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RWTH Aachen - Computational Network Science

The newly estab­lished Com­pu­ta­tio­nal Net­work Sci­ence group at RWTH Aachen, hea­ded by Michael Schaub, focu­ses on ana­ly­zing com­plex net­works and graph data using a blend of tools from con­trol theory, dyna­mi­cal sys­tems, sto­chastic pro­ces­ses, machine lear­ning and sta­tis­tics. Our rese­arch com­bi­nes ‘bot­tom-up’ dyna­mi­cal models, and ‘top-down’ data-dri­ven approa­ches to under­stand a variety of sys­tems, ran­ging from social to bio­lo­gi­cal net­works.

[See https://michaelschaub.github.io/ for more infor­ma­tion about our rese­arch port­fo­lio]

Sup­por­ted by the NRW return pro­gram (valued at 1.25 Mio Euro), we are offe­ring a PhD posi­tion wit­hin the area of 'lear­ning from data on net­works with uncer­tainty'.

Research Assistant (w/m/d)

Auf­ga­ben­be­sch­rei­bung:

You will do cut­ting-edge rese­arch, pre­sent your work at natio­nal and inter­na­tio­nal con­fe­ren­ces and publish in the lea­ding jour­nals. You may super­vise Bache­lor and Mas­ter stu­dents working on rela­ted topics and have a limi­ted invol­ve­ment in tea­ching. Suc­cess­ful can­di­da­tes will be employed as a regu­lar employee (full time posi­tion). The star­ting date is as soon as pos­si­ble, but later star­ting dates are nego­tia­ble.

Er­war­te­te Qua­li­fi­ka­tio­nen:

As an ideal can­di­date, you will have strong mathe­ma­ti­cal and ana­ly­ti­cal skills and a mas­ter Degree (or com­pa­ra­ble) in Com­pu­ter Sci­ence or a rela­ted disci­pline such as Sta­tis­tics, App­lied Mathe­ma­tics, Ope­ra­ti­ons Rese­arch, or Con­trol Engi­nee­ring. You have a genuine inte­rest in graph ana­ly­sis & net­work sci­ence, good pro­gramming and com­pu­ta­tio­nal skills and you are able to imple­ment and test your ideas with code. You are an ambi­tious team-player, eager and able to (co-)super­vise under­gra­duate stu­dents and take an important role in rese­arch pro­jects. You have excel­lent com­mu­ni­ca­tion skills.

Un­ser An­ge­bot:

The posi­tion is for three years and is to be fil­led at the ear­liest pos­si­ble date. We offer an initial one-year con­tract, which we anti­ci­pate to extend to three years (or more) upon suc­cess­ful com­ple­tion of the first year. This is a full-time posi­tion.

The suc­cess­ful can­di­date has the oppor­tu­nity to pur­sue a doc­to­ral degree.

The salary cor­re­sponds to pay grade EG EG 13 TV-L of the Ger­man public ser­vice salary scale (TV-L).

RWTH is a cer­ti­fied family-fri­endly Uni­ver­sity. We sup­port our employees in main­tai­ning a good work-life balance with a wide range of health, advi­sing, and pre­ven­tion ser­vices, for example uni­ver­sity sports. We also offer a com­pre­hen­sive con­ti­nuing edu­ca­tion scheme and a public trans­por­ta­tion ticket avail­able at a signi­fi­cantly redu­ced price. RWTH is an equal oppor­tu­nities employer. We the­re­fore wel­come and encou­rage app­li­ca­ti­ons from all sui­ta­bly qua­li­fied can­di­da­tes, par­ti­cu­larly from groups that are under­re­p­re­sen­ted at the Uni­ver­sity. All qua­li­fied app­li­cants will receive con­si­de­ra­tion for employ­ment and will not be discri­mi­na­ted against on the basis of natio­nal or eth­nic ori­gin, sex, sexual ori­en­ta­tion, gen­der iden­tity, reli­gion, disa­bi­lity or age. RWTH is stron­gly com­mit­ted to encou­ra­ging women in their care­ers. Female app­li­cants are given pre­fe­rence if they are equally sui­ta­ble, com­pe­tent, and pro­fes­sio­nally qua­li­fied, unless a fel­low can­di­date is favo­red for a spe­ci­fic rea­son. As RWTH is com­mit­ted to equa­lity of oppor­tu­nity, we ask you not to include a photo in your app­li­ca­tion. You can find infor­ma­tion on the per­so­nal data we collect from app­li­cants in accordance with Arti­cles 13 and 14 of the European Union's Gene­ral Data Pro­tec­tion Regu­la­tion (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung.

Hin­wei­se zur Be­wer­bung:

If you have any ques­ti­ons, please con­tact
Michael Schaub
Tel.: +49 (0) 241 80-21402
Email: michael.schaub@rwth-aachen.de

Please send your app­li­ca­tion by July 31, 2020 to
Com­pu­ta­tio­nal Net­work Sci­ence
Depart­ment of Com­pu­ter Sci­ence
RWTH Aachen Uni­ver­sity
Ahorn­straße 55 Buil­ding E3
D-52074 Aachen

App­li­cants are invi­ted to sub­mit their app­li­ca­ti­ons via email to michael.schaub@rwth-aachen.de. For data pro­tec­tion rea­sons, howe­ver, we recom­mend sen­ding app­li­ca­ti­ons via mail.