Tag-arkiv: University of Oulu

Doctoral Student position in Software Engineering, Software Operations, Software Anomaly Detection


We, at the University of Oulu, work as part of the international science community to produce new scientific information and science-based solutions. We are committed to educate future pioneers to build a more sustainable, intelligent and humane world. Creating new, taking responsibility and succeeding together build strong foundation in all our actions. We offer a working environment where individuals can cultivate their skills, do meaningful work, and develop professionally. Our university’s several specialized research and service units enable extensive and diverse development and career opportunities for experts in various fields.

M3S (Empirical Software Engineering in Software, Systems and Services) research unit (http://www.oulu.fi/m3s/) at the Faculty of Information Technology and Electrical Engineering (http://www.oulu.fi/itee/) at the University of Oulu, Finland, is seeking a Doctoral Student in Software Engineering to work in Software Operations and Software Anomaly Detection with Machine Learning and Deep Learning starting preferably at January 2022 (negotiable).

The doctoral student position is available for four years. The research work is part of the University of Oulu focus area “Digital solutions in sensing and interactions” (https://www.oulu.fi/en/science-arctic-attitude/digitalization-and-smart-society).  In the task, the successful applicant will set up and run software systems, generate runtime load, inject runtime anomalies, collect data of running software systems, generate synthetic data, design, and implement anomaly detection with machine and/or deep learning approaches. The position has a teaching obligation. M3S research unit’s research theme is empirical software engineering. M3S has a long tradition in industrial and international collaboration and has actively participated in large European research projects since the 1990’s. Over 30% of the research unit is international members. Members of the research unit have published their research in leading software engineering journals and conferences, e.g., IEEE Transactions on SE, IEEE Software, Empirical SE, Information and Software Technology, Journal of Systems and Software, and International Conference on Software Engineering (ICSE).  

The candidate is required to have:
– A completed Master’s degree in a related field, e.g. Computer Science. Students near completion can also apply
– Good English skills (writing, speaking)  

We appreciate:
– Interest to do high quality research in collaboration with the software industry.  

What we offer:
– Possibility to do a doctoral thesis in a top-level research group
– Research Unit has excellent collaboration with industry
– International environment and projects, English as a working language
– Health care benefits provided by the employer – Benefits of the Nordic welfare state, e.g. well-functioning daycare for children, safety, and beautiful nature.  

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

The starting salary will be based on job requirement level 2 of the salary chart of teaching and research staff of Finnish universities. In addition, a salary component based on personal work performance will be paid (maximum of 50 % of the job-specific component). In practice, the salary of a new doctoral student will be roughly 2500 € / month before taxes. The salary is paid for 12 months in a year. Additionally, the doctoral student is entitled to health care benefits. A six-month trial period will be effective at the beginning of the initial 4-year contract.   

Application Procedure
Applications, including attachments, should be submitted using the electronic system form by 10 November 2021 at 23:59 (Finnish local time). 

Finnish time UTC+2. Applications sent by email will not be considered. The following documents must be attached to the application:     1) Brief curriculum vitae in English,     2) Motivation letter,     3) Master’s thesis document or a link for online access (preferred)     4) Contact information for 1-3 references     For further information regarding the filling of this post:   Professor Mika Mäntylä, e-mail: mika.mantyla@oulu.fi, https://mmantyla.github.io/  

Read the job description at the university homepage
Apply for the job
 

Post expires on Wednesday November 10th, 2021

One Doctoral Student and One Postdoctoral Researcher Positions for Computer Vision and Machine Learning


The North changes the world – we at the University of Oulu work as part of the international science community to produce new scientific information and science-based solutions. We are committed to educate future pioneers to build a more sustainable, intelligent and humane world. Creating new, taking responsibility and succeeding together are values that build a strong foundation for all our actions. We offer a working environment where individuals can cultivate their skills, do meaningful work, and develop professionally. Our university’s several specialized research and service units enable extensive and diverse development and career opportunities for experts in various fields.

Infotech Oulu Institute is one of the four strategic focus institutes at the University of Oulu supporting high-quality research, coordinating multidisciplinary research activities and doctoral training. Infotech’s science-based expertise meets global challenges determined in the strategy of the University of Oulu (UO) in the focus area” Digitalization and smart society” exploring how digitalization can work for everyone. The research topics include sensing and ubiquitous wireless sensor systems, wireless communication, and other novel services and systems. The research targets future information infrastructures and integrates aspects of technology adoption by complex human groups, communities, and societies.

We are now hiring a Doctoral Student and a Postdoctoral Researcher to work for the research project “Towards Secure and Reliable Deep Learning Systems against Adversarial Attacks” led by Academy Professor Guoying Zhao in the Center for Machine Vision and Signal Analysis Research Unit (CMVS) to work on 
1) adversarial attacks and reliable deep learning,
or 2) robust object classification and face recognition  

The faculty, the research group and the research project
The positions are located at the Center for Machine Vision a signal analysis (CMVS), Faculty of Information Technology and Electrical Engineering (ITEE)

CMVS (http://www.oulu.fi/cmvs) provides an inspiring and international research environment. CMVS is renowned world-wide for its scientific breakthroughs in machine vision and signal analysis. Many of its results, including the Local Binary Pattern, face analysis and geometric camera calibration methodologies, are highly cited and have been adopted for different types of problems and applications around the world. The unit is internationally attractive, with one visiting FiDiPro Professor and one Fellow, several visiting scholars and an extensive international collaboration network, enabling a large number of joint publications in leading forums. The main research interests of CMVS are in computer vision and machine learning, affective computing, multimodal image and signal analysis, low-energy computing, and applications in affective human-computer interaction, biometrics, augmented reality, and biomedicine. In physiological signal analysis basic, applied and translational research in biomedical engineering is carried out to tackle key challenges of next generation personalized medicine and wellness solutions. In its field the Research Unit is globally highly ranked with research activities based on international collaborations. The partners of CMVS include three institutes of Chinese Academy of Sciences (Computing Technology, Psychology, and Automation), National University of Singapore, University of Georgia (USA), Imperial College London, Czech Technical University (Prague), University of Maryland (USA), Idiap Research Institute (Switzerland), and EPFL (Switzerland). At the University of Oulu the Research Unit and its leading experts are responsible for undergraduate, graduate, and postdoctoral education in the field.

In recent years, deep learning methods have been widely deployed in a range of vision related tasks such as object detection, segmentation and recognition. However, such methods can be vulnerable to adversarial attacks that subtle perturbations to inputs can result in incorrect decisions. In this research project, Towards Secure and Reliable Deep Learning Systems against Adversarial Attacks, we attempt to explore the new generation of adversarial attacks, improve adversarial robustness of deep neural networks and establish reliable deep learning systems against adversarial attacks for secure digitalization and smart society. This research is also expected to have a great practical and social impact due to the wide applicability of automatic systems to our daily life. This research includes both theoretical analysis and experimental validations using publicly available datasets.  Mainstream computer vision and machine learning methods will also be investigated.

Open position for a doctoral student
You would work in the field of computer vision and machine learning, carrying out the following tasks: study the courses related to the subject field; develop new algorithms and program to implement different methods, for solving problems in robust object classification and face recognition, and general neural network learning; analyze the experimental results, be able to find out the problems and adjust to new solutions; collaborate with other team members working in the same projects or same subject; write research papers and technical reports.

Qualification requirements for a doctoral student
A successful candidate for the Doctoral Student position must hold a Master`s degree in computer science or electrical engineering with previous experience on computer vision or a related area. good knowledge of spoken and written English is required and strong mathematical and programming skills with C/C++/Matlab/python are respected. publications on computer vision or a related area are considered as benefits. Please also see the requirements of the University of Oulu Graduate School: http://www.oulu.fi/uniogs/requirements_for_admission.  

Open position for a postdoctoral researcher
Successful applicants would work in the field of computer vision and machine learning, carrying out the following tasks: develop new methods for solving problems in adversarial attacks and reliable deep learning; analyze the experimental results, be able to find out the problems and adjust to new solutions; collaborate with other team members working in the same projects or same subject; write research papers and technical reports; help the supervisor guide junior researchers and manage projects.

Qualification requirements for a postdoctoral researcher
A successful candidate for postdoctoral researcher position must hold a doctoral degree in computer science or electrical engineering, The doctoral degree must have been received no more than 10 years ago.   would have previous experience and publications on computer vision or a related area. Strong publication record and mathematic background are expected. good knowledge of spoken and written English is required and strong mathematical and programming skills with C/C++/Matlab/python are respected.

What we offer
We offer you a place in a highly talented research group, working to solve globally significant research problems. University´s wide variety of support services are at your disposal, allowing you to focus on your studies and research / work. In addition to modern research facilities, we offer you personnel benefits such as free occupational healthcare, affordable sport services and endless opportunities to develop your skills and competences. Regular salary is paid 12 months per year, including paid leave and an additional holiday bonus in the summer. The successful candidate will receive also benefits provided by the Finnish government to residents, for example possibility to obtain access to the national healthcare system, tax benefits for employees with children and high-quality, affordable childcare services.

Salary
The salary of the selected doctoral student will be in accordance with the Finnish universities salary system for research and teaching personnel levels 2-4. In addition, a salary component based on personal work performance will be paid (maximum of 50% of the job-specific component). Starting gross salary will be approx. 2400-2500€ per month (before taxes). The salary of the selected postdoctoral researcher will be in accordance with the Finnish universities salary system for research and teaching personnel level 5-6. In addition, a salary component based on personal work performance will be paid (maximum of 50% of the job-specific component). Starting gross salary will be approx. 3500-4000€ per month (before taxes).  

How to apply
Applications, together with all relevant enclosures, should be submitted using the electronic application form by October 31st, 2021 at 23:59 (Finnish local time).

The application should be written in English and include the following:
1)     A motivation letter (max. 2 pages) summarizing applicant’s professional experience and expertise and describing why applicant is interested in about this position. Also, information on personal research interests, experience and career plans are valuable to provide here
2)     Curriculum vitae (max. 4 pages) in accordance with the guidelines of the Finnish Advisory Board on Research Integrity http://www.tenk.fi/en/template-researchers-curriculum-vitae
3)     List of publications based on the guidelines of the Academy of Finland: https://www.aka.fi/en/research-funding/apply-for-funding/how-to-apply-for-funding/az-index-of-application-guidelines2/list-of-publications/ [with ten most important indicated]
4)     A research plan, max. 2 pages
5)     Certificates/Diplomas: Scanned copy of the original doctoral degree certificate and transcript of records and, when necessary, official translations to Finnish or English
6)     Contact information of two senior/experienced researchers who may be asked to give a statement on the candidate  

Only applications containing all relevant appendices and submitted through the online recruitment system will be considered. Top candidates will be invited to an on-site or remote interview. All applicants will be notified when the selection process is completed.

Further information
Both positions are fixed-term positions for a maximum of 4 years, starting 1st of January 2022 or as soon as possible thereafter, ending 31.12.2025. A trial period of 6 months is applied in the positions.  

For further information, please contact Academy Professor Guoying Zhao Center for Machine Vision and Signal Analysis Research Faculty of Information Technology and Electrical Engineering Tel: +358 294 487564 Email: guoying.zhao@oulu.fi

About Oulu, Finland
Finland is one of the most livable countries in the world, with a high quality of life, safety, excellent education system, and competitive economy. The Oulu region is home to over 200 000 people making it the largest urban centre in the Nordics and one of the fastest growing regions in northern Finland. Oulu is a combination of beautiful, northern nature, vivid cultural life and modern technology. Oulu is also known for its highly-educated people and friendly, easy-going atmosphere. Living in Oulu is easy – everything is only max. 20 minutes away! Find out more about Oulu: https://www.oulu.fi/university/living-in-oulu  

Read the job description at the university homepage
Apply for the job
 

Post expires on Sunday October 31st, 2021

Postdoctoral Researcher, Evolution in Urban Environments

We, at the University of Oulu, work as part of the international science community to produce new scientific information and science-based solutions. We are committed to educate future pioneers to build a more sustainable, intelligent and humane world. Creating new, taking responsibility and succeeding together build strong foundation in all our actions. We offer a working environment where individuals can cultivate their skills, do meaningful work, and develop professionally. Our university’s several specialized research and service units enable extensive and diverse development and career opportunities for experts in various fields.

We are now looking for a highly motivated and enterprising

Postdoctoral Researcher for Evolution in Urban Environments

to join our Department of Ecology and Genetics at the University of Oulu (http://www.oulu.fi/english/), Finland.

Project description

Cities grow globally at an accelerating pace. Environmental change due to urbanization is expected to increasingly affect the evolution of extant species, potentially in a climate-dependent way. Yet, the evolutionary consequences of urbanization remain poorly understood, which is a significant problem in evolutionary biology. A few specific and conspicuous examples, however, demonstrate that urbanization-induced evolution takes place, industrial melanism in moths being the classical example of urban adaptation. This project will use a macro-scale approach to comprehensively examine urban adaptation and its climate-dependency by using Lepidoptera (butterflies and moths) as study system. The project focuses on four aspects of evolution in urban environments: (1) life history adaptations to urban environments, (2) adaptations to light pollution, (3) physiological adaptations to the urban thermal environment, and (4) the origins of urban adaptations.

The project is financed by Academy of Finland. Principal Investigator of the project is Dr. Sami Kivelä (University of Oulu, Finland). The project includes collaboration with Dr. Marko Mutanen (University of Oulu), Dr. Thomas Merckx (Free University of Brussels, Belgium), Prof. Toomas Tammaru (University of Tartu, Estonia), Dr. Karl Gotthard and Dr. Philipp Lehmann (Stockholm University, Sweden), Dr. Peter Huemer (Tiroler Landesmuseen, Austria), and Dr. Tomáš Kadlec (Czech University of Life Sciences, Czech Republic).

You will participate in studies addressing all the research themes of the project. A lot of samples and experimental data already exist, and your responsibilities as a recruited postdoctoral researcher include processing of samples (e.g. morphometric measurements of moth specimens), analysing data and reporting results in collaboration with the rest of the research team members. There will also be a possibility to analyse population genetic (ddRADseq) data, to do some field work and run further experiments. You will also have teaching duties at the department at most 5% of working time.

Qualification and selection criteria

We expect you to have

  • PhD in evolutionary biology, ecology, genetics or related fields. Please note that your degree should be obtained within the last 10 years, latest by the start of the employment.
  • Excellent English communication skills
  • Previous experience on experimental work on insects and morphometric image analyses
  • Experience and knowledge of population genetics, genomics, lepidopterology, life history evolution, behavioral ecology, statistics and using the R environment is considered as an advantage.

Duration and terms of employment

The earliest possible start date is the 1st of December 2021, but there is room for negotiation. Preferably, the start would be no later than in February 2022. Funding for the position exists until the 31st of August 2023.

Salary will be in accordance with the Finnish universities salary system (for teaching and research personnel) and will be based on demand level 5 – 6. In addition, a salary component based on personal work performance will be paid (maximum of 50% of the job-specific component). Typical salary being approx. 3400 – 3600 € per month (before taxes). A trial period of six months will be applied in the beginning of employment. Occupational health care is included.

How to apply

The application must be submitted using the electronic application form latest on 31st of October 2021 at 23:59 (Finnish local time) together with:

1) motivation letter where the reasons for interest in this position are clearly indicated (max. 1 page)

2) a full CV formatted according to the guidelines of the Finnish Board of Research Integrity (TENK; see https://tenk.fi/en/advice-and-materials/template-researchers-curriculum-vitae)

3) list of publications formatted according to the guidelines of the Academy of Finland (see https://www.aka.fi/en/research-funding/apply-for-funding/how-to-apply-for-funding/az-index-of-application-guidelines2/list-of-publications/)

4) contact information of at least 2 academic referees and

5) relevant certificates/diplomas

Further information, please contact Sami Kivelä (sami.kivela[at]oulu.fi)

Find out more about city of Oulu: https://www.oulu.fi/university/living-in-oulu

Read the job description at the university homepage

Apply for the job

Post expires on Sunday October 31st, 2021