[DBWorld] PhD Position in Human-In-the-Loop AI

# PhD Position in Human-In-the-Loop AI

Know What Your Machine Doesn't Know: A Critical Step Towards Reliable and T=
rustworthy AI

## Job description

Despite their impressive performance, machine learning systems remain large=
ly unreliable in safety-, trust- and ethically sensitive domains. Recent di=
scussions in several sub-fields of AI have reached the consensus of knowled=
ge need in machines; few discussions, however, have touched upon the diagno=
sis of what knowledge is needed.

The aim of this PhD project is to develop human-in-the-loop methods and too=
ls for the diagnosis of machine unknowns, a critical step towards reliable =
and trustworthy AI. We consider humans to be an indispensable means to unde=
rstanding the knowns and unknowns of intelligent machines, through human in=
terpretation of machine behavior and human creation of knowledge requiremen=
ts. We also consider computational algorithms as a vital tool to assist hum=
ans in knowledge reasoning at scale, under uncertainty. The PhD candidate w=
ill, therefore, conduct both empirical and theoretical research, with prima=
ry activities characterized by the design, implementation, and analysis of =
human studies, computational algorithms, and human-in-the-loop systems.

Knowing machine unknowns is essential for both making AI =E2=80=93debugging=
 the machine=E2=80=93 and using AI =E2=80=93deciding when to trust the mach=
ine output=E2=80=93 in any context. We envision the project to have both a =
tremendous scientific and practical impact, across all areas where AI and m=
achine learning are applied.

The position is offered within the Web Information Systems (WIS) group at T=
U Delft. The WIS group concentrates its research on engineering and science=
 of the Web, considering specifically the role of human-generated data in t=
he engineering of Web-based information systems. The WIS group is an intern=
ationally leading research group with researchers and students advancing th=
e state of the art in the following disciplines: large-scale data processin=
g, information and knowledge extraction, information retrieval, human compu=
tation and crowdsourcing, human-computer interaction, and user modeling.  =


## Requirements

The successful PhD candidate should:
1.	Have an MSc in Computer Science, or a closely related field;
2.	Have demonstrated competencies in one or more of these domains: Crowd Co=
mputing, Machine Learning, Natural Language Processing, Data Science, Human=
 Computer Interaction;
3.	Have strong interest and/or experience conducting empirical and theoreti=
cal research;
4.	Be self-motivated and enjoy research;
5.	Be a team player;
6.	Have good communication skills in English. =


## Conditions of employment

TU Delft offers PhD-candidates a 4-year contract, with an official go/no go=
 progress assessment after one year. Salary and benefits are in accordance =
with the Collective Labour Agreement for Dutch Universities, increasing fro=
m =E2=82=AC 2395 per month in the first year to =E2=82=AC 3061 in the fourt=
h year. As a PhD candidate you will be enrolled in the TU Delft Graduate Sc=
hool. The TU Delft Graduate School provides an inspiring research environme=
nt with an excellent team of supervisors, academic staff and a mentor. The =
Doctoral Education Programme is aimed at developing your transferable, disc=
ipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on healt=
h insurance and sport memberships, and a monthly work costs contribution. F=
lexible work schedules can be arranged. For international applicants we off=
er the Coming to Delft Service and Partner Career Advice to assist you with=
 your relocation.

## TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators =
of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a=
 top international university combining science, engineering and design. It=
 delivers world class results in education, research and innovation to addr=
ess challenges in the areas of energy, climate, mobility, health and digita=
l society. For generations, our engineers have proven to be entrepreneurial=
 problem-solvers, both in business and in a social context. At TU Delft we =
embrace diversity and aim to be as inclusive as possible. Together, we imag=
ine, invent and create solutions using technology to have a positive impact=
 on a global scale.

Challenge. Change. Impact! =


## Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EE=
MCS) brings together three disciplines - electrical engineering, mathematic=
s and computer science. Combined, they reinforce each other and are the dri=
ving force behind the technology we use in our daily lives. Technology such=
 as the electricity grid, which our faculty is helping to make future-proof=
. We are also working on a world in which humans and computers reinforce ea=
ch other. We are mapping out disease processes using single cell data, and =
using mathematics to simulate gigantic ash plumes after a volcanic eruption=
. There is plenty of room here for ground-breaking research. We educate inn=
ovative engineers and have excellent labs and facilities that underline our=
 strong international position. In total, more than 1,100 employees and 4,0=
00 students work and study in this innovative environment.

## Additional information

For information about this vacancy and the selection procedure, please cont=
act Dr. Jie Yang, Assistant Professor, email: [email protected], with the=
 subject [MachineUnknown].

## Application procedure

Are you interested in this vacancy? Please apply before September 17, 2021 =
via the application button and upload the following in two pdf files:
=E2=80=A2	(pdf 1) 1-page Motivation letter and your CV;
=E2=80=A2	(pdf 2) a (part of your) M.Sc. thesis or a paper that you have wr=
itten, in which you demonstrate your writing (and scientific) skills.
=E2=80=A2	Please highlight in your motivation letter and/or CV examples of =
projects and achievements that demonstrate your relevant competences.
=E2=80=A2	Please also include names and contact details of two references w=
hen applicable.=E2=80=82=E2=80=82
 =

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