As a vital part of our digital library service to DTU and other universities, the Technical Information Center of Denmark (DTU Library) operates a data processing that handles the constant inflow of terabytes of heterogeneous data. These data require acquisition, enrichment, cleansing, normalisation, mining and indexing in order to act as the foundation of cutting edge applications for research organisations like DTU – especially as input to search engines. Over the past 15 years, DTU Library has gradually enlarged and matured this operation. Recently, the applicability of these data as a research instrument for DTU’s sequence analysis / data mining research environments, has made DTU’s research environments close partners. Our technical environment is dominated by Open Source software.
Does this appeal to you, and are you
- interested in working with large volumes of data when creating the best possible foundations for cutting edge web based services of the future?
- motivated by the challenge of participating in the development of the next generation of one of the world’s longest existing and trendsetting platforms for large-scale data processing of scientific and scholarly data?
- prepared to do so with a development team anchored at one of Europe’s most ambitious research libraries?
If so, you may be the programmer we are looking for.
From your base in the data processing group, you will be in close technical contact with the whole technical team of experienced co-developers, system administrators and system librarians, and therefore in contiguity with the whole spectrum of our system setup and service portfolio.
In addition, you will also be working with the other 40 colleagues of the library.
Teamwork is essential in our everyday life, and in our development, DTU Library also often collaborates with national as well as international partners.
- design and implement new and improved functionality, taking the data processing, the data enrichment as well as the continued operation of the next generation of the DTU Library data processing platform to an even higher level.
- collaborate with DTU’s research environments within sequence analysis and data mining in order to maximize the value for DTU of the unique collection of 13M++ PDF articles kept locally at DTU Library.
- collaborate with UI development in order to maximize the value of the large volumes of data to the end users.
- work with the local data repository development in order to make sure that data accumulated from DTU campus are stored and handled in the best possible and flexible way.
We expect you to
- have an BSc./MSc. in Computer Science or related fields, and/or equivalent work experience.
- be passionate about programming and the relationship between development and operation and develop robustly with a “steady hand” under high demands for availability, flexibility, complexity and interoperability.
- have hands-on experience programming in perl – and an open mind towards acquiring programming skills in other languages, should the situation/architecture call for it.
- have experience with development and operation of solutions distributed over many unix/linux based hosts.
- have a firm sense of accountability.
- speak, read and write English fluently – abilities with the Danish language is a plus.
The details and the bigger picture
DTU Library offers an exciting and challenging job involving a variety of tasks in a dynamic, informal and family-friendly organisation with good colleagues. We offer good opportunities for enhancing your skills and competences, as the personal development of employees is core to the organisation.
The job is a full time job with a norm of 37 hours per week.
Start date: As soon as possible.
Salary and employment terms according to CO10/LC-collective agreement and the organisation agreement for it-workers (Prosa) or the agreement for Academics (AC) or other relevant collective agreement. Should the AC agreement apply, the job is expected to be as special consultant.
Applications for this job - in Danish or in English - must be submitted using the link "Apply online" / "Ansøg online" at the top and bottom of this page. Fill out the online application form and attach application and C.V. The deadline for applying for this job is 31 October 2012.
Last updated: Tuesday, February 28, 2017 23:46 UTC