Tag-arkiv: Örebro University

Researcher in Mathematical/Computational Systems Biology

Ref no: ORU 2.1.1-04521/2021

We are looking for a researcher in Mathematical/Computational Systems Biology for a permanent full-time position at the School of Medical Sciences at Örebro University.

Subject area

The subject area for this position is Biomedicine.

Background

This position is a unique opportunity to become a central collaborator in the establishment of the large and well-funded project X-HiDE (www.oru.se/X-HiDE); aiming at using a systems biology approach to investigate inflammatory mechanisms. We are looking for a researcher (junior or senior), who wants to establish a long-term research platform at Örebro University.

X-HiDE will build and investigate mathematical mechanistic models of inflammatory processes on various scales, based on dynamical data produced from in vitro models and connected to large-scale clinical OMICs data. The focus is on mathematical ODE-based multi-level modeling, with systematic testing of subsystem mechanisms, and assembly of these into larger models to represent overall systems views. Models will then be investigated regarding their role in inflammation seen in common diseases, and towards translating these findings for clinical application, hybrid modeling approaches will be followed.

X-HiDE is hosted by the Inflammatory Response and Infection Susceptibility Center (iRiSC) at Örebro University (www.oru.se/iRiSC), which, together with the Functional Bioinformatics group, will be the main affiliation for the position. X-HiDE is transdisciplinary and includes also academic partners located at Linköping University, Sweden, and at Rostock University, Germany but also major industrial partners, e.g. AstraZeneca in Gothenburg and Wolfram MathCore in Linköping. As part of the project, the position offers the possibility and is encouraged to spend shorter or longer times at these sites.

Duties and responsibilities

Duties and responsibilities involve research, teaching, and collaboration.  We expect the researcher to develop his/her autonomy as a scientist and to acquire further qualifications in terms of both research and teaching skills. The position shall also contribute to the University’s development, and as such be responsible of coordinating the establishment of Systems biology at Örebro University. The University has a strong profile in artificial intelligence (AI) and is looking for further opportunities to expand its multi-disciplinary research, and thus an important part of the position is to collaborate and find links to the AI research at Örebro University. The successful candidate is therefore expected to act as a bridge between the AI research environment and systems biology at X-HIDE, and to find new projects and opportunities between the two environments. The main work of the position involves coordinating the collaboration between X-HiDE’s partners – academic and industrial. Also, one important task is to take initiative for further national and international collaborations and funding.

The applicant will also be involved in the development and investigation of dynamical mathematical models based on experimental data available within X-HiDE; data relevant for a variety of mechanisms at different scales of inflammation. The applicant will engage in in-depth discussions for hypothesis development, model specification and adaptation, as well as generation of model predictions in close collaboration with experimentally working biomedical researchers and clinicians.

The researcher will further develop courses and teach on masters and PhD level.

Qualifications

Those qualified for the appointment as a researcher are applicants, who have obtained a doctoral degree, or a degree from abroad deemed to correspond to a doctoral degree.

Assessment criteria

The position requires good networking and coordinating skills, and we welcome a researcher with an extensive international network. Since the project will be conducted in close collaborations with other professions and non-academic partners, a cooperative mindset is of great importance. Also, personal skills and abilities, such as teamworking, power of initiative, and a drive to move things forward is vital. The applicant should also be highly organized, able to meet deadlines, have a clear sense of responsibility, and be goal oriented. A general basis for assessment is that the applicant can demonstrate the personal qualities required to successfully perform the duties and responsibilities at hand.

Experience of mathematical and mechanistic modeling techniques is crucial, preferably within systems biology or related areas, where analysis of dynamical models is of importance. The applicant should also have documented experience with data analysis in the (bio)medical fields. Previous research within dynamical mathematical and mechanistic model analysis in the life sciences is preferred. Other additional merits include network-based bioinformatics modeling, machine learning, and other related techniques.

The duties require very good communicative skills in English, both in writing and in speech; a request that is mandatory. The long-term goal is to have the researcher developing his or her skills and expertise within research and education to be qualified for a position as senior lecturer. Good communicative skills in Swedish in speech and in writing, at such a level that is necessary for the candidate to be able to perform frequent duties and responsibilities within research, teaching and administration, will then be required.

Information

This is a permanent full-time position. At Örebro University, salary depends on the successful candidate’s qualifications and experience, and positions announced are, where appropriate, subject to a trial period of six months.

For more information about the position, contact Professor Eva Särndahl, Project Manager: +46 19 30 3684, email: eva.sarndahl@oru.se, Dr. Robert Kruse, Research Manager of X-HiDE: +46 19 6026697, email: robert.kruse@oru.se, or Professor Magnus Johansson, Acting Head of the Department: +46 19 30 2443, email: magnus.johansson@oru.se.)

At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach.

Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust, and respect. We value the qualities that diversity adds to our operations.

Örebro University is one of the most expansive universities in Sweden, and was most recently placed as number 75 when Times Higher Education ranked the young universities in the world, and as 127th in the world when looking at the citation rate per se: https://www.oru.se/english/about-us/orebro-university-in-rankings/

Application

The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:

  • Covering letter, outlining how you believe you can contribute to the continued development of Örebro University
  • CV with a relevant description of your overall qualifications and experience
  • Account of [research/artistic] qualifications and experience
  • Copies of relevant course/degree certificates and references verifying eligibility and criteria met

Only documents written in Swedish, English, Norwegian and Danish can be reviewed.
More information for applicants will be found at out career site:  https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/applicants-and-external-experts/

The application deadline is 2021-09-30. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

Read the job description at the university homepage

Apply

Post expires on Thursday September 30th, 2021

Postdoctoral researcher in computer science / machine learning

Ref no: ORU 2.1.1- 02840/2021

We are looking for a postdoctoral researcher in computer science for a fixed-term position at the School of Science and Technology.

Subject area

The subject area for this position is Computer Science.

Background

The topic for this position is continual learning and learning with dataset shift. There are two direction for this position and we are looking to recruited a postdoctoral research for both or either of the two directions.

Direction 1 entails fundamental research on continual learning for dataset shift with data efficient and interpretable models and algorithms. This direction investigates methods for learning, updating, and forgetting for domains where data is incrementally available or changes over time (e.g. models of system dynamics, robotic mapping, reinforcement learning, or environmental data). Prior knowledge, experience, and interest in probabilistic machine learning, statistical learning, and Gaussian Processes are expected for this direction. In addition, prior knowledge, experience, and interest in Bayesian methods and deep Gaussian processes are advantageous.

Direction 2 entails fundamental research on reinforcement learning with continual adaptation and dataset shift including, but not limited to, meta and transfer learning methods. This direction investigates methods for fast and efficient reinforcement learning in real-world settings by exploiting knowledge transfer, e.g. from other domains or experience, to allow faster learning and adaptation in the target environment. Prior knowledge, experience, and interest in reinforcement learning in continuous spaces and deep learning are expected for this position. Prior knowledge, experience, and interest in robotic perception and control as well as probabilistic machine learning are advantageous.

The position is funded through the Wallenberg AI, Autonomous Systems, and Software Program (WASP, https://wasp-sweden.org/) and is not tied to a particular research project. It therefore provides a large degree of freedom to the appointed postdoctoral researcher. Research in this project will be performed in close collaboration with doctoral students and postdoctoral researchers in the same research environment, as well as external collaborators.

Duties and responsibilities

The appointment as a postdoctoral researcher is intended to enable persons who have recently been awarded their doctoral degree, to consolidate and develop primarily their research skills.

This position is primarily focused on research. Further, it is expected that the postdoctoral researcher assists in supervision of doctoral students, takes an active role in developing the research environment, and contributes to the research environment, e.g., by collaborating with other researchers.

Qualifications

Those qualified for appointment as a postdoctoral researcher are applicants who have been awarded a doctoral degree in a subject matter relevant for the position or have a degree from abroad deemed to correspond to a doctoral degree. The degree is to have been awarded no more than three years prior to the application deadline. If special grounds exist, a person who has been awarded their doctoral degree prior to that should also be considered. Such grounds comprise leave of absence due to illness, parental leave, clinical practice, positions of trust in a trade union or other similar circumstances.

Assessment criteria

The basis for assessment is the applicant’s scientific expertise, skill, and knowledge in the subject matter. Particular attention is paid to the applicant’s prospects to contribute to research and the demonstrated ambition to embark on a career within academia as well as the ability and suitability to collaborate with other members of the research environment.

Other assessment criteria
The applicant should possess and demonstrate:

  • A strong background in computer science, machine learning, or robotics
  • Motivation to obtain to undertake research on an international level
  • Strong mathematical background
  • Prior research experience in the areas of machine learning or robotics
  • A track record of high-quality publications in the areas of machine learning or robotics
  • Excellent programming skills
  • Excellent communication skills in English

Information

This is a fixed-term full-time position for two years. At Örebro University, salary depends on the successful candidate’s qualifications and experience.

For more information about the position, contact Johannes A. Stork (Supervisor), +46 19 30 39 40, e-mail: johannes.stork@oru.se, or Lars Karlsson (Head of Unit), +46 19 30 33 55, e-mail: lars.karlsson@oru.se, Peter Johansson (Head of School), +46 19 30 32 75, e-mail: peter.johansson@oru.se for administrative questions.

At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach.

Örebro University actively pursues an equal work environment and values the qualities that diversity adds to our operations.

Application

The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:

  • Covering letter, outlining why you are interested in this position and how you believe you can contribute to the continued development of our research environment at Örebro University. The cover letter should indicate one of the two directions listed above as a primary area of interest.
  • CV with a relevant description of your overall qualifications and experience relevant to this position.
  • Account of research qualifications and experience relevant to this position.
  • Copies of relevant course/degree certificates and references verifying eligibility and criteria met.
  • Most relevant scientific publications (maximum of 3 and in full-text format)

Only documents written in English, Swedish, Norwegian and Danish can be reviewed.

The application deadline is 2021-09-30 (the original application period has been extended). We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

Read the job description at the university homepage

Apply

Post expires on Thursday September 30th, 2021

Postdoctoral researcher in Biomedicine

Ref no: ORU 2.1.1-05247/2021

We are looking for a postdoctoral researcher in biomedicine for a two-year fixed-term position at the School of Medical Sciences.

Subject area

The subject area for this position is cardiovascular biology / immunology.

Background

Cardiovascular disease (CVD) is a leading cause of death world-wide, accounting for approximately one third of all deaths globally. Atherosclerosis is the underlying process for most CVDs and is characterized by accumulation of cholesterol and activated immune cells in the arterial wall. The clinical presentations of atherosclerosis are diverse and comprise myocardial infarction, stroke, peripheral arterial disease etc.  Vascular inflammation is a crucial component in the development of CVD and is currently evaluated as therapeutic target for cardiovascular disease.

In the current project the importance of the melanocortin system in the development of cardiovascular disease will be evaluated, and novel drug candidates that act on the melanocortin receptors will be tested for their ability to reduce vascular inflammation, and thereby decrease the risk for cardiovascular events.

The position is part of a strong research environment, Cardiovascular research centre (CVRC) at Örebro University (https://www.oru.se/english/research/research-environments/mh/cardiovascular-research-centre-cvrc/). The main aims of the research environment are to significantly strengthen the cardiovascular research through genuine translational research and collaboration between basic and clinical scientists at Örebro University and Örebro University Hospital, and to create unique multidisciplinary projects in the field of cardiovascular research.

Örebro University is one of the fastest growing university in Sweden with 17000 students and 1500 employees.  In year 2020, Örebro University was ranked among top 75 of the young universities according to the Times Higher Education, and top 30 when considering citation rate per se. Örebro University is a government university, which entitles to several benefits such as extended holiday and generous occupational pension and health insurance. Employees also receives health and wellness coupons. https://www.oru.se/english/working-at-orebro-university/why-work-at-orebro-university/

Duties and responsibilities

The appointment as a postdoctoral researcher is intended to enable persons who have recently been awarded their doctoral degree, to consolidate and develop primarily their research skills.

In the current position the post-doctoral fellow will study melanocortin receptor agonist and their impact in vascular cells and immunes cells and evaluate how novel melanocortin receptor agonists affect atherosclerosis development and progression. The applicant will work with cultured cells and ex vivo with human and mice blood and tissues and study cellular and molecular mechanisms underlying development of cardiovascular disease.

The researcher is expected to work independently, to take responsibility of the execution, organization, and development of the research project, to generate and document experimental results, and to report project progresses to the team leader regularly. The researcher should be experienced in scientific communication and are expected to supervise junior members of the group. This study will be conducted in close collaboration with two Swedish companies in the life science sector, as well as in collaboration with other members of the Cardiovascular Research Centre.

Qualifications

Those qualified for appointment as a postdoctoral researcher are applicants who have been awarded a doctoral degree in a subject matter relevant for the position or have a degree from abroad deemed to correspond to a doctoral degree. The degree is to have been awarded no more than three years prior to the application deadline. If special grounds exist, a person who has been awarded their doctoral degree prior to that should also be considered. Such grounds comprise leave of absence due to illness, parental leave, clinical practice, positions of trust in a trade union or other similar circumstances.

Assessment criteria

A basis for the assessment is the applicant’s ability to disseminate information and communicate; collaborate and engage with the wider community; and facilitate utilisation of the university’s research; as well as the ability and suitability to cooperate with other members of staff and contribute to the development of university operations.

Particular attention is to be paid to the applicant’s prospects of contributing to the future development of both research and education. Importance is also attached to a demonstrated ability and ambition to embark on a career within academia.  

The candidate should have proven knowledge and skills in cardiovascular biology and/or immunology. In-depth knowledge and experience in cell culture, and various cellular and molecular biology techniques is required. The candidate should be capable of generating novel ideas, and possess skills to plan, manage, evaluate and execute research projects with a high degree of independence. The candidate should be well organised and have the ability of strategic thinking. Good soft skills and cooperative attitude are essential as the applicant will work in collaboration with other researchers and business partners. The ability to initiate and maintain networks to long-term collaboration is highly appreciated. Competence in both written and oral communication of research in English is a prerequisite for the position. In addition, personal suitability will be a factor in the selection process.

Information

This is a fixed-term full-time position for two years. At Örebro University, salary depends on the successful candidate’s qualifications and experience.

For more information about the position, contact Liza Ljungberg +46 19 30 14 77, email: liza.ljungberg@oru.se, or Ida Schoultz, +46 19 30 32 09, email: ida.schoultz@oru.se

At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach.

Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust, and respect. We value the qualities that diversity adds to our operations.

Application

The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:

  • Covering letter, outlining how you believe you can contribute to the continued development of Örebro University
  • CV with a relevant description of your overall qualifications and experience
  • Account of research qualifications and experience
  • Copies of relevant course/degree certificates and references verifying eligibility and criteria met
  • Relevant scientific publications (maximum of 10 and in full-text format)

Only documents written in Swedish, English, Norwegian and Danish can be reviewed.
More information for applicants will be found at out career site:  https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/applicants-and-external-experts/

The application deadline is 2021-09-26. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

Read the job description at the university homepage

Apply

Post expires on Sunday September 26th, 2021