.fi/en/content/template-researchers-curriculum-vitae),

3) publication list based on the following   guideline by Academy of Finland  http://www.aka.fi/en/funding/how-to-apply/appendices-required/guidelines-for-list-of-publications/

4) names and contact information of two referees.

The position is filled as of 1 September 2018   or as soon as possible thereafter. A trial period of 6 months is applied in   the position.

More information on research project: http://www.oulu.fi/eudaimonia/node/50066

Further details are available from Professor Katariina Holma, katariina.holma(at)oulu.fi

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Post expires on Friday May 25th, 2018

Doctoral Student Position in New Radio Wave Reception Methods in Global Navigation Satellite System (GNSS)

Doctoral Student Position in New Radio Wave Reception Methods in Global Navigation Satellite System (GNSS)

Doctoral student for Information Technology and Electrical Engineering / Antennas and Propagation, 4-year position 2018-2022 in Infotech and Faculty of Information Technology and Electrical Engineering, University of Oulu 

The University of Oulu (http://www.oulu.fi/english/) is one of the largest universities in Finland, with approximately 16 000 students and 3 000 employees. The University of Oulu Graduate School (UniOGS) (http://www.oulu.fi/uniogs/) provides the framework and conditions for high-quality, research-driven doctoral education at the University of Oulu, and field-specific doctoral training is provided by its multidisciplinary doctoral programmesInfotech (http://www.oulu.fi/infotech/) offers a high-level international multidisciplinary environment supplied with cutting-edge infrastructures.  Under this framework, the Information Technology and Electrical Engineering Doctoral Programme (ITEE-DP) (http://www.oulu.fi/uniogs/dp/iteedp) offers doctoral training in Electrical Engineering, Communications Engineering, Computer Science and Engineering and Information Processing Science. 

Applications are invited for a full-time doctoral student position for a maximum of four years, starting at the earliest on 01.06.2018 in an Infotech research project headed by Adj. Prof. Markus Berg in the CWC-RT research unit, Faculty of Information Technology and Electrical Engineering. A trial period of 6 months is applied in the position.

The topic of the doctoral student research is dual circularly polarized (CP) GNSS signal reception methods for improved localization accuracy and environment sensing. The aim of this project is to develop the existing dual CP reception antennas, conduct practical field measurement, and based on observations develop radio wave propagation models for multipath environment. Further, the effect of dual CP GNSS reception method on the receiver and system level architectures of new positioning applications will be investigated. The position is supervised by Adj. Prof. Markus Berg and Prof. Aarno Pärssinen and is focused on antennas and propagation in satellite positioning.

Requirements for a doctoral student

To successfully occupy the position of a doctoral student, the candidate must possess a Master’s degree or an equivalent degree (e.g. licentiate) preferably in electrical engineering. In addition, we appreciate strong fundamental knowledge on antenna design and radio wave propagation, work- or research experience on GNSS systems, capability to write scientific publications, high motivation, and good team working skills. Degree must have been completed with good grades by 30.4.2018 (or latest before the job contract starts). Ability to pursue independent research and excellent writing and fluency in English is expected. The doctoral student position is intended for an Early Stage Researcher (ESR) who, according to the ”European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers”, is defined as a researcher in the first four years (full-time equivalent) of his/her research activity, including the period of research training. Applicants will be either starting their doctoral training, or will have completed no more than two full years of training (adjusted for possible previous part-time status) at the time the position is filled. The selected candidate will carry out his/her doctoral studies in the Information Technology and Electrical Engineering Doctoral Programme of the University of Oulu Graduate School (UniOGS) and must meet the minimal requirements to receive doctoral study rights as defined in http://www.oulu.fi/uniogs/requirements_for_admission.

Salary

The salary of the selected doctoral student will be set on levels 2 – 4 of the national salary scale for the teaching and research staff of Finnish universities. In addition, a supplementary remuneration will be given for personal achievement and performance (max. 46.3%). The total salary for these levels (before tax) currently ranges from about 1985 to 3621 Euros/month for full-time employment.

Application

Applications must be submitted using the electronic application form by 25.5.2018, 24:00 (Finnish local time), with the following attachments as three separate pdf files:

  1. Complete CV containing contact information of at least two referees (Max. size limit of the attachment: 5 Mbytes)
  2. Motivation letter (maximum 1 page) describing prior knowledge and research interests and career plans (1-2 pages; max. size limit of the attachment: 2 Mbytes).
  3. Certificates/Diplomas: Scanned electronic copies of diplomas and transcripts of the records of relevant previous degrees. If the original documents are not in English, Finnish or Swedish, each document must be accompanied by an official certified translation into English or Finnish. (Max. size limit of the attachment: 2 Mbytes)

Other relevant information

The eligible applicants fitting best in the research profile expected for the position may be invited to an on-site or remote interview. All applicants will be notified when the selection process is completed.

Contact

–        Adj. Prof. Markus Berg, e-mail: markus.berg (at) oulu.fi

–        Concerning the general requirements and application procedures: Coordinator Mirjami Jutila, e-mail: mirjami.jutila (at) oulu.fi

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Read the job description at the universtiy homepage

Post expires on Friday May 25th, 2018