Work­ing stu­dent in Data Sci­ence and Machine Learn­ing

  • oculid
  • Berlin, Germany
  • 23/01/2018
Internship Data Science Data Engineering Machine Learning Data Analytics Big Data Business Intelligence Statistics Software Engineering

Job Description

Facts

Type:

  • Work­ing Stu­dent
  • Intern­ship for Stu­dents
  • Thesis

Dur­a­tion: four months, con­tract can be renewed

Part-/Full-time:to be agreed

Remu­n­er­a­tion:~12€/h

Scope:

  • Com­puter sci­ences
  • Elec­tric­al En­gin­eer­ing
  • En­gin­eer­ing
  • IT / Tele­com­mu­n­ic­a­tions
  • Mathem­at­ics

Field of stud­ies:

  • Com­puter En­gin­eer­ing
  • Com­puter Sci­ence
  • Elec­tri­cal En­gin­eer­ing
  • En­gin­eer­ing
  • Mathem­at­ics

Com­puter skills: Python

Work­ing lan­guage: German, English

Lan­guage skills:

  • English (fluently written and spoken)
  • German (fluently written and spoken)

ocu­lid - gaze inter­ac­tion and authen­tic­a­tion solu­tions

User authen­tic­a­tion is ubi­quit­ous, be it for unlock­ing your smart phone, access­ing your online bank account or enter­ing work­places where sens­it­ive data is stored. Oculid’s authen­tic­a­tion sys­tem is a bio­met­ric sys­tem based on eye move­ments. It con­sti­tutes an intu­it­ive, innov­at­ive and secure multi factor authen­tic­a­tion without bur­den­ing the user with a mul­ti­level pro­cess.

Oculid is a Ber­lin-based start-up in the pre-seed stage, cur­rently fun­ded by the Exist-grant of the Ger­man Fed­eral Min­istry for Eco­nom­ics and Energy. We are a three-mem­ber mul­tidiscip­lin­ary team of engin­eer and psy­cho­lo­gists. User-centred design of human-com­puter inter­ac­tion and years of exper­i­ence in gaze ana­lysis and inter­ac­tion, are the found­a­tions of our work. Our way of work­ing is strongly influ­enced by a sci­entific approach, open­ness to new ideas, cre­at­ive genius, and a com­pas­sion­ate and cheer­ful atmo­sphere.

To learn more go to: www.oculid.com

Work­ing field:

  • Using machine learn­ing to design and test veri­fic­a­tion algorithms for user authen­tic­a­tion
  • Col­lab­or­at­ing on optim­iz­ing algorithms regard­ing fea­ture selec­tion, error rates and types of error
  • Col­lab­or­at­ing on imple­ment­ing veri­fic­a­tion algorithms into oculid’s pro­to­type

Require­ments:

  • Study sub­ject ideally in com­puter or data sci­ence
  • High affin­ity to meth­ods of machine learn­ing and hands-on exper­i­ence by own pro­jects or prior jobs
  • Excel­lent know­ledge of Python (scikit-learn, numpy, scipy)
  • Struc­tured and inde­pend­ent way of work­ing, hav­ing fun in solv­ing com­plex tasks
  • Good com­mu­nic­a­tion skills and a strong work ethos
  • Good know­ledge of either Ger­man or Eng­lish or both

What we of­fer:

  • Appro­pri­ate pay
  • Col­lab­or­at­ive and relaxed work envir­on­ment, work­ing with a three-mem­ber mul­tidiscip­lin­ary team that con­sists of psy­cho­lo­gists and engin­eers
  • Flex­ible work­ing hours; nice office loc­ated in cent­ral Ber­lin with a view on the Ber­lin TV tower
  • Pos­sib­il­ity to adopt respons­ib­il­ity quickly and to develop your tech­nical skills as well as soft skills
  • Being part of cre­at­ing the future of user authen­tic­a­tion, work­ing on innov­at­ive inter­ac­tion tech­niques.
  • See how your know­ledge and skills shape a product.

How to ap­ply:

In case you have ques­tions regard­ing the job, the tasks or any­thing else, please don’t hes­it­ate to con­tact Stefan Ruff (stefan.ruff@oculid.com).

Please note that this is a freel­ance pos­i­tion.

Con­tact per­son: Stefan RuffCon­tact

phone: +49 30 314 78924

By e-mail: stefan.ruff@oculid.com