Two Postdoctoral positions in Pharmacometrics – Methodological focus

 

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.

The Department of Pharmacy at Uppsala University has an interdisciplinary environment at the center of the pharmaceutical arena. With frontline research, first-rate education and extensive collaborations we constitute an important driving force in the development of our academic field. In this inspiring environment our rich diversity of research groups, several of international prominence, develop and conduct work of great scientific importance. Among our core competences are in vitro ADME models, advanced in vivo methods, computational modelling and simulations, as well as patient and societal aspects, from optimizing the use of drugs in individuals to societal pharmaceutical policies. Together, we form a unique cluster of academic competences within pharmaceutical science, playing a key role in shaping the future of pharmacy in both Sweden and globally.

Our scientific focus areas in selection: Clinical Pharmacy, Drug Delivery, Molecular Pharmaceutics,  Pharmaceutics and Nanotechnology, Pharmacodynamics, Pharmacoeconomics, Pharmacoepidemiology, Pharmacokinetics, Pharmacometrics, Pharmacotherapy, Social Pharmacy.

More information: www.farmaci.uu.se.

Duties/Project description: Pharmacometric models describe the time course of disease and the effects of drugs on these time courses. The research group in Pharmacometrics is involved in methodological research concerning principles and approaches for the development and use of these types of models as well applied development and use of models in specific therapeutic areas to enhance the understanding of diseases and the effects of treatment in order to streamline the development of new drugs and improve therapy with existing medicine. Much of our research is done in international collaboration with universities and industry in Europe, USA, Africa, Asia and Australia. The research team is international, with  >12 nations and many areas of expertise (pharmaceutical sciences, engineering sciences, medicine, statistics and mathematics) are represented. For more information about our research: Pharmacometrics. We are looking for two post-doctoral fellows focusing on methodology (decision making using pharmacometric models and automation of  pharmacometric approaches through the use of AI, machine learning and/or other methods).

Requirements: To qualify for an employment as a postdoctor you must have a PhD degree or a foreign degree equivalent to a PhD degree in pharmacokinetics / pharmacodynamics / pharmacometrics /statistics / AI / ML or a related field. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

We place great emphasis on personal suitability and motivation to improve methods within pharmacometrics. The applicant must be able to express themselves well, both orally and in writing, in English.

Special merits: Pharmacokinetic-pharmacodynamic modeling and simulation. Experience in decision making with pharmacometric models. Experience within AI / machine learning. Interest in, and skill in, scientific writing is highly desirable, as is experience of collaborating in international networks.

Application: The application should include:

A motivation letter with a brief description of the candidate and research interests as well as experiences in relation to the requirements and qualifications listed above, and the topics pharmacometrics, pharmacokinetics, pharmacodynamics, model based decision making, AI and machine learning. the candidate’s CV copies of diplomas and certificates two recommendation letters (where one preferably would be from a supervisor of the Master thesis) and thesis, as well as other relevant documents that the applicant wish to refer to, such as proficiency in English.

Salary: Individual salary.
 
Starting date: 01-10-2021 or as otherwise agreed.

Type of employment: Temporary position according to central collective agreement.

Scope of employment: 100 %.

For further information about the position please contact: Professor Andrew Hooker, andrew.hooker@farmaci.uu.se, and Professor Mats Karlsson, mats.karlsson@farmaci.uu.se.  

For questions around the employment, please contact HR-generalist Pernilla Larsson pernilla.larsson@farmaci.uu.se .

Please submit your application by 30 July 2021, UFV-PA 2021/2868.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. 

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University's recruitment system.

Placement: Department of Pharmacy

Type of employment: Full time , Temporary position longer than 6 months

Pay: Fixed salary

Number of positions: 1

Working hours: 100%

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: Seko Universitetsklubben seko@uadm.uu.se
ST/TCO tco@fackorg.uu.se
Saco-rådet saco@uadm.uu.se

Number of reference: UFV-PA 2021/2868

Last application date: 2021-07-30

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Postdoctoral researcher/fellow in computational biophysics, with focus on artificial intelligence in structural biology

 

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.

Department of Chemistry – BMC conducts research and education in analytical chemistry, biochemistry and organic chemistry. More than 100 people work at the department. New employees and students are recruited from all over the world and English is the main working language. The department is located at the Biomedical Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives access to advanced infrastructure for experimental and theoretical studies. You can find more information about us here.

We are searching for a postdoctoral researcher/fellow in computational biophysics, with focus on artificial intelligence in structural biology.

The position is placed in the Westenhoff research group. The team has the goal to uncover structural dynamics of proteins and chemical reactions. The research at the interface of biology, chemistry and physics has resulted in two ERC awards and other high profile grants, and the group continuously publishes in widely recognized journals. Find more information on: http://www.westenhofflab.net/ and on google scholar.

The project: We are looking for a postdoctoral researcher to apply machine learning and artificial intelligence approaches for protein structure prediction and for combining these with the analysis cryo EM data and serial X-ray crystallography. The project also aims at preparing a national infrastructure for proteins structure prediction. We welcome applicants, who contribute own ideas on the project design.

The work duties: Your work duties may be adjusted, depending on the project design and your personal preferences, They may include:

• Research within the specified project.
• Computational analysis of single-particle cryo EM and/or serial crystallography data with AI or machine learning.
• Application of machine learning approaches to protein structure prediction.
• Work towards an implementation plan for a national infrastructure for proteins structure prediction.

Required qualifications: To qualify for an employment as a postdoctor you must have a PhD degree or a foreign degree equivalent to a PhD degree in a field, for the employer relevant to the project. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

You are required to have:

• Hands-on expertise with advanced computational data analysis and/or programming in biophysics, structural biology, or chemistry.
• A very good publication record and publication pipeline, which demonstrates scientific maturity and productivity.  
• A track record of scientific independence, creativity, team work and results orientation.
• The ability to express yourself in spoken as well as written English.

We prefer candidates, which have:

• Experience with machine learning and artificial intelligence applied to problems in biophysics or structural biology.

Application:  The application should include:

• a brief letter of intent describing yourself, your research interests and why you are suitable for the position.
• a CV with publication list.
• a copy of your PhD degree, your grades and a copy of your thesis (can be provided as a link).
• name and contact information to at least two reference persons (e-mail address and phone no.).

The application should be written in English.

Salary: Individual salary.

Starting date: 2020-07-01, or as agreed.

Type of employment: Temporary position for 24 months, according to central collective agreement.

Scope of employment: 100 %.

For further information about the position please contact: Prof Sebastian Westenhoff Sebastian.Westenhoff@chem.gu.se, +46 766 18 3936.

You are welcome to submit your application no later than August 12, 2021 UFV-PA 2021/1995.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. 

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University's recruitment system.

Placement: Department of Chemistry - BMC

Type of employment: Full time , Temporary position longer than 6 months

Pay: Fixed salary

Number of positions: 1

Working hours: 100 %

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: Seko Universitetsklubben seko@uadm.uu.se
ST/TCO tco@fackorg.uu.se
Saco-rådet saco@uadm.uu.se

Number of reference: UFV-PA 2021/1995

Last application date: 2021-08-12

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Staff Scientist School of Medicine, Emory University

 

Applicants are sought to fill a Staff Scientist position to work on interdisciplinary projects investigating the molecular mechanisms of infectious diseases and cancer with a focus on novel protein-based therapeutic development in the laboratory of Dr. Eric J. Sundberg, Professor and Chair of the Department of Biochemistry at the Emory University School of Medicine in Atlanta, Georgia (www.biochem.emory.edu).

Working at the intersection of biochemistry, glycobiology and infectious disease research, the Sundberg laboratory focuses on the structural, energetic and functional dissection of molecular mechanisms of infection, immunity and cancer, as well as the development of protein-based therapeutics. We leverage our longstanding expertise in structural biology to define molecular recognition events in order to rationalize the development of novel therapeutics. In addition, we develop new methods for the directed evolution of carbohydrate-active enzymes and glycoproteins.

The successful applicant will lead protein engineering efforts in the Sundberg laboratory. Accordingly, demonstrated capabilities and a publication track record in protein engineering by directed evolution methods, especially using yeast display, are requirements for the position. The ability to work in a collaborative research group is also critically important, and excellent written and oral communication skills are a must. Minimum qualifications include a PhD or equivalent terminal degree OR a Master’s degree and five years of relevant experience.

Applicants must apply online to be considered at https://staff-emory.icims.com/jobs/73395/job. Applications should consist of: (1) a curriculum vitae; (2) a statement of research interests, capabilities and experience related to protein engineering, directed evolution and yeast display, not to exceed two pages; and (3) the names and contact information of three references. Review of applications will begin immediately and will continue until the position is filled. Expected start date for the position is as early as September 1, 2021.

Postdoctoral Fellow School of Medicine, Emory University

 

Applicants are sought for a funded postdoctoral fellowship position to work on interdisciplinary projects investigating the molecular mechanisms of infectious diseases and cancer with a focus on novel protein-based therapeutic development in the laboratory of Dr. Eric J. Sundberg, Professor and Chair of the Department of Biochemistry at the Emory University School of Medicine in Atlanta, Georgia (www.biochem.emory.edu).

Working at the intersection of biochemistry, glycobiology and infectious disease research, the Sundberg laboratory focuses on the structural, energetic and functional dissection of molecular mechanisms of infection, immunity and cancer, as well as the development of protein-based therapeutics. We leverage our longstanding expertise in structural biology to define molecular recognition events in order to rationalize the development of novel therapeutics. In addition, we develop new methods for the directed evolution of carbohydrate-active enzymes and glycoproteins.

The successful applicant will advance protein engineering projects in the Sundberg laboratory. Accordingly, demonstrated capabilities and a publication track record in protein engineering by directed evolution methods, especially using yeast display, are requirements for the position. The ability to work in a collaborative research group is also critically important, and excellent written and oral communication skills are a must. The ability and/or desire to integrate structural biology and molecular biophysics methods into one’s research projects is valued. Minimum qualifications include a PhD or equivalent terminal degree.

Applicants must apply online to be considered at https://faculty-emory.icims.com/jobs/73394/job. Applications should consist of: (1) a curriculum vitae; (2) a statement of research interests, capabilities and experience related to protein engineering, directed evolution and yeast display, not to exceed two pages; and (3) the names and contact information of three references. Review of applications will begin immediately and will continue until the position is filled. Expected start date for the position is as early as September 1, 2021.

Student teachers for academic support in English in the subject Design Theory I within the BA programmes in Design Culture and Design Culture and Economics

 Department of Design and Communication offers 2 vacant positions as student teachers focusing on academic support in English from the beginning of September 2021 till the end of the semester in connection with the subject Design Theory in the 3rd semester of the BA programme in Design Culture and the BA programme in Design Culture and Economics.

 
Mainly students with a background in the Design programmes will be considered, and it is an advantage to have passed the course Design Theory I. Furthermore, good knowledge of the English language and experience in writing in English will be advantageous.
 
Student teachers will be responsible for providing students of Design Theory I with academic writing support in English in their portfolio assignments throughout the semester. Specifically, this includes giving one-to-one support to students who have difficulties with English and/or academic writing.
This will be in the form of (1) short meetings to aid students with revising their graded portfolio assignments up to an acceptable academic level, and (2) reading draft portfolio submissions by students and providing them with suggestions for improvements prior to submission and grading.
 
The lessons of the student teachers will be planned in co-operation with the subject teacher and in consult
ation with the head of studies.
 
Each student teacher will have 23 working hours, which will be conducted simultaneously with the teaching. The specific schedule can be arranged with the teacher.
 
Please contact Head of Study Niels Peter Skou, nps@sdu.dk, for further information.
 
Instructors are employed for a period of 1, 2 or 3 years. The relevant department can be contacted for details.
 
Please note that employees are not required to have lessons every semester during their employment.
 
Instructors are paid in accordance with the collective agreement between the Ministry of Finance and the National Association of Student Instructors.
 
Instructor posts are only open to students at SDU (a copy of the applicant’s academic record must be attached).
 
Applicants must attach a CV that includes information on previous teaching experience and relevant academic qualifications.
 
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
 
Applications must be submitted electronically using the link below. Attached files must be in Adobe PDF or Word format.
 
The Faculty expects applicants to read the information “How to apply” before applying.
 
Each box can only contain a single file of max. 10 Mb.

Send application

Deadline 2021-Aug-12

You can apply for the job at Faculty of Humanities by completing the application form

APPLY ONLINE

PhD position transfer learning in medical imaging 1

 

The DASYA (DAta-intensive SYstems and Applications) group at the Computer Science Department of the IT University of Copenhagen invites motivated individuals to apply for a PhD position starting 1 October 2021 or soon thereafter and for the duration of 3 years. The project is funded by the NovoNordisk Foundation project "CATS: Choosing A Transfer Source for medical image classification" and is led by Associate Professor Veronika Cheplygina. 

Project
Medical imaging algorithms, eg. for detection of abnormalities, are often trained via transfer learning - first on source (publicly available) images, and then on target (clinical) images. An important problem is how to choose the source data. A poor choice will impair the algorithm performance and waste computational resources.  Our goal is to develop tools for choosing source data for given types of target data, by systematically studying transfer learning, and proposing dataset similarity measures that allow predicting good source datasets in advance. 

The project will hire two PhD students, who will investigate different types of dataset similarities. This specific position is on data-driven similarities, for example based on embeddings via deep neural networks. 

The ideal candidate will have: 

• A MSc or equivalent in computer science, mathematics, physics, biomedical engineering or a closely related discipline (or a statement signed by the supervisor with the expected completion time for the MSc thesis)
• Programming experience in Python or a similar language
• Practical experience with machine learning techniques
• Enthusiastic about interdisciplinary research in a diverse team

Research environment
The successful applicant will join DASYA lab at ITU (https://dasya.itu.dk) and be supervised by Associate Professor Veronika Cheplygina (www.veronikach.com). The successful applicant will collaborate closely with the other PhD student hired for the project. There are also multiple opportunities for collaboration with other groups at ITU (https://en.itu.dk/research/departments/computer-science-department), as well as a wide network of existing collaborations within and outside Denmark. 

The PhD student will also be part of the PhD School at ITU.

We aim at building a diverse team. All applications are welcome, especially those from members of underrepresented groups are encouraged.

Application
The application must be in English and must include:

• Curriculum Vitae
• Letter of motivation, which provides evidence of independent thinking and a grasp of the research field matching the project description
• Documentation of academic degree(s)
• Optionally: applications may include a relevant publication or preprint written by the applicant, or the applicant's (draft) master thesis.

Applications without the above-mentioned required documents will not be assessed. We may ask for references later in the process.

It is understood that even highly qualified applicants will satisfy these requirements to varying degrees, for example because of differences in publication cultures in various research fields.

Early contact with the project leader (Dr. Veronika Cheplygina, vech@itu.dk) is strongly encouraged.

General information
The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time Faculty members. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT.

Salary
Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).

Application procedure
You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies 

Please read the guidelines for applicants carefully before filling in the application form. You can see the guidelines through this link: https://en.itu.dk/research/phd-programme/available-phd-positions/guidelines-for-applicants

Applications must be written in English. All other documents, such as transcripts must be accompanied by a translation in English or Danish.

Questions about the positions can be directed to Dr. Veronika Cheplygina (vech@itu.dk).

The applicant will be assessed according to the Appointment Order from the Ministry of Science, Technology and Innovation of 13 March 2012.

The IT University may use shortlisting in connection to the recruitment process. In case of shortlisting, the Chair of the hiring committee selects applicants for assessment in consultation with the hiring committee after the application deadline. All applicants are notified whether their application has been passed for assessment. The shortlisting of candidates for assessment is based on the criteria in the job posting.

Application deadline: 31 July 2021 at 23:59 CEST.

Applications/enclosures received at ITU after the application deadline will not be taken into consideration.

If you submit an application, it is your responsibility to ensure that it arrives before the deadline so please allow sufficient time for upload of publications and other documents.

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.

PhD position transfer learning in medical imaging 2

 

The DASYA (DAta-intensive SYstems and Applications) group at the Computer Science Department of the IT University of Copenhagen invites strong and highly motivated individuals to apply for a PhD position starting 1 October 2021 or soon thereafter and for the duration of 3 years. The project is funded by the NovoNordisk Foundation project "CATS: Choosing A Transfer Source for medical image classification" is led by Dr. Veronika Cheplygina, Associate professor at ITU.

Project
Medical imaging algorithms, eg. for detection of abnormalities, are often trained via transfer learning - first on source (publicly available) images, and then on target (clinical) images. An important problem is how to choose the source data. A poor choice will impair the algorithm performance and waste computational resources. Our goal is to develop tools for choosing source data for given types of target data, by systematically studying transfer learning, and proposing dataset similarity measures that allow predicting good source datasets in advance. 

The project will hire two PhD students, who will investigate different types of dataset similarities. This specific position on knowledge-driven similarities, for example based on judgments from experts.

The ideal applicant will have:

• A research master's degree in psychology, cognitive science, human-computer interaction, computational social science, artificial intelligence or similar
• Experience with empirical research involving human participants
• Programming experience in Python or a similar language
• Understanding of statistical techniques, experience with machine learning is a plus
• Enthusiastic about interdisciplinary research in a diverse team.

Research environment
The successful applicant will join DASYA lab at ITU (https://dasya.itu.dk ) and be supervised by Associate Professor Veronika Cheplygina (www.veronikach.com). The successful applicant will collaborate closely with the other PhD student hired for the project. There are also multiple opportunities for collaboration with other groups at ITU (https://en.itu.dk/research/departments/computer-science-department), as well as a wide network of existing collaborations within and outside Denmark. 

The PhD student will also be part of the PhD School at ITU.

We aim at building a diverse team. All applications are welcome, especially those from members of underrepresented groups are encouraged.

Application
The application must be in English and must include:

• Curriculum Vitae
• Letter of motivation, which provides evidence of independent thinking and a grasp of the research field matching the project description
• Documentation of academic degree(s)
• Optionally: applications may include a relevant publication or preprint written by the applicant, or the applicant's (draft) masters thesis.

Applications without the above-mentioned required documents will not be assessed. We may ask for references later in the process.

Early contact with the project leader (Dr. Veronika Cheplygina, vech@itu.dk) is strongly encouraged.

General information
The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time Faculty members. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT.

Salary
Appointment and salary will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC).

Application procedure
You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies 

Please read the guidelines for applicants carefully before filling in the application form. You can see the guidelines through this link: https://en.itu.dk/research/phd-programme/available-phd-positions/guidelines-for-applicants

Applications must be written in English. All other documents, such as transcripts must be accompanied by a translation in English or Danish.

Questions about the positions can be directed to Dr. Veronika Cheplygina (vech@itu.dk).

The applicant will be assessed according to the Appointment Order from the Ministry of Science, Technology and Innovation of 13 March 2012.

The IT University may use shortlisting in connection to the recruitment process. In case of shortlisting, the Chair of the hiring committee selects applicants for assessment in consultation with the hiring committee after the application deadline. All applicants are notified whether their application has been passed for assessment. The shortlisting of candidates for assessment is based on the criteria in the job posting.

Application deadline: 31 July 2021 at 23:59 CEST

Applications/enclosures received at ITU after the application deadline will not be taken into consideration.

If you submit an application, it is your responsibility to ensure that it arrives before the deadline so please allow sufficient time for upload of publications and other documents.

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.

Associate professorship(s) in Enterprise Systems and IT Governance

 

The Business IT Department at the IT University of Copenhagen invites qualified applications for an Associate Professor position in enterprise systems and IT governance. The proposed starting date is January 2022 or soon after that. 

We invite applicants who want to contribute to the IT University's vision of creating and sharing knowledge that is profound and leads to ground-breaking information technology and services for the benefit of humanity. The new Associate Professor will work within the Information Systems & Digital Innovation (ISDI) group (formerly TIME group, https://isdi.itu.dk/) of the Business IT department. 

The ISDI group comprises more than 10 full-time faculty doing qualitative, quantitative, and design-oriented research on digital ecosystems, digital innovation, and digital technology management, focusing on technologies such as Blockchain and Artificial Intelligence. The ISDI group is among the leading European research groups regarding publications in leading Information Systems journals. The Business IT department is a space for interdisciplinary collaboration between the ISDI group and the Technologies-in-Practice (TIP) group (https://tip.itu.dk/), which focuses on qualitative and critical studies of technology-mediated practices in organizations and everyday life. The TIP group is among Scandinavia's leading research groups at the intersection of IT and society and unites scholars from science and technology studies, anthropology, sociology, Human-Computer Interaction, and Computer-Supported Collaborative Work.

Job Description
The new Associate Professor is expected to contribute to research, teaching, and funds raising in enterprise systems and IT governance. To qualify for this domain, the candidate should have a publication record or evidence of well-received teaching in at least two of the following areas:

• Design or use of enterprise software such as Enterprise Resource Planning, Supply Chain Management, and Customer Relationship Management systems
• Enterprise software platforms and ecosystems
• Design or use of databases in organizational contexts
• Data and business process modeling
• Business process analysis and automation
• Data platforms and data governance
• Enterprise architecture
• IT governance and control
• Adaptive data and analytics governance
• Regulatory compliance in data management

The new Associate Professor should design and execute academic research related to at least some of these areas. Moreover, the new Associate Professor should conduct excellent research-based teaching in the areas mentioned above. The teaching will be within the bachelor and master programs offered by the Business IT department, wherein most courses are held in English. The position will be based on a permanent contract (tenured position).

Qualification Requirements

• Publications in internationally renowned outlets such as the IS basket of eight or equivalent internationally renowned outlets from other disciplines relevant for the position (e.g., Government Information Quarterly, Research Policy, Journal of System and Software)
• A Ph.D. degree
• The ability to teach content in at least two of the areas mentioned above, as documented by publication records or evidence of well-received teaching in the specific areas

Preference will be given to candidates that demonstrate expertise or achievements in the following areas:

• The candidate should be able to develop and conduct teaching that is well received by students.
• A completed teacher development program (adjunktpædagikum) or an equivalent pedagogical qualification

• The candidate should be able and willing to contribute to our interdisciplinary research and teaching environment, such as by demonstrating familiarity with both qualitative and quantitative methods or by a track record of collaboration with researchers from other fields relevant to the IT University.
• A record of contributing to the goals of the institutions in which he/she has worked, such as participation in committees, etc. 
• A record of attracting external research funding 
• Competencies in supervising Ph.D. students 
• The ability to read/speak a Scandinavian language or the willingness to learn Danish

Questions about the positions can be directed to Oliver Krancher (Head of the Study Programme for Global Business Informatics, olik@itu.dk, +45 7218 5272) or Lene Pries-Heje (Head of the Business IT Department, lpries@itu.dk, +45 7218 5362)

General information
The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 160 full-time academics. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialisation of IT.

Working at the IT University
Located in modern architecture at the intersection of the new Ørestad and the old Amager, a 6-minute metro ride from the center of Copenhagen, the IT University offers an informal working environment, a varied everyday life, and a highly motivated, ambitious, competent and diverse international faculty, with PhD degrees from 15 different countries. The IT University is an equal opportunity employer and prides itself in actively and successfully pursuing an improved gender balance among students and among faculty. We encourage applicants from underrepresented groups.

Working in Copenhagen
Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and well-functioning infrastructure. Copenhagen is among the world’s most livable cities according to the Economist Global Liveability Index. Living and working in Copenhagen will be a good experience for you and your family.

Salary 
Appointment and salary will be in accordance with the Ministry of Finance's agreement with the Danish Confederation of Professional Associations (AC).

Application 
The application must be in English and must include: 

• A motivated application, including a cogent argument for how qualified you are for the position and brief statements of research plans and teaching portfolio.
• A full CV, including name, address, phone number, e-mail, previous and present employment and academic background 
• Documentation of academic degrees (copy of degree certificates etc.) 
• Copies of 3-5 publications relevant to the position. 
• A numbered list of publications. The enclosed publications should be marked with an asterisk (*) 
• Documentation of pedagogical experience and teaching record within the teaching areas listed for the position
• Preferably documentation of both a) received observation and feedback on teaching, b) pedagogical training courses as a teacher, c) a formal written assessment of teaching competence and d) a teaching record within one or more of the teaching areas listed for the position

Applications without the above-mentioned documents will not be assessed. 

The applicant will be assessed according to the Appointment Order from the Ministry of Science, Technology and Innovation of 13 March 2012.

The IT University may use shortlisting in connection to the recruitment process. In case of shortlisting, the Chairman of the hiring committee selects applicants for assessment in consultation with the hiring committee after the application deadline. All applicants are notified whether their application has been passed for assessment. The shortlisting of candidates for assessment is based on the criteria in the job posting. 

Application procedure 
You can only apply for this position through our e-recruitment system. Apply by pushing the button "Apply for position" in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies

The IT University uses tests in connection with the recruitment process. 

Application deadline: 1st August, 2021, at 23:59 CEST. 

Applications received after the application deadline will not be taken into consideration. If you submit an application, it is your responsibility to ensure that it arrives before the deadline, so please allow sufficient time for upload of publications and other documents. 

The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.