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Currently open academic staff position

The Insti­tute for Infor­ma­tion Busi­ness is currently inviting appli­ca­tions for a full­time Assis­tant Professor, non-­tenure track posi­tion (post-doc, employee subject to the terms of the Collec­tive Bargai­ning Agree­ment for Univer­sity Staff - Ange­stellte/r gemäß Kollek­tiv­ver­trag für die Arbeit­nehmer/innen der Univer­si­täten; gross monthly salary, paid 14 times per year: Euro 3,626.60). This employee posi­tion will be limited to a period of 3 years, star­ting on December 12, 2017 (commen­ce­ment date subject to change).

Please note that under the terms of the WU personnel deve­lop­ment plan, the posi­tion of Assis­tant Professor, non-­tenure track, is limited to an employ­ment period of not more than six years. Appli­cants who are already employed at WU as substi­tute employees can there­fore only be employed for the time remai­ning to complete the six-year period. Persons who have already been employed at WU in an Assis­tant Professor, non-­tenure track posi­tion cannot be re-em­ployed in this posi­tion at WU (except as a substi­tute employee) due to legal restric­tions.

The posi­tion is in colla­bo­ra­tion between the Data Manage­ment Group in WU's Insti­tute for Infor­ma­tion Busi­ness and the Comple­xity Science Hub Vienna (CSH Vienna) ( in the area of Comple­xity Science and the Semantic Web.

lt is the main goal of the Vienna Comple­xity Science Hub to foster and faci­li­tate inter­di­sci­pli­nary and inter­or­ga­ni­sa­tional rese­arch in Vienna around complex systems, networks and big data. The Web and struc­tured data on and collected from the Web are one of the most widely studied complex systems nowa­days, influ­en­cing others like smart cities (for instance through Open Data, but also through social media, and more recently through parti­ci­pa­tory citizen science). While Comple­xity Science studies complex systems as such, Semantic Web tech­no­lo­gies and stan­dards focus on brin­ging struc­ture to non-­struc­tured data and deve­lo­ping methods for scalable methods for inte­gra­ting, proces­sing and under­stan­ding Web data.


The offered posi­tion is within a cuttin­g-edge rese­arch project and trai­ning with leading experts in the fields of Web science, Semantic Web, Econo­mics and complex systems. As a plus, Vienna is one of the world's most live­able cities (accor­ding to some rankings even the most live­able one). The posi­tion is for an initial period of three years with a salary accor­ding to Austrian stan­dards with the oppor­tu­nity and the expec­ta­tion to define propo­sals for joint follo­w-up projects for a longer-­term posi­tion. The successful candi­date will help to comple­ment the inter­di­sci­pli­nary team at CSH with exper­tise foste­ring these prere­qui­sites and support us to build large-­s­cale infra­struc­tures to collect data from the Web and to study the Web as a complex system as well as its impact in the non-vir­tual world in connec­tion with other complex systems. As the Web as an ecosystem is growing faster than our ability to make sense of it with the esta­blished methods of the Semantic Web alone, we need to rethink both the clas­sical know­ledge repre­sen­ta­tion para­digms as well as proces­sing models for under­stan­ding the Web and its data, its evolu­tion and scale as a whole. Candi­dates with a strong back­ground in Semantic Web, Web Science or Comple­xity Science, and parti­cu­larly in bridging these areas are welcome. Toge­ther with the team at CSH, the successful candi­date will work on deve­lo­ping novel methods and infra­struc­tures to collect and process Open Web Data, combine it with closed data and conduct large-­s­cale expe­ri­ments.

Your Profile:

We search for excel­lent, crea­tive and highly moti­vated scien­tists with a PhD in computer science, complex systems, Web science, or related disci­plines with strong tech­nical skills and rese­arch record. The candi­dates must:

  • have a great inte­rest in multi­di­sci­pli­nary rese­arch,

  • have a critical, open-­minded and colla­bo­ra­tive spirit and

  • be profi­cient in the English language both written and spoken.

We are looking for candi­dates with exper­tise and a strong publi­ca­tion record in at least one of the follo­wing topics (several is a plus):

  • Buil­ding and Proces­sing Know­ledge Graphs (such as methods for the effi­cient inter­ch­ange, extrac­tion and struc­tu­ring of Linked Data)

  • Know­ledge Repre­sen­ta­tion and Reaso­ning for Web Data (with a parti­cular focus on non-­stan­dard, scalable and robust methods applied to real world data)

  • Combi­ning quan­ti­ta­tive and statis­tical methods with the afore­men­tioned Know­ledge Repre­sen­ta­tion and Reaso­ning methods

  • Analy­sing the Dyna­mics and Evolu­tion of Web Data (parti­cu­larly methods and infra­struc­tures for archi­ving and analy­sing such data at scale)

  • Scalable Methods for mana­ging Infor­ma­tion comple­xity of the Web (parti­cu­larly Big Data Infra­struc­tures to process data at Web scale)

  • Connec­ting virtual and physical commu­nities by data and seman­tics on the Web (parti­cu­larly social and tech­nical impli­ca­tions)

  • Combi­ning Open and Closed Data (parti­cu­larly maste­ring impli­ca­tions and tech­nical chal­lenges on privacy and secu­rity)

Refe­rence Number: 3447

Appli­ca­tion mate­rials can be submitted online until November 11, 2017.

Apply here

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