Postdoctoral Researcher with strong knowledge in Biochemistry / Enzymology

 

• The Biochemistry group (http://bio2.aalto.fi/en/research_groups/biochemistry/) develops metabolic pathways and enzymes for the conversion of CO2 to fuels. We are looking for a

  Postdoctoral Researcher with strong knowledge in Biochemistry / Enzymology

  Research is carried out at our excellent facilities at Aalto University, School of Chemical Engineering (http://www.bioeconomyinfra.fi/). The laboratories are situated on the main campus of Aalto University in Otaniemi (short metro-ride from Helsinki) within the Department of Bioproducts and Biosystems (http://bio2.aalto.fi/en/).

  Research description

  Most experiments will be performed in anaerobic chambers. Possible projects are:

  • Tune enzymes and redox cofactors for biotechnological CO2 reduction

  • Design of synthetic metabolic pathways

  • In vitro pathway design in order to study the bioenergetics/thermodynamics

  • Study archaeal enzymes and elucidate their reaction mechanisms

  • Possible projects also involve NMR spectroscopy, synthesis of substrate analogues, or electrochemistry

  Your experience and ambitions

  • PhD in a suitable field, such as biochemistry, enzyme engineering, (bio)organic chemistry, NMR spectroscopy of biomolecules

  • Be highly committed to science and strive for excellence

  • Develop own smart ideas and think independently

  • Be able to focus on solving tough scientific problems

  • Have good written and oral communication skills in English

  Skills, knowledge or interest in some of the following areas are highly appreciated:

  • Enzymology, protein purification

  • Metabolic modelling and thermodynamics

  • Spectroscopic methods (HPLC, NMR, EPR, Electrochemistry)

  • Solid understanding of organic chemistry and reaction mechanisms

  We offer

  • High-end laboratory infrastructure and friendly colleagues

  • Opportunity to join a young, ambitious research group

  • Freedom to bring in own ideas

  • Funding for 2 years

  For more information

  For additional scientific information, please contact Prof. Silvan Scheller (firstname.lastname@aalto.fi).

  Ready to apply?

  If you want to join our community, please submit your application, through our recruitment system from the link below, before August 31st, 2021.  To apply, please share the following application materials with us (in English, only pdf documents):

  • Cover letter (start as follows: “I am interested in this position because… “)

  • CV, incl. list of publications

  • Research interest description

  • Names and contact details of references (or to be provided upon request)

  Aalto University reserves the right for justified reasons to leave the position open, to extend the application period and to consider candidates who have not submitted applications during the application period.

  About Finland

  Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland

  
  

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PostDoc in the field of Machine Learning

 

Daytime stands for Digital Lifecycle Twins for Predictive Maintenance. The objective of the Daytime `project is to demonstrate the applicability of Industry 4.0 and in particular DayTime innovations beyond traditional productions plants into the hospitals and the home by treating healthcare equipment as means or tools for production.

Healthcare encompasses both capital intensive equipment in hospitals and smart consumer products at homes. In either case reliable mapping of user interaction into system response is crucial in supporting the customer to optimally operate the product. DayTime will enable manufacturers to transform into digital service provides giving advice tailored to the user. This advice will be based on actual system status and usage combining digital twin concepts with user/usage profiling. The advice encompasses suggestions to improve performance, reduce wear and tear and provide instructions to improve longevity or pro-actively deliver maintenance as service.

The TU/e will focus on knowledge valorization by creating and translating research results into successful innovations, working together with the consortium partners, especially with Philips Research and Philips Magnetic Resonance business on the topics of predictive and reactive maintenance by applying data science and artificial intelligence technologies.

An extensive project description is available on request.

TASKS of the post-doctoral researcher:

• carry out research within the project, in cooperation with the other parties involved;
• report on the results in project deliverables, papers and conference contributions;
• a small contribution to the teaching activities of the Computer Science Faculty may be asked.

Job requirements

We are looking for a candidate who meets the following requirements:

• A PhD degree in computer science, information science or related fields (mathematics or electrical engineering);
• A research oriented attitude;
• Solid publication record and accomplishments in machine learning and or artificial intelligence
• Knowledge and practical experience in at least one of the following areas: NLP, text mining, machine learning, and knowledge management
• Solid programing skills (e.g. Java)
• Knowledge of Phyton, R Tensorflow, and/or similar languages/tools;
• Ability to work in a team, interest in collaborating with the industrial partners;
• Fluent in spoken and written English.

Conditions of employment

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for temporary appointment for 1 year (with a potential of extension / promotion)
• Close collaboration with an industrial partner (Philips) 
• You will have free access to high-quality training programs on general skills, didactics and topics related to research and valorization.
• A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
• A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, and savings schemes).
• Foreign applicants may benefit from the 30% tax regulation in order to get a higher net salary, when granted.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Information and application

More information

Do you recognize yourself in this profile and would you like to know more? Please contact
prof. dr. Milan Petkovic, m.petkovic[at]tue.nl 

For information about terms of employment, please contact HRServices.MCS[at]tue.nl

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of
  three references.
• List of five self-selected ‘best publications’ and software artifacts developed.
• Proof of English language skills (if applicable)

We look forward to your application and will screen it as soon as we have received it.
Screening will continue until the position has been filled.

APPLY NOW

Postdoc; Decoding heterogeneity & cellular intercations by microfluidics

 

Successful immunotherapy against cancer, infectious or immune-based diseases is the result of a multitude of cellular interactions within the immune system, including antigen presenting dendritic cells, cytotoxic T-cells and cancer or infected cells. Despite detailed molecular information on individual immune cell subtypes, virtually no information is available on the functional capacities of the cell subtypes. Decoding immune cell-cell or cell-pathogen interactions is expected to revolutionise the fields of immunology, biology and (cellular) immunotherapy. The Immunoengineering group focuses on developing and exploiting advances in single cell technologies, e.g. droplet- and valve-based microfluidics, high-throughput microscopy, flow cytometry, single cell RNA sequencing to probe heterogeneity in immune cell populations and to study cellular communication on the single or few cell level in health and disease.

In this project you will work on a novel and ambitious single cell technology platform, that will allow 1) functional analysis of single (pairs of) immune cells and 2) design of minimal environments under the omission of external factors that could influence cellular behaviour. Specifically, in this systems immunology approach the focus will be on pairing single plasmacytoid dendritic cells with single T cells in high throughput by droplet-based microfluidics to decode cellular communication between these cells. To fully understand how dendritic cells drive antigen specific T cell responses, you will be responsible for the development of a microscopy-based platform that allows detection of multiplexed and longitudinal cytokine secretion by single cells in high-throughput. Together, this comprehensive approach is required to achieve a full mechanistic understanding of cellular activation, communication and heterogeneity which will ultimately lead to superior cell-based vaccines, monitoring of responses and stratification of patients.

The Immunoengineering group is a young, vibrant and international group at the TU/e that strives to make an impact on healthcare by an improved understanding on immune cell function and communication. The group is embedded in the Department of Biomedical Engineering and Institute of Complex Molecular Systems and has access to state-of-the-art technologies and excellent infrastructure.

Job requirements

• PhD in immunology, molecular/cellular biology, biomedical engineering, biomedical science, or a comparable domain.
• Ability to conduct high quality academic research, demonstrated for instance by a relevant PhD thesis and/or publication(s).
• Experience in immunoassay development and/or confocal microscopy is preferred. Additional experience or affinity with microfluidics, single cell analysis or computational biology would be highly valuable.
• Ability to teach, shown by experience or assistance in teaching and positive evaluations of these teaching efforts.
• Excellent mastering of the English language, good communication and leadership skills. Note that there is no Dutch language requirement.
• You can effectively communicate scientific ideas, foster collaboration and have a capability for independent thinking.
• Be a team player and able to work in a dynamic, interdisciplinary context.

Conditions of employment

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for at least 2 years.
• You will have free access to high-quality training programs for research and valorization,  professional development courses for PhD students, and didactical courses of the TEACH training program.
• A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
• A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, and savings schemes).
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Information and application

Do you recognize yourself in this profile and would you like to know more? Please contact
dr. Jurjen Tel, email: j.tel[at]tue.nl

For information about terms of employment, please contact Sascha Sanchez, HR department, s.j.m.g.sanchez.van.oort[at]tue.nl

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

We invite you to submit a complete application by using the 'apply now'-button on this page.

The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.
• List of five self-selected ‘best publications’.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

APPLY NOW

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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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.

Postdoc for the Moving Data Moving People project

 

A full-time postdoc position in the Technologies in Practice research group, Business IT Department is open for appointment from November 1st 2021, or soon thereafter. The position is for 30 months. The position is one of two positions available on the Moving Data, Moving People research project funded by the Danish Independent Research Fund (2020-2025). Postdoc one will be hired at the IT University of Copenhagen, Postdoc two will be hired by the Department of Politics and Society at Aalborg University, see the link for more information: https://www.stillinger.aau.dk/vis-stilling/?vacancy=1147590.
For details of the qualification requirements for the ITU position please see below. If you wish to be considered for both positions, you will need to apply separately for each position.
 
The Moving Data Moving People project
The project follows the narratives about and implementation of the Social Credit System in China during the project period. As social anthropologists and STS scholars, we are interested in the lived experiences accompanying the SCS, particularly for China’s mobile population. The project asks how digital technologies are envisaged as a means by which trusting relationships will be negotiated.  We will examine questions of infrastructural integration, and how data scores and identities move with people who are on the move. We will use a range of approaches including ethnographic fieldwork, digital ethnography as well as document analysis.
The project is coordinated from ITU by Rachel Douglas-Jones and from Aalborg University by Jesper Willaing Zeuthen and Ane Bislev. For more information, please see the project 

Job description
The two postdocs will be key contributors to our program of research into the Social Credit System in China, carrying out independent research and working closely with the project team. This research is expected to advance anthropological studies of state digitalization projects worldwide, develop a culturally specific understanding of the notion of digitalized trust, and renew the literature on internal migration in China. The postdoctoral research projects will constitute a significant component of the overall project, and while the overall emphases of the research are determined by the project, the postdocs will have considerable freedom through the subprojects in shaping how the research objectives are realized. In addition to conducting fieldwork, each postdoc is expected contribute to the shared project, publish independently, as well as together with other project team members, present research papers at international workshops and conferences, contribute to popular dissemination of the research results, and contribute to project organization and administration through workshop and conference coordination. 

The postdoc position of ITU
At ITU, the postdoc will join the active Technologies in Practice research group, one of Scandinavia’s largest interdisciplinary STS environments looking at the intersection of society and IT. They will be responsible for designing an ethnographic study that attends to the making of the SCS as a sociotechnical phenomenon, following technologies, their makers, environments, and consequences of use for populations on the move. The successful candidate will be interested in and aware of questions of trust and trustworthiness become turned into technological questions, and the social life of SCS technologies in use. 

Qualification requirements 
Essential:

• A PhD in a relevant field (e.g., social anthropology, China Studies, geography, science and technology studies). Candidates who have submitted their doctoral dissertations for evaluation before the application deadline are also eligible to apply
• Fieldwork experience from China  
• Native or near native skills in both Chinese and English 
• Demonstrable capacity for independent research design and implementation  
• Willingness to relocate to Denmark (when conditions allow)
• Willingness to spend extended periods of time in the field. The position includes 6 – 9 months fieldwork in China in total. 

Desirable: 

• Experience of collaborative projects and team work, including joint writing
• Excellent organizational skills and experience in organising workshops and events
• Previous engagement with some of the relevant themes from the project (e.g., migration, SCS, digitalization, see project website for more relevant themes) 
• Previous engagement with relevant theory and methods
• Relevant networks in China for facilitating fieldwork
• Relevant teaching experience.

The application must contain the following

• Motivated cover letter (max 2 pages)
• Current CV, including contact details of two references and a list of relevant teaching experience
• Complete list of publications
• A maximum of 3 writing samples may be submitted for assessment, e.g. articles, article manuscripts or book or dissertation chapters
• A research proposal in English of approximately 2-3 pages. The statement should demonstrate how you would formulate an independent research study within the framework of the MDMP project and discuss how you will contribute to bringing the project forward empirically
• Relevant diplomas and certificates, including the PhD assessment if available.

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 is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministry of Higher Education and Science's Job Structure for Academic Staff at Universities. Salary is in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC) on Academics in the State.

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.

For further information about the academic content and requirements of the position, please contact Associate Professor Rachel Douglas-Jones at rdoj@itu.dk.
Information about the Technologies in Practice research group can be found at https://tip.itu.dk/.
Any enquiries relating to the application procedure should be addressed to Human Resources, hr@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.

Please note that all application material will be destroyed after the assessment.

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